Dissertations / Theses on the topic 'Twitter behaviour'
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Järpehult, Oscar, and Martin Lindblom. "Longitudinal measurements of link usage on Twitter." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159331.
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As Twitter launched with their unique way of limiting posts to only 140 characters the usage of link shorteners was brought forth. This was the only way to fit long URLs in tweets until Twitter solved this by providing their own integrated link shortener. This study investigates how links are used on Twitter. The study include both care fulldata collection including multiple APIs and analysis of the collected data providing new insight into this topic. It was found that a small set of internet domains account for a large part of the links found in posted tweets. This set of top occurring domains did not necessarily reflect the top domains typically on common internet top lists. When looking at link shorteners in posted tweets we found that “bit.ly” was the most common one. Due to our method of collecting data we had the possibility of looking up the amount of clicks “bit.ly” links had received. We compared the click data to the amount of retweets the tweets containing these links had received and this led to some interesting discoveries regarding the ratio between these two.
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Dahlqvist, Veronica. "Why is the bird (re)tweeting? : Creating a simulation of retweeting behaviour on Twitter." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129352.
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Social media is a big part of today’s society. But how do we know where the information we put out on the internet end up? This bachelor thesis is part of a bigger project where first year students at the cognitive science program at Linköping University will be taught about modeling of a social phenomenon. A lot can be learned about a phenomenon through modeling and simulation and that was the motivation for this bachelor thesis – to try to make a simulation of the spreading of information on social media. The social media platform that was selected was Twitter and the information spreading was narrowed down to retweeting of a tweet. The simulation was implemented in NetLogo – a modeling and simulation program. The simulation was based on important factors that contribute to a person’s willingness to retweet. The factors were found in published research reports. The result was a simulation of retweeting on Twitter that in some aspects resemble the real world phenomenon as it is depicted in published research reports. Towards the end of the report there is a discussion about what factors contributed to the resemblance or the difference between the world depicted in the published research reports and the simulation.
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Alghamdi, Bandar Abdulrahman. "Topic-based feature selection and a hybrid approach for detecting spammers on twitter." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/204112/1/Bandar%20Abdulrahman%20A_Alghamdi_Thesis.pdf.
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This thesis is an application of text mining techniques on Twitter to detect harmful users known as spam users. It examines users' posted content and characteristics to understand harmful activities and detect them. The thesis proposed methods to identify a set of new features that can accurately represent users' behavior, and also proposed a novel two-stage approach to detect spam users based on the features. The experiments conducted in the thesis work showed the effectiveness of the proposed features and the two-stage approach in detecting spam users. The thesis work made contributions to creating more safe and healthy social networks.
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Almuhanna, Nora. "Social media acceptance and use under risk : a cross-cultural study of the impact of antisocial behaviour on the use of Twitter." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/419402/.
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The problem of online antisocial behaviour is increasingly attracting public attention and is compromising the quality of online communities. Previous research into online hostility has looked at different aspects of the problem, such as definitions, classification, or specific case studies in different cyberspaces; however, the impact of antisocial behaviour on social media users remain unclear. The purpose of this research, therefore, is to investigate the impact of antisocial behaviour on social media users, specifically on Twitter (as one of the controversial cyberspaces in which antisocial behaviour is common). Furthermore, since culture plays an important role in how people use social media and interact with each other, the study investigates the impact within one western and one non-western culture, namely the Anglophone and the Saudi Arabian cultures. One approach to understanding how people use a certain technology is through technology acceptance models and theories. Hence, this study proposes a new model, called the Technology Acceptance and Use under Risk (TAUR) model, which is based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The TAUR model integrates the perception of antisocial behaviour as a risk factor with other factors drawn from sociology. The model is derived from the literature and has been validated through expert reviews using semi-structured interviews. The study follows a sequential mixed methods design that gathers qualitative and quantitative data in an ordered sequence. The first phase, which included interviews with twelve experts from different disciplines, lent support to the TAUR model and inspired improvements. The second phase included a large-scale quantitative study that gathered data from 740 participants through an online questionnaire; the model was then assessed using Structural Equation Modelling (SEM) for the two different cultures. Lastly, the results were further explained through semi-structured follow-up interviews with 20 participants from both cultures. The results demonstrated that the TAUR model achieved a good fit with the data. The main finding was that the perception of antisocial behaviour does impose limitations on Twitter use, as the evidence obtained from the quantitative analysis shows that it has a negative interaction with the other factors influencing Twitter use. The subsequent qualitative analysis also supported the results by explaining how Twitter use is being restricted by perceptions of antisocial behaviour. The study also shows that performance expectancy from Twitter is a major influence on its use, despite the problem of antisocial behaviour. The research contributes to the body of knowledge in the fields of technology acceptance research, social media, and cross-cultural research theoretically, methodologically, and practically. It also demonstrates that the perceived risk of antisocial behaviour online has an effect on social media use.
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Gaillard, Béatrice. "Optimisation des stratégies de communication durant les épidémies d'arboviroses." Thesis, Montpellier 3, 2019. http://www.theses.fr/2019MON30096.
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Le fardeau des arbovirus à Aedes (comme la dengue, le chikungunya, le Zika, la fièvre jaune, etc.) s'est considérablement accru au cours des deux dernières décennies. En l'absence de vaccins (excepté pour la fièvre jaune), leur prévention et leur contrôle reposent principalement sur le contrôle des vecteurs moustiques, par le biais de stratégies intégrées de lutte antivectorielle dans lesquelles la participation collective est essentielle. Ainsi, comme le préconise l’Organisation Mondiale de la Santé qui fait de la mobilisation sociale l’un des piliers de la lutte contre les arbovirus, les plans de communication doivent être constamment optimisés.L'objectif général de cette thèse est donc d'évaluer l'influence des messages de prévention et la pertinence des nouveaux médias tels que Twitter pour optimiser les stratégies de communication afin d'influencer efficacement le comportement des populations exposées.Ce travail a été effectué dans deux zones épidémiologiques: le sud de la France, où ce risque est récent suite à l’invasion du vecteur Aedes albopictus, et la Martinique, où le moustique Aedes aegypti est implanté.Dans une première partie, nous définissons la nature du message la plus efficace au travers d’entretiens avec les populations du sud de la France et de la Martinique. Dans une deuxième partie, nous évaluons la robustesse de Twitter en tant que source de stratégies de communication en temps réel. Enfin, dans une troisième partie, nous évaluons les résultats de l’analyse des effets du chikungunya et l’expliquons, d’un point de vue sociologique.Mots-clés: réseaux sociaux, twitter, comportement humain, arboviroses, chikungunyaThe burden of Aedes-borne arbovirus (ie dengue, chikungunya, Zika, yellow fever...) has increased substantially during the last two decades. In the absence of vaccine and / or curative treatment for most of these pathogens, their prevention and control are mainly based on the control of mosquitoes vectors, through integrated strategies of vector control where collective participation is pivotal. Thus, as advocated by WHO that makes social mobilization one of the pillars of the fight against arboviroses, communication plans must be constantly optimized.Therefore, the overall goal of this PhD is to evaluate the influence of prevention messages and the relevance of new media such as Twitter to optimize communication strategies to effectively influence the behavior of exposed populations. This work was carried out in two epidemiological situations: the south of France, where this risk is recent following the invasion of the potential vector Aedes albopictus, and Martinique where the mosquito Aedes aegypti is implemented since decades and can generates an habituation feeling of the inhabitants.In a first part, we aim defining the nature of the most efficient message through interviews with the populations of southern France and Martinique. In a second part, we evaluate the robustness of twitter as a source of revalant information to adapt ni real-time communication strategies. Finally, in a third part, we estimate the feelings as measured on Twitter during an outbreak of Chikungunya and explain, from a sociological point of view, how the different communication strategies performed by the authorities have impacted population feelings.Keywords: social networks, twitter, human behavior, arboviroses, chikungunya
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Mowbray, John Alexander. "The role of networking and social media tools during job search : an information behaviour perspective." Thesis, Edinburgh Napier University, 2018. http://researchrepository.napier.ac.uk/Output/1516318.
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This research reported in this thesis explores job search networking amongst 16-24 year olds living in Scotland, and the role of social media platforms (i.e. Facebook, Twitter, and LinkedIn) during this process. Networking is treated as an information behaviour; reflecting this, the study is underpinned by a prominent model from the domain of information science. A sequential, mixed methods approach was applied to gather data. This included the use of interviews, focus groups, and a survey questionnaire. The interviews incorporated ego-centric network methods to develop a relational perspective of job search networking. The findings show that young people accrue different types of information from network contacts which can be useful for all job search tasks. Indeed, frequent networking offline and on social media is associated with positive job search outcomes. This is especially true of engaging with family members and acquaintances, and frequent use of Facebook for job search purposes. However, demographic and other contextual factors have a substantial impact on the nature of networking behaviours, and the extent to which they can influence outcomes. Additionally, young jobseekers face a range of barriers to networking, do not always utilise their networks thoroughly, and are more likely to use social media platforms as supplementary tools for job search. A key contribution of this work is that it provides a detailed insight into the process of networking that has been neglected in previous studies. Its focus on social media also reveals a new dimension to the concept which has received little attention in the job search literature. Given its focus on young jobseekers living in Scotland, the findings have also been used to create a detailed list of recommendations for practitioners.
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Tran, Hung Viet. "Discovering entities' behavior through mining Twitter." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3545.
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The unprecedented amount of user generated content from emerging social media platforms like Facebook and Twitter make them invaluable sources of information for research. Twitter in particular has about 500 million registered accounts globally who are generating approximately 340 million messages daily containing personal updates, general life observations, opinions, moods, etc. Twitter's vast amount of data, which is generally available, offers an ideal source for mining entities' behaviors. This thesis explores two research streams involving mining Twitter data. In the first work, we seek to understand the Twitter-based stakeholder communication strategies of firms. We analyze tweets posted by firms to build a system that can automatically predict target stakeholder groups of a given tweet. We also examine and incorporate firm characteristics into the system for performance improvement. The result will potentially provide valuable business intelligence to market analysts who would like to discover social media strategies and behaviors of firms. In the second work, we investigate how readers from different parts of the world react to news headlines through their Twitter messages. We design a framework for data collection, statistical analysis, sentiment analysis, and language model comparison to understand the interests and reactions of Twitter users towards news headlines. The results from this work can possibly help news organizations have better understanding of their audience for better services. Though the two research directions may seem distinct, there are points of connection. In both cases, we are interested in the impact of companies (firms and news organizations). Moreover the methods used are similar. Our results illustrate that just by gathering Twitter data stream and developing a framework to examine them, we are able to discover many interesting insights about news readers and firms.
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Nilsson, Olav, and Filip Polbratt. "Counting the clicks on Twitter : A study in understanding click behavior on Twitter." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139702.
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Social media has a large impact on our society. News articles are often accessed and shared through different social media sites . In fact, today the most common way to enter a website is from social medias. However, due to technical restrictions in what information these sites make public, it is often not possible to access click information from social medias. This complicates the analysis of popularity dynamics of news articles, for example. In this thesis, we work around that problem. By using an URL shortener service API, we can extract information about the clicks from the API. We will only look at content that is shared on Twitter because they have the friendliest view on sharing data for research purposes. To test this methodology we are doing a small prestudy in which we look at how biased news articles are shared on Twitter compared to more objective content. There are three parts in investigating the biased content. The first part is to extract Bitly links from Twitter. The second part is to examine the links and decide if it is a news article. Finally, we determine if the news article is biased. For this third step, we use two different approaches. First, we build a computational linguistics tool called a Naive Bayes classifier from already classified training data. Second, we classify different articles as articles with biased content or not, where an article is considered biased if the domain it resides on has a high content of biased articles. Our analysis of a sample data set that we have collected over a week showed that biased content is clicked for a longer period of time compared to non-biased content.
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Jeri-Yabar, Antoine, Alejandra Sanchez-Carbonel, Karen Tito, Jimena Ramirez-delCastillo, Alessandra Torres-Alcantara, Daniela Denegri, and Nilton Yhuri Carreazo. "Association between social media use (Twitter, Instagram, Facebook) and depressive symptoms: Are Twitter users at higher risk?" SAGE Publications Ltd, 2019. http://hdl.handle.net/10757/625046.
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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.Background: The purpose of this study was to determine the association between social media dependence and depressive symptoms and also, to characterize the level of dependence. It was a transversal, analytical research. Subjects and Methods: The stratified sample was 212 students from a private university that used Facebook, Instagram and/or Twitter. To measure depressive symptoms, Beck Depression Inventory was used, and to measure the dependence to social media, the Social Media Addiction Test was used, adapted from the Internet Addiction Test of Echeburúa. The collected data were subjected for analysis by descriptive statistics where STATA12 was used. Results: The results show that there is an association between social media dependence and depressive symptoms (PR [Prevalence Ratio] = 2.87, CI [Confidence Interval] 2.03–4.07). It was also shown that preferring the use of Twitter (PR = 1.84, CI 1.21–2.82) over Instagram (PR = 1.61, CI 1.13–2.28) is associated with depressive symptoms when compared to the use of Facebook. Conclusion: Excessive social media use is associated with depressive symptoms in university students, being more prominent in those who prefer the use of Twitter over Facebook and Instagram.
Revisión por pares
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Njegomir, Nicholas M. "The impact of Facebook, Twitter, and YouTube on Millennials' political behavior." Thesis, Gonzaga University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10118313.
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Social media plays a prominent role in the daily lives of Millennials. The majority of Millennials use some form of social media, and with the amount of political content on various social media sites, it is worth examining how social media influences Millennials’ political behavior. This study focused on three social media sites: Facebook, Twitter, and YouTube. This research was rooted in George Gerbner and Larry Gross’ Cultivation theory (1976), which states that long-term media exposure shapes reality. The study consisted of survey and focus group research, which attempted to determine how much time Millennials spend on each site, how politically active they are, and whether or not they thought their political behavior was influenced by social media. The resulting data showed that YouTube and Twitter were not used for political information, but Facebook is so saturated with political content that it may have a negative influence on formal political participation levels. Millennials may feel that participating in political dialogue on Facebook qualifies as formal political participation.
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Almalki, Abdullah Mohammed. "A survey of Saudis' behaviors toward twitter as a news gathering tool." Thesis, Arkansas State University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10095767.
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Given the increasing popularity and effect of online media, especially Twitter, as news sources, this study was designed to examine Saudis’ behaviors toward Twitter with regard to newspapers and information delivery and the role that Twitter plays in getting news updates. It investigated if Saudi Twitter users perceive Twitter as a credible source for news and rely on it to read the news more than legacy newspapers and their online counterparts. This research conducted an online survey and distributed it among Saudis who use Twitter to get news updates. The sample of this study had been drawn online by using the “SnowBall” sampling method through Survey Monkey and, the sample was collected during December 2015 and January 2016. A total of 3,003 Saudi Twitter users completed all questions in the survey. The results showed that Saudis consider Twitter as a newsgathering tool; therefore, they read news on Twitter more than reading legacy newspapers because it is easier and the fastest way of getting news, which indicated that the area of legacy newspapers in Saudi Arabia is at stake. Moreover, Saudis positively rated Twitter as a trustworthy and credible source for getting news updates. Thereby, they concurred that using Twitter has changed the path that people deal with legacy newspapers. Furthermore, non-legacy newspapers’ Twitter accounts received the lion's share of Saudis trust, especially Sabq newspaper, that was at the top as the newspaper account with the highest following. In regard to age groups, young Twitter users in Saudi Arabia trust non-legacy newspaper Twitter accounts more than older users, while old Twitter users were more likely to trust legacy newspaper Twitter accounts. The disbelief in the fairness of legacy newspapers could also be referred to the Saudis’ understanding that the government has a sweeping power to direct the media.
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Neto, Samuel Martins Barbosa. "Revealing social networks\' missed behavior: detecting reactions and time-aware analyses." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-24082017-000227/.
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Online communities provide a fertile ground for analyzing people\'s behavior and improving our understanding of social processes. For instance, when modeling social interaction online, it is important to understand when people are reacting to each other. Also, since both people and communities change over time, we argue that analyses of online communities that take time into account will lead to deeper and more accurate results. In many cases, however, users behavior can be easily missed: users react to content in many more ways than observed by explicit indicators (such as likes on Facebook or replies on Twitter) and poorly aggregated temporal data might hide, misrepresent and even lead to wrong conclusions about how users are evolving. In order to address the problem of detecting non-explicit responses, we present a new approach that uses tf-idf similarity between a user\'s own tweets and recent tweets by people they follow. Based on a month\'s worth of posting data from 449 ego networks in Twitter, this method demonstrates that it is likely that at least 11% of reactions are not captured by the explicit reply and retweet mechanisms. Further, these uncaptured reactions are not evenly distributed between users: some users, who create replies and retweets without using the official interface mechanisms, are much more responsive to followees than they appear. This suggests that detecting non-explicit responses is an important consideration in mitigating biases and building more accurate models when using these markers to study social interaction and information diffusion. We also address the problem of users evolution in Reddit based on comment and submission data from 2007 to 2014. Even using one of the simplest temporal differences between usersyearly cohortswe find wide differences in people\'s behavior, including comment activity, effort, and survival. Furthermore, not accounting for time can lead us to misinterpret important phenomena. For instance, we observe that average comment length decreases over any fixed period of time, but comment length in each cohort of users steadily increases during the same period after an abrupt initial drop, an example of Simpson\'s Paradox. Dividing cohorts into sub-cohorts based on the survival time in the community provides further insights; in particular, longer-lived users start at a higher activity level and make more and shorter comments than those who leave earlier. These findings both give more insight into user evolution in Reddit in particular, and raise a number of interesting questions around studying online behavior going forward.Comunidades online proporcionam um ambiente fértil para análise do comportamento de indivíduos e processos sociais. Por exemplo, ao modelarmos interações sociais online, é importante compreendemos quando indivíduos estão reagindo a outros indivíduos. Além disso, pessoas e comunidades mudam com o passar do tempo, e levar em consideração sua evolução temporal nos leva a resultados mais precisos. Entretanto, em muitos casos, o comportamento dos usuários pode ser perdido: suas reações ao conteúdo ao qual são expostos não são capturadas por indicadores explícitos (likes no Facebook, replies no Twitter). Agregações temporais de dados pouco criteriosas podem ocultar, enviesar ou até levar a conclusões equivocadas sobre como usuários evoluem. Apresentamos uma nova abordagem para o problema de detectar respostas não-explicitas que utiliza similaridade tf-idf entre tweets de um usuário e tweets recentes que este usuário recebeu de quem segue. Com base em dados de postagens de um mês para 449 redes egocêntricas do Twitter, este método evidencia que temos um volume de ao menos 11% de reações não capturadas pelos mecanismos explicitos de reply e retweet. Além disso, essas reações não capturadas não estão uniformemente distribuídas entre os usuários: alguns usuários que criam replies e retweets sem utilizar os mecanismos formais da interface são muito mais responsivos a quem eles seguem do que aparentam. Isso sugere que detectar respostas não-explicitas é importante para mitigar viéses e construir modelos mais precisos a fim de estudar interações sociais e difusão de informação. Abordamos o problema de evolução de usuários no Reddit com base em dados entre o período de 2007 a 2014. Utilizando métodos simples de diferenciação temporal dos usuários -- cohorts anuais -- encontramos amplas diferenças entre o comportamento, que incluem criação de comentários, métricas de esforço e sobrevivência. Desconsiderar a evolução temporal pode levar a equívocos a respeito de fenômenos importantes. Por exemplo, o tamanho médio dos comentários na rede decresce ao longo de qualquer intervalo de tempo, mas este tamanho é crescente em cada uma das cohorts de usuários no mesmo período, salvo de uma queda inicial. Esta é uma observação do Paradoxo de Simpson. Dividir as cohorts de usuários em sub-cohorts baseadas em anos de sobrevivência na rede nos fornece uma perspectiva melhor; usuários que sobrevivem por mais tempo apresentam um maior nível de atividade inicial, com comentários mais curtos do que aqueles que sobrevivem menos. Com isto, compreendemos melhor como usuários evoluem no Reddit e levantamos uma série de questões a respeito de futuros desdobramentos do estudo de comportamento online.
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Matos, Júnior João Batista Pereira. "Análise da fidelidade pelo comportamento dos usuários do twitter." Universidade Federal de Goiás, 2017. http://repositorio.bc.ufg.br/tede/handle/tede/7893.
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Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq
Users influence analysis over other users has been highlighted in studies involving online social networks, especially for the social network known as Twitter. However, there is still room for studies which analyze the influence that a user a exerts on another user e, based on the frequency of interactions from e dedicated to a in the social network. In the case of Twitter, three interactions are commonly used by users: the like, the mention and the retweet. This work assumes that a direct way of measuring the influence of a user a over another user e on Twitter is to observe the number of interactions of e with a over time. In this sense, a new concept called loyalty is proposed to define a specific and personalized type of influence, in which users, through their interactions, demonstrate preference by some peers in the social network (i.e., through the frequency of the interactions). Three aspects of loyalty were analyzed: i) intensity of interaction with the preferred user; ii) probability of interaction with users with whom there is loyalty, and iii) predictability of user interactions with their peers. Experiments done on a large sample of Twitter users reveal that the vast majority of users have loyalty to some user. In addition, the type of interaction and cultural aspects such as the written language used in the tweets differently affect the three aspects of fidelity considered. The paper also offers suggestions on how information derived from loyalty may be useful for future work related to influence on Twitter.
Análise da Fidelidade no Comportamento dos Usuários do Twitter– Um Estudo a Respeito da Influência Social com uma Visão Local Para Redes Sociais Online. A análise da influência de usuários sobre outros tem tido destaque em estudos envolvendo as redes sociais online, em especial a rede social Twitter. Entretanto, ainda há carência de trabalhos que analisem a influência que um usuário a tem sobre outro usuário e, com base na quantidade de interações que e tem com a na rede social. No caso do Twitter, três interações são comumente utilizadas pelos usuários: o curtir (ou gostar), o retweet e a menção. Este trabalho parte do princípio que uma forma direta de avaliar a influência que um usuário a tem sobre um usuário e no Twitter é observar o número de interações de e com a ao longo do tempo. Nesse sentido, propõe-se um novo conceito, denominado fidelidade, para definir um tipo específico e personalizado de influência, em que os usuários, por meio de suas interações, demonstram preferência (através da frequência de interações) por alguns de seus pares na rede social. Analisou-se três aspectos da fidelidade: i) intensidade de interação com o usuário preferido; ii) probabilidade de interação com usuários aos quais há fidelidade e iii) previsibilidade do usuário ao interagir com seus pares. Experimentos feitos em uma grande amostra de usuários, revelam que a grande maioria dos usuários têm fidelidade com algum outro usuário. Além disso, o tipo de interação e aspectos culturais como a língua escrita utilizada afetam de modo diverso os três aspectos de fidelidade considerados. O trabalho também apresenta sugestões de como as informações derivadas sobre a fidelidade podem ser úteis para trabalhos futuros relacionados à influência no Twitter.
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Janér, John, and Noah Rahimzadagan. "Swedish finance Twitter accounts short term impact on Swedish small cap companies." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302342.
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Over the last five years, the amount of retail investors has increased immensely. Trying to make informed decisions, many of the more active investors look to social media as a source of information. In early 2021, the eyes of the world focused on retail investors as Gamestop, a video game retailing company, experienced an immense price surge over the course of a few weeks on the stock market. This event, among others, lead the SEC (Securities and Exchange Commission) to open up a discussion about the impact of social media on the stock market. It seemed individual social media accounts were able to increase the volatility in a number of different stocks. This study investigates the immediate impact of larger Swedish Twitter accounts on the volatility and price of Swedish small- cap companies. Sentiment analysis and data modeling in the Python programming language were used in order to compare volatility and price changes before and after tweets of different sentiments were made about the companies. Our study was unable to find any correlation between an immediate change in price or an immediate increase in volatility and tweets made, suggesting Swedish finance Twitter accounts have little to no immediate impact on Swedish small- cap companies.Under de senaste fem åren har antalet privata investerare ökat markant. När privata investerare försöker göra välgrundade investeringsbeslut brukar de ofta använda inlägg på sociala medier som ledstjärna. Tidigt på år 2021 vändes blickarna mot privata investerare när priset på spelåterförsäljningsföretaget Gamestops aktier ökat med flera hundratals procent under bara loppet av några få veckor. Denna prisökning fick SEC (Securities and Exchange Commission i USA) att inleda en diskussion om inverkan av sociala medier på aktiehandeln. Mycket påvisade att individuella konton på sociala medier hade förmågan att öka volatilitet av aktiepriser för vissa bolag. Det här forskningsprojektet ämnar att undersöka den omedelbara inverkan av svenska twitterkonton på pris och volatilitet av pris av svenska småföretags aktier. Sentimentanalys och datamodellering gjordes i programmeringsspråket Python för att jämföra volatilitet och prisändringar innan och efter tweets av olika sentiment gjordes om de olika företagen. Studien lyckades inte visa på korrelation mellan en omedelbar ändring i pris eller omedelbar ökning i volatilitet och gjorda tweets, vilket tyder på att twitterkonton har inget eller väldigt lite inflytande på svenska småföretag.
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Talip, Bazilah A. "IT professionals' use a microblogs : a study of their information behaviours and information experience on Twitter." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/98963/1/Bazilah_Hj%20A%20Talip_Thesis.pdf.
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This thesis is a study of IT professional’s use of the microblog Twitter. The study shows that, Twitter is more useful for IT experts to connect, communicate and sharing information. Furthermore, the results gave the researcher an overview on the information behaviour and information experience on Twitter, where co-experience occurs by choice rather than by chance. Twitter is not only used for information-seeking and information-sharing, but it is also used as an information ground where the users meet and socialise with others.
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Ramacciotti, Fernando Martinelli. "The role of Twitter in the U.S. financial market." reponame:Repositório Institucional do FGV, 2018. http://hdl.handle.net/10438/24591.
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Significant market events in the financial market will only occur if there is synchrony among large groups of people and the media is the main vehicle to it. Previous works could find some relationship between newspapers and financial market indicators. This work revisits, in some sense, the findings of the traditional literature on financial market investors’ behavior and its relationship to the news, but now in the Modern Era context of social media. The main goal of this work is to identify if the overall sentiment of Twitter users has some relationship with the financial market. We created a database that joins non-structured data from tweets and structured time series data related to the S&P500 index, its trading volume and implied volatility (measured by the VIX). The non-structured data was processed in order to categorize each word from each tweet into several semantic categories defined by the Harvard-IV psychological dictionary. Then, two sentiment indexes were created via Principal Component Analysis (PCA): Engagement Factor (EF) and Optimism Factor (OF). Using Vector Autoregressive (VAR) framework, we simultaneously estimated the effects of sentiment on financial market variables and vice versa. Our results indicate that Twitter users seem to respond to financial market events, i.e. their sentiment is a consequence of financial events and do not have predictive power.
Eventos significativos no mercado financeiro ocorrem apenas se existe uma sintonia entre grupos de pessoas e a mídia é o principal meio para tal. Trabalhos anteriores encontraram relações entre notícias de jornais e o indicadores usados no mercado financeiro. Este trabalho, de certo modo, retoma as descobertas da literatura tradicional sobre a relação entre o comportamento de investidores do mercado financeiro e as notícias, porém agora no contexto da Era Moderna das mídias sociais. O principal objetivo desse estudo é identificar se o sentimento dos usuários do Twitter tem alguma relação com o mercado financeiro. Construiu-se uma base de dados que unifica dados não-estruturados de tweets com dados estruturados de séries de tempo financeiras do índice americano S&P500, o seu volume negociado e a sua volatilidade (esta medida pelo índice VIX). Os dados não-estruturados foram processados para poder categorizar cada palavra de cada tweet em categorias semânticas definidas dicionário psicológico Harvard-IV. Após isso, foram criados duas medidas de sentimento via Análise de Componentes Principais (PCA na sigla em inglês): os Fatores de Engajamento e Otimismo. Adotou-se o modelo de Vetor Autoregressivo (VAR) para estimar simultaneamente os efeitos dos sentimentos e variáveis do mercado financeiro uns nos outros. Os resultados indicam que os usuários do Twitter parecem ser mais responsivos aos eventos do mercado, ou seja, o sentimento produzido por seus tweets parecem ser reflexo de eventos financeiros e não têm poder preditivo.
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Stibe, A. (Agnis). "Socially influencing systems:persuading people to engage with publicly displayed Twitter-based systems." Doctoral thesis, Oulun yliopisto, 2014. http://urn.fi/urn:isbn:9789526205410.
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Abstract Organizations continuously strive to engage customers in the services development process. The social web facilitates this process by enabling novel channels for voluntary feedback-sharing and collaborative interaction through social media and technologically advanced environments. The component parts of these environments are information systems that are linked with social media and designed for large displays to support interactivity. The work performed during this research involved the design and assessment of operational software features for encouraging user engagement through publicly displayed information systems. Drawing upon socio-psychological theories and interconnecting them to the seven social influence design principles listed in the Persuasive Systems Design model, this dissertation examines the role of persuasive software features in altering human behavior with respect to engagement in feedback-sharing and collaborative interaction. The dissertation consists of five quantitative studies, including one Twitter survey (involving 403 respondents) and four experiments with publicly displayed Twitter-based systems (involving 284 users), that successively complement each other to address the main research question: How can social influence design principles persuade people to engage with publicly displayed systems that are integrated with social media? The results of these studies reveal interplay between the design principles and indicate that they have the capacity to improve the persuasiveness of information systems and predict the behavioral intentions of users to engage with such systems in the future. Based on these findings, a framework for studying socially influencing systems (SIS) is proposed. This framework is potentially instrumental in achieving a richer understanding of how to effectively harness social influence for enhanced user engagement through socio-technical environments and for the future development of persuasive information systemsTiivistelmä Organisaatioiden palvelukehityksen tavoitteena on sitouttaa ja innostaa asiakkaita. Sosiaalinen verkko edistää tätä prosessia tarjoamalla uusia väyliä niin vapaaehtoiselle palautteenjaolle kuin sosiaalisessa mediassa ja edistyneissä teknologisissa ympäristöissä tapahtuvalle interaktiiviselle yhteistyöllekin. Nämä ympäristöt koostuvat tietojärjestelmistä, jotka on yhdistetty sosiaaliseen mediaan, ja jotka on suunniteltu interaktiota edistäville suurille näytöille. Tässä tutkimuksessa on suunniteltu ja arvioitu ohjelmisto-ominaisuuksia, joiden tarkoitus on suostutella ja osallistuttaa julkisesti esilläolevien tietojärjestelmien ja näyttöjen kautta. Tutkimus nojaa sosiopsykologiseen teoriapohjaan, ja yhdistää näitä seitsemään sosiaalisen vaikuttamisen suunnitteluperiaatteeseen, jotka on kuvattu vaikuttavien suunnittelumenetelmien mallissa. Tämä väitöstyö tutkii vaikuttavien ohjelmistollisten ominaisuuksien osuutta käyttäytymisen muuttamisessa kohdistuen erityisesti siihen, miten loppukäyttäjää voidaan suostutella jakamaan palautetta ja ottamaan osaa interaktiiviseen yhteistyöhön. Työ koostuu viidestä määrällisestä tutkimuksesta, jotka vastaavat tutkimuskysymykseen: kuinka sosiaalisen vaikuttamisen suunnitteluperiaatteet voivat suostutella ja vakuuttaa ihmiset käyttämään julkisesti esilläolevia järjestelmiä, jotka on yhdistetty sosiaaliseen mediaan? Tutkimuksista yksi on Twitter-kyselytutkimus (403 vastaajaa) ja neljä tutkimusta tehtiin julkisesti esilläolevalla Twitter-pohjaisella järjestelmällä (284 vastaajaa). Tutkimusten tulokset osoittavat mainittujen suunnitteluperiaatteiden keskinäisen vuorovaikutuksen, sekä kuinka niiden avulla voidaan parantaa tietojärjestelmien vaikuttavuutta ja ennustaa tulevaa käyttöä. Tutkimustulosten pohjalta työssä luodaan viitekehys sosiaalisesti vaikuttavien järjestelmien tutkimukseen. Tämä viitekehys on keskeisessä asemassa pyrittäessä saavuttamaan syvällisempi ymmärrys siitä, kuinka käyttäjiä voidaan suostutella hyödyntämällä sosiaalista vaikuttamista. Viitekehystä voidaan käyttää myös vaikuttavien järjestelmien kehittämisessä
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Amiruzzaman, Md. "ASSESSING THE PSYCHOMETRIC PROPERTIES OF NEWLY DEVELOPED BEHAVIOR AND ATTITUDE TWITTER SCALES: A VALIDITY AND RELIABILITY STUDY." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1572861573752847.
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Gadek, Guillaume. "Détection d'opinions, d'acteurs-clés et de communautés thématiques dans les médias sociaux." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR18/document.
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Les réseaux sociaux numériques ont pris une place prépondérante dans l'espace informationnel, et sont souvent utilisés pour la publicité, le suivi de réputation, la propagande et même la manipulation, que ce soit par des individus, des entreprises ou des états. Alors que la quantité d'information rend difficile son exploitation par des humains, le besoin reste entier d'analyser un réseau social numérique : il faut dégager des tendances à partir des messages postés dont notamment les opinions échangées, qualifier les comportements des utilisateurs, et identifier les structures sociales émergentes.Pour résoudre ce problème, nous proposons un système d'analyse en trois niveaux. Tout d'abord, l'analyse du message vise à en déterminer l'opinion. Ensuite, la caractérisation et l'évaluation des comptes utilisateurs est réalisée grâce à une étape de profilage comportemental et à l'étude de leur importance et de leur position dans des graphes sociaux, dans lesquels nous combinons les mesures topologiques d'importance des noeuds dans un graphe avec les statistiques d'engagement, par exemple en nombre d'abonnés. Enfin, le système procède à la détection et à l'évaluation de communautés d'utilisateurs, pour lesquelles nous introduisons des scores de cohésion thématique qui complètent les mesures topologiques classiques de qualité structurelle des communautés détectées. Nous appliquons ce système d'analyse sur deux corpus provenant de deux médias sociaux différents : le premier est constitué de messages publiés sur Twitter, représentant toutes les activités réalisées par 5 000 comptes liés entre eux sur une longue période. Le second provient d'un réseau social basé sur TOR, nommé Galaxy2. Nous évaluons la pertinence de notre système sur ces deux jeux de données, montrant la complémentarité des outils de caractérisation des comptes utilisateurs (influence, comportement, rôle) et des communautés de comptes (force d'interaction, cohésion thématique), qui enrichissent l'exploitation du graphe social par les éléments issus des contenus textuels échangésOnline Social Networks have taken a huge place in the informational space and are often used for advertising, e-reputation, propaganda, or even manipulation, either by individuals, companies or states. The amount of information makes difficult the human exploitation, while the need for social network analysis remains unsatisfied: trends must be extracted from the posted messages, the user behaviours must be characterised, and the social structure must be identified. To tackle this problem, we propose a system providing analysis tools on three levels. First, the message analysis aims to determine the opinions they bear. Then, the characterisation and evaluation of user accounts is performed thanks to the union of a behavioural profiling method, the study of node importance and position in social graphs and engagement and influence measures. Finally the step of user community detection and evaluation is accomplished. For this last challenge, we introduce thematic cohesion scores, completing the topological, graph-based measures for group quality. This system is then applied on two corpora, extracted from two different online social media. The first is constituted of messages published on Twitter, gathering every activity performed by a set of 5,000 accounts on a long period. The second stems from a ToR-based social network, named Galaxy2, and includes every public action performed on the platform during its uptime. We evaluate the relevance of our system on these two datasets, showing the complementarity of user account characterisation tools (influence, behaviour and role), and user account communities (interaction strength, thematic cohesion), enriching the social graph exploitation with textual content elements
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Althawadi, Othman M. "UTILIZING THE THEORY OF PLANNED BEHAVIOR TO UNDERSTAND CONSUMERISM: THE USE OF TWITTER FOR CONSUMERISM BETWEEN SAUDI AND AMERICAN CONSUMERS." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/dissertations/793.
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The history of consumerism shows that consumer movements in developed countries with capitalist economies in general, and in the United States in particular, have had great success in helping customers get safer products (car seat belts), more information (product labels), and better market regulation (the Consumer Product Safety Act). Consumer interests in developed countries are represented by several sets of organizations with different concerns. These consumer interests are fragmented but well articulated, whereas in developing countries, consumer interests are homogeneous and unarticulated. Moreover, compared with the hyper-connected world we live in today, in the past greater efforts were required to mobilize consumers for consumerism actions such as protests, boycotts, calls for policy change, and demands for more government regulations. The purpose of this study is to develop a testable model of consumerism, with a focus on market settings within a developed country, the United States, and a developing country, Saudi Arabia. The goals are to (a) understand why some consumers go beyond the norm to engage in consumerism behaviors, and (b) whether their level of consumerism differs between that of a developed and a developing country, and if so, why. To this end, a consumerism model based on the Theory of Planned Behavior (TPB) was developed. The research provides the first set of data and the first quantitative analysis regarding consumerism behaviors in conjunction with the use of an online platform (Twitter) among Saudi Arabian and American consumers. The developed model explained consumerism behaviors. Furthermore, this study demonstrates that the Saudi sample had a higher level of intent to engage in consumerism behaviors than did the American sample. Also, this study shows that the Saudi sample had a negative perception of government regulatory practices and a higher level of intent to engage in consumerism behaviors on Twitter than the American sample. Thus, in Saudi Arabia, a country with a restricted civil society and only one semi-independent consumer protection organization, more consumers use Twitter as a consumerism platform than in the US, a country with an unrestricted civil society and numerous independent consumer organizations.
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García-Gavilanes, Ruth Olimpia. "User behavior in microblogs with a cultural emphasis." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/287974.
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The main objective of this thesis is to carry out a multidisciplinary study of the behavior of microblog users. To that end we first explore several user behavior patterns employing data mining techniques. Then we use social science theories of culture and socio-economic indicators to better understand differences and similarities of user behavior across countries.
We found several insights on user behavior such as (i) social link recommendations made by current friends have a large effect on link formation and the accepted recommendations have more longevity than other links; (ii) as users mature, they evolve to adopt microblogs as a news media rather than a social network; (iii) the collective behavior of users from some countries standout, based on certain special characteristics such as conversations, reciprocity, etc.; (iv) national culture determines the temporal patterns with which users post, or the extent to which they mention, follow, recommend and befriend others; and (v) socio-economic and cultural features improve the prediction of communication strength among users from different countries.El objetivo principal de esta tesis es realizar un estudio multidisciplinario sobre la conducta de los usuarios en microblogs. Para ello primero exploramos varios patrones de comportamiento de usuario usando técnicas de minería de datos. Luego usamos algunas teorías de las ciencias sociales en cultura e indicadores socioeconómicos para comprender mejor las diferencias y similitudes del comportamiento de los usuarios en diferentes países. Encontramos varios resultados interesantes sobre el comportamiento del usuario, tales como, (i) las recomendaciones de enlaces sociales hechas por amigos tienen un gran efecto sobre la formación de enlaces sociales y las recomendaciones aceptadas tienen más longevidad que otros enlaces; (ii) a medida que los usuarios maduran, estos evolucionan a usar los microblogs como un medio de comunicación en lugar de una red social; (iii) el comportamiento colectivo de los usuarios de algunos países se destaca en base a ciertas características peculiares, tales como conversaciones, reciprocidad, etc.; (iv) la cultura nacional determina los patrones temporales con los que los usuarios publican mensajes, o el grado en que se mencionan, recomiendan y siguen los unos a los otros; y (v) las características socioeconómicas y culturales ayudan a mejorar la predicción de la intensidad de la comunicación entre los usuarios de diferentes países.
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Bowen, Braeden. "“It Doesn’t Matter Now Who’s Right and Who’s Not:” A Model To Evaluate and Detect Bot Behavior on Twitter." Wittenberg University Honors Theses / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wuhonors1623686115831856.
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Pinheiro, Pablo Ramon de Lima. "Olho por olho, dente por dente em 140 caracteres: comportamento de retaliação por usuários de serviço público no Twitter." Universidade Federal da Paraíba, 2012. http://tede.biblioteca.ufpb.br:8080/handle/tede/3817.
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Previous issue date: 2012-08-17Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
The daily life has been marked by interactions in cyberspace, it is noteworthy in this context the use of social media on the Internet, which have enabled individuals to an unprecedented level of connection. This network of individuals makes possible the dissemination of ideas to people in a very short time period. For organizations this aspect can be positive, and negative as well, since a retaliation message may take unwanted proportion in the network. In this regard, many government agencies began to mobilize efforts to monitor users' interactions on social media such as Twitter and Facebook. This study was aimed to categorize the retaliation behavior from users of public services on the micro blogging tool known as Twitter following the profiles linked to the city of João Pessoa municipal administration. The equity theory proposed by Adams (1965) was used on the research. A qualitative approach was adopted. The study used a corpus composed of retaliation messages collected directly from Twitter and stored in a database. To perform the analysis, the researcher adopted the content analysis technique, using a priori categories as defined in the work of Huefner and Hunt (2000) and Albuquerque, Pereira, Bellini (2011), and the categories a posteriori that emerged throughout the analysis. The strategy for classifying posts was divided on category, retaliation motivation and fairness perception. The analysis resulted in seven categories of retaliation and six motivational aspects of behavior, which led to the understanding of conceptual differences between products and services consumption from the private sector and public services. The differences are reflected regarding the retaliation types chosen. The research detected that the behavior of retaliation can provide organizations with information relevant to the establishment of e-government strategies and social media marketing.
O cotidiano das pessoas tem sido marcado pelas interações no ciberespaço, tem destaque nesse contexto o uso das mídias sociais na Internet as quais têm possibilitado aos indivíduos um nível de conexão sem precedentes. Essa rede de indivíduos faz com que uma ideia possa se propagar para muitas pessoas em pouco tempo. Para as organizações esse aspecto pode ser positivo, bem como pode ser negativo, uma vez que uma mensagem de retaliação pode tomar uma proporção indesejada na rede. Por isso, muitos órgãos públicos passaram a mobilizar esforços para acompanhar as interações dos usuários em mídias como Twitter e o Facebook. Desta forma, este estudo teve como objetivo categorizar o comportamento de retaliação de usuários de serviços públicos no microblog Twitter entre os seguidores dos perfis ligados à administração municipal de João Pessoa-PB, fazendo uso para isso da teoria da equidade proposta por Adams (1965). Assumindo uma abordagem qualitativa, a pesquisa usou um corpus composto por mensagens de retaliação coletadas diretamente do Twitter e armazenada em uma base de dados. Para realização da análise o pesquisador usou a técnica de análise de conteúdo, usando categorias a priori definidas nos trabalhos de Huefner e Hunt (2000) e Albuquerque, Pereira, Bellini (2011), e de categorias a posteriori que foram surgindo ao longo da análise. Assim, utilizou-se uma estratégia de classificação das mensagens dividida quanto à categoria, quanto à motivação da retaliação e quanto à percepção de justiça. Resultaram da análise sete categorias de retaliação e seis aspectos motivadores desse comportamento, o que conduziu a compreensão que as diferenças conceituais entre consumidor de produtos e serviços da esfera privada e usuários de serviços públicos também se refletem no que diz respeito ao tipo de retaliação escolhida. E que o comportamento de retaliação pode fornecer às organizações informações importantes para o estabelecimento de estratégias de governo eletrônico e de marketing em mídias sociais.
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Pettersson, Sandra. "Social Media as a Crisis Response : How is the water crisis in Cape Town dealt with on Twitter." Thesis, Linnéuniversitetet, Institutionen för samhällsstudier (SS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76597.
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In our interconnected world, social media is a vital tool for communication in the everyday life of individuals. The importance of social media in society has increased not only in times of peace, but social media has grown to be instrument of influencing crisis. In recent years, social media’s role in crisis and crisis response was observed by many scholars for different crisis. One of the most recent ones is the water crisis in Cape Town, South Africa, which was chosen as a case study due to its current relevance in the social media landscape. The obviously high use of social in this crisis is what this qualitative desk study investigates. This study does, however, not aim to analyse social media as a solution for a crisis, but sheds light on the patterns of social media behaviour. This research thus aims to understand Why people turn to social media in a crisis? Subsequent to this, this research analyses whether different types of users resort to social media during a crisis for different reasons. The results were obtained through applying a frameworks: As the main tool of analysis, the Different Users and Usage Framework by Houston et al. (2015). Assisting on explaining some specific part of the findings, the Theory of Planned Behavior (Icek Ajzen, 1991) was applied. Three main findings were analysed for the case study: (1) People turn to social media during a crisis for different reasons and in the case of the water crisis in South Africa, fifteen usage areas were observed. (2) According to the analytical results, different users tend to dominate different usage areas and (3) During the Cape Town crisis, it was common practice for businesses and corporations to raise awareness and combine it with promoting their business.
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Rizzuti, Noel T. "The power of politics: selective exposure and social identity cues." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/17648.
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Master of ScienceDepartment of Journalism and Mass Communication
Curtis Matthews
The objective of this study is to shed light on the interaction between the theory of selective exposure and social identity theory. Both of these theories describe aspects regarding how individuals expose themselves to information. However, the driving question of the study was to investigate the behavior of individuals whom experience cognitive dissonance from an inconsistent political message, but are receiving that message from a member of their perceived in-group. The expectation was that moderating variables, such as strength of identification with an ideology as well as the level of knowledge would impact who would engage in selective exposure and choose to disregard in-group cues, or choose inconsistent messages to stay true to in-group pressures. In a Qualtrics experiment, participants (n=189) were divided into different groups, attitude consistent and attitude inconsistent and were exposed to a series of tweets. Each tweet was politically charged, with the attitude-consistent group presenting consistent messages paired with in-group cues, and in the attitude-inconsistent group presenting a dissonant message was paired with the in-group cue, and visa versa. Two factors revealed themselves to impact results and message choice — knowledge and strength of identification. Results revealed that individuals who had a high level of knowledge chose the consistent message more often than those with low knowledge. The strength of ideology variable influenced differences in both the speed in which they made decisions on which tweet to select, as well as how quickly they identified with an ideology level. This result revealed that those who are strongly identified with an ideology make decisions regarding political messages and ideology faster than those who are weakly identified. The current study contributes to the plethora of literature regarding these two theories and the political science area of study by supporting knowledge as a moderating variable between cognitive dissonance and social identity pressures. It also provides insight into the trends and patterns that can arise when time/speed are utilized as a variable to shed light on group identification differences. The insights with the variables of time, strength of ideology, level of knowledge, could lead to numerous future studies.
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Franzén, Johanna, and Johannes Swenson. "Persuasive design i praktiken : Hur fyra SNS tillåter, motiverar samt triggar användare att nå målbeteenden." Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-30742.
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Social networking sites and their functions are in constant change and with every new innovation different user behaviors are encouraged or prevented. Persuasive design is one way of designing a system to encourage a certain behavior. In this study we conducted four surveys of Sweden’s four most popular Social networking sites and how they are used. We followed up with ten interviews to gain understanding of why the users use these sites in a certain way. We identified four different target behaviors on Facebook, Instagram, Twitter and LinkedIn with help from the results we gathered from our surveys and our interviews. We then used a behavior model for persuasive design (FBM) to identify the different factors of the model in Facebook, Instagram, Twitter and LinkedIn’s design. The three factors of the behavior model are: motivation, ability and triggers. To gain further understanding of how Facebook, Instagram, Twitter and LinkedIn motivates, allows and triggers users to perform target behaviors we analyzed our findings using theories from research already done on persuasive design. We found that persuasive design was a powerful tool when it comes to making users perform a certain target behavior. Where the target behavior was not being performed we identified where the design did not correspond with the behavior model. Our goal was to expand on the behavior model by providing it with real world examples. By doing so we hope to help designers gain further understanding about how persuasive design works and how to put it into practice.
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Zeigler, Bernard P. "Contrasting emergence: In systems of systems and in social networks." SAGE PUBLICATIONS INC, 2017. http://hdl.handle.net/10150/621270.
Full textAbstract:
This article considers emergence in the context of systems of systems, examining the earlier proposed tri-layered architecture in some depth. In contrast with healthcare reform, a social media phenomenon, the emergence of topics in the Twitter user community, is shown not to satisfy a critical condition of the architecture. Nevertheless, detection of topic emergence is shown to offer insights into the design of Emergence Behavior Observers.
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Miah, MD Kaiyum, and Alokananda Bhattacharjee. "A Study on Social Media Networks : Impact of Intrinsic Motivators and Demographic Factors." Thesis, Umeå universitet, Handelshögskolan vid Umeå universitet, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-45552.
Full textAbstract:
The advent of social media networks is radically changing the way we communicate, shareand socialize. These networks are also creating impact on consumer behavior. In this study,we tried to analyze the factors working behind the intrinsic motivation of people upon whichthey are interacting in the social networks and formulating their preferences.Based on the theory of intrinsic motivation, we identified five factors to be most relevant withthe phenomena we attempted to address which are Curiosity, Power, Status, Tranquility, andIndependence. Among these five factors, we tried to analyze the relative importance of eachone on the buying behavior of users in the form of choosing social media platforms. Westretched out inquiry to the identification of the influence of demographic factors as well.According to our analysis, it has been revealed that the relative importance of curiosity ismore than any other factors and it also has a strong association with the nationality of theuser. Again, status has been identified as the second most important factor however; itshowed no association with any demographic factor.To conduct this study, we have taken a qualitative approach. Our philosophical underpinningsare based on the positivist and objectivist perspective which defined how we are going toreceive and interpret reality as researchers. However, on more practical terms, we chosesurvey as our data collection method as it allows us to collect mentionable amount of datawithin a short time span and keeps the opportunity of higher statistical analysis open.Regarding the sampling method, we have followed both the non-probability conveniencesampling and Quota sampling method. We have collected our 206 respondents from UmeaUniversity, which was divided by equal half of male and female quota. After collecting thedata, we analyzed it and presented the empirical findings in the chapter 5. Then the analysisrelating to the research question and the hypotheses was presented in the chapter 6 where wealso decided about the null hypotheses on the basis of stringent statistical tests. At the end, wesummed up out findings and proposed some implications and future research possibilities.This study can be helpful to understand the links between human motivation and the userinteraction in the social networks. This kind of relationships has not been fully appreciated inthe literature so far. From a managerial perspective, social media platforms are continuouslybecoming one great route to reach the consumers and engage them with the brands. Thus,understanding the motivation of the users might help the marketers to formulate their strategybetter and they can also take better decisions regarding which kind of social media is to use topromote the products on. As we also studied the demographic factors and one of the uniquecapacities of social media networks is the ability to identify demographic segments veryspecifically, the managers can capitalize on our demographic findings to differentiate theirpromotion on the basis of demographics across various social media platforms.This study has several limitations as time and resource scarcity did not allow us to explore theissue more profoundly. Thus, it has kept many research opportunities open such as exploringthe influence of psychographic factors on the choice of social media, use of user generatedcontent to build a stronger brand profile, identification of extrinsic motivators behind thebuying behavior of users and so on.
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Margaretten, Mark Stuart. "Behavioural models for identifying authenticity in the Twitter feeds of UK Members of Parliament : a content analysis of UK MPs' tweets between 2011 and 2012 : a longitudinal study." Thesis, University of Sussex, 2018. http://sro.sussex.ac.uk/id/eprint/80525/.
Full textAbstract:
That the public distrusts politicians is prevalent in both polling and academic literature (Uberoi & Apostolova, 2017; van der Meer, 2017; YouGov, 2017a, 2017b). Whether it's true that politicians cannot actually be trusted is really immaterial. If McCombs (2004) and Lippman (1922) are correct, and the media has an enormous impact on public opinion simply by establishing this dire narrative, then the perception of mistrust has become fact. Citizens are disengaged, misinformed, and weary. Politicians issue statements to meet political expediencies. Trust is a critical component of democracy, and only by behaving in a substantively new manner can politicians restore it. The irony is that this image cannot be artificially constructed; they must behave naturally and re-introduce themselves to a public sceptical of media training and spin. To restore trust they must present themselves as they truly are. They must behave authentically. This thesis examines the tweets made by UK MPs during 2011 and 2012 (n=774,467) for evidence of authenticity and establishes behavioural models that identify authentic talk in large Twitter datasets. The analytical .framework that defines authenticity and informs the content analysis is broadly based on the prior work examining authentic behaviour in reality TV conducted by Coleman (2006) that reveals performative characteristics that audiences are drawn to; Hall's (2009) examination of the good and bad effects of mediated communication on reality TV audiences; Liebes's (2001) examination of sincerity and humility in the performance of authenticity by politicians; Montgomery's (2001b) work examining the presence of authenticity in the press behaviour of UK MPs and his examination of Goffman's relevance to mediated communication (Montgomery, 2001a). This study also challenges Goffman's Dramaturgical theory which positions public communication either on stage or backstage by suggesting that the backstage is now performed onstage (Goffman, 1959, 1981). Additionally, this content analysis is informed by Henneberg and Scammell's examination of how competing perceptions of democratic theory can be used to evaluate a politician's political marketing techniques (Henneberg, Scammell, & O'Shaughnessy, 2009) and positions the behavioural models within these techniques. It is also important to note that the 774,467 tweets subjected to a quantitative and qualitative content analysis, as far as can be established, is the only large-scale longitudinal study of parliamentary Twitter behaviour.
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Belden, Megan. "Trumping The Norm: Political Influence Of Negative Emotion In The 2016 Election." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/scripps_theses/1126.
Full textAbstract:
Emotion acts as a primer for our memory retention and encoding processes. In the 2016 election, we saw an increase in negative or hostile rhetoric from candidates. I argue this is due to the use of Twitter and the physical representation of engagement. This paper examines the effect of enthusiasm, anxiety, and hostility in response to political tweets. Tweets from Republican presidential candidates, Donald Trump, Ted Cruz, and Marco Rubio were analyzed for emotional response content to explore mean differences in retweets from the three emotions.
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Graells-Garrido, Eduardo. "Biased behavior in web activities: from understanding to unbiased visual exploration." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/294280.
Full textAbstract:
Las tendencias actuales en la Web apuntan hacia la personalización de contenido, lo que no sería un
problema en un mundo uniforme y sin sesgos, pero nuestro mundo no es ni uniforme ni libre de
sesgos. En esta tesis planteamos la hipótesis de que los sesgos sistémicos y cognitivos que afectan a
las personas en el mundo físico también afectan el comportamiento de éstas al explorar contenido en
la Web. Proponemos que es posible fomentar una disminución en el comportamiento sesgado a
través de una mirada holística que incluye cuantificación de sesgos, formulación de algoritmos, y
diseño de interfaces de usuario. Estas tres partes del proceso propuesto son implementadas
utilizando técnicas de Minería de la Web. A su vez, son guiadas por las Ciencias Sociales, y
presentadas a través de sistemas Casuales de Visualización de Información. Seguimos un enfoque
transversal en el cual se aplica este proceso con diferentes niveles de profundidad a lo largo de tres
casos de estudio en Wikipedia y Twitter.
Como resultado, observamos que los sesgos presentes en el mundo físico efectivamente se ven
reflejados en plataformas Web, afectando el contenido, la percepción y el comportamiento de las
personas.
A través del análisis transversal de los casos de estudio, se presentan las siguientes conclusiones:
1) las herramientas de Minería de la Web son efectivas para medir y detectar comportamiento
sesgado;
2) las técnicas de Visualización de Información enfocadas en personas no expertas fomentan el
comportamiento no sesgado;
y 3) no existen soluciones universales, y en adición a los contextos sociales y culturales, los sesgos
deben ser considerados a la hora de diseñar sistemas.
Para alcanzar estas conclusiones se implementaron sistemas "en la selva", evaluados de manera
cuantitativa en un entorno no controlado, con un enfoque en métricas de participación y
compromiso. El uso de dichas métricas es una contribución de la tesis, ya que probaron ser efectivas
al medir diferencias en el comportamiento en sistemas exploratorios.
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Farahbakhsh, Reza. "Profiling professional and regular users on popular Internet services based on implementation of large scale Internet measurement tools." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0012/document.
Full textAbstract:
Les services Internet populaires modèlent et remodèlent fondamentalement les moyens traditionnels de communication des personnes, ayant ainsi un impact majeur sur leur vie sociale. Deux des services Internet très populaires avec cette caractéristique sont les Réseaux sociaux en ligne (OSN) et les systèmes Peer-to-Peer (P2P). Les ONS fournissent un environnement virtuel où les gens peuvent partager leurs informations et leurs intérêts tout en étant en contact avec d'autres personnes. D'autre part, les systèmes P2P, qui sont toujours l'un des services populaires avec une grande proportion de l'ensemble du trafic Internet, offrent une occasion en or pour leurs clients de partager un type de contenu différent, y compris le contenu protégé. En dehors de l'énorme popularité des ONS et des systèmes de P2P parmi les utilisateurs réguliers, ils sont intensivement utilisés par les professionnels (grandes entreprises, politiciens, athlètes, célébrités en cas d'ONS et éditeurs de contenu professionnels en cas de P2P) afin d'interagir avec les gens à des fins différentes (campagnes marketing, les commentaires des clients, amélioration de la réputation publique, etc.) Dans cette thèse, nous caractérisons le comportement des utilisateurs réguliers et professionnels dans les deux services mentionnés populaires (ONS et P2P) en termes de stratégies de publication, de consommation de contenu et d'analyse comportementale. À cette fin, cinq de nos études menées sont présentées dans ce manuscrit comme suit: - "L'évolution des contenus multimédias", qui présente une analyse approfondie sur l'évolution du contenu multimédia disponible en BitTorrent en se concentrant sur quatre mesures pertinentes à travers différentes catégories de contenu : la disponibilité du contenu, la popularité du contenu, la taille de contenu et les commentaires de l'utilisateur - "La réaction des utilisateurs professionnels face aux actions de lutte contre le piratage", en examinant l'impact de deux grandes actions de lutte contre le piratage - la fermeture de Megaupload et la mise en œuvre de la loi anti-piratage française (HADOPI) - sur le comportement des publicateurs professionnels dans le plus grand portail de BitTorrent qui sont les principaux fournisseurs de contenu en ligne protégé. - "La quantité d'informations divulguées sur Facebook", en enquêtant sur l'exposition publique des profils utilisateurs, une grande base de données comprenant un demi-million d'utilisateurs réguliers. - "Les utilisateurs professionnels Cross Posting Activity», en analysant le modèle de publication des utilisateurs professionnels de mêmes informations sur trois grands ONS à savoir Facebook, Google+ et Twitter. - "Les stratégies des utilisateurs professionnels dans les ONS", où nous étudions la stratégie globale d'utilisateurs professionnels par secteur (par exemple, les entreprises de voitures, l'habillement, politiques, etc.) sur Facebook, Google+ et Twitter. Les résultats de cette thèse fournissent une vision d'ensemble pour comprendre certains aspects comportementaux importants de différents types d'utilisateurs des services Internet populaires et ces contributions peuvent être utilisées dans divers domaines (par exemple analyse de campagne marketing et publicité, etc.) et les différentes parties peuvent bénéficier des résultats et des méthodologies mises en œuvre telles que les FAI et les propriétaires des services pour leur planification ou l'expansion des services actuels à venir, ainsi que les professionnels pour accroître leur succès sur les médias sociauxPopular Internet services are fundamentally shaping and reshaping traditional ways of people communication, thus having a major impact on their social life. Two of the very popular Internet services with this characteristic are Online Social Networks (OSNs) and Peer-to-Peer (P2P) systems. OSNs provide a virtual environment where people can share their information and interests as well as being in contact with other people. On the other hand, P2P systems, which are still one of the popular services with a large proportion of the whole Internet traffic, provide a golden opportunity for their customers to share different type of content including copyrighted content. Apart from the huge popularity of OSNs and P2P systems among regular users, they are being intensively used by professional players (big companies, politician, athletes, celebrities in case of OSNs and professional content publishers in case of P2P) in order to interact with people for different purposes (marketing campaigns, customer feedback, public reputation improvement, etc.). In this thesis, we characterize the behavior of regular and professional users in the two mentioned popular services (OSNs and P2P systems) in terms of publishing strategies, content consumption and behavioral analysis. To this end, five of our conducted studies are presented in this manuscript as follows: - “The evolution of multimedia contents", which presents a thorough analysis on the evolution of multimedia content available in BitTorrent by focusing on four relevant metrics across different content categories: content availability, content popularity, content size and user's feedback. - “The reaction of professional users to antipiracy actions", by examining the impact of two major antipiracy actions, the closure of Megaupload and the implementation of the French antipiracy law (HADOPI), on professional publishers behavior in the largest BitTorrent portal who are major providers of online copyrighted content. - “The amount of disclosed information on Facebook", by investigating the public exposure of Facebook users' profile attributes in a large dataset including half million regular users. - “Professional users Cross Posting Activity", by analyzing the publishing pattern of professional users which includes same information over three major OSNs namely Facebook, Google+ and Twitter. - “Professional Users' Strategies in OSNs", where we investigate the global strategy of professional users by sector (e.g., Cars companies, Clothing companies, Politician, etc.) over Facebook, Google+ and Twitter. The outcomes of this thesis provide an overall vision to understand some important behavioral aspects of different types of users on popular Internet services and these contributions can be used in various domains (e.g. marketing analysis and advertising campaign, etc.) and different parties can benefit from the results and the implemented methodologies such as ISPs and owners of the Services for their future planning or expansion of the current services as well as professional players to increase their success on social media
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Berrios-Ayala, Mark. "Brave New World Reloaded: Advocating for Basic Constitutional Search Protections to Apply to Cell Phones from Eavesdropping and Tracking by Government and Corporate Entities." Honors in the Major Thesis, University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/1547.
Full textAbstract:
Imagine a world where someone’s personal information is constantly compromised, where federal government entities AKA Big Brother always knows what anyone is Googling, who an individual is texting, and their emoticons on Twitter. Government entities have been doing this for years; they never cared if they were breaking the law or their moral compass of
human dignity. Every day the Federal government blatantly siphons data with programs from the original ECHELON to the new series like PRISM and Xkeyscore so they can keep their tabs on issues that are none of their business; namely, the personal lives of millions. Our allies are taking note; some are learning our bad habits, from Government Communications Headquarters’ (GCHQ) mass shadowing sharing plan to America’s Russian inspiration, SORM. Some countries are following the United States’ poster child pose of a Brave New World like order of global events. Others like Germany are showing their resolve in their disdain for the rise of tyranny. Soon, these new found surveillance troubles will test the resolve of the American Constitution and its nation’s strong love and tradition of liberty. Courts are currently at work to resolve how current concepts of liberty and privacy apply to the current conditions facing the privacy of society. It remains to be determined how liberty will be affected as well; liberty for the United States of America, for the European Union, the Russian Federation and for the people of the World in regards to the extent of privacy in today’s blurred privacy expectations.B.S.
Bachelors
Health and Public Affairs
Legal Studies
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Alsahli, Mohammad Saad. "Customer Engagement Behaviour: A Case Study of Antecedents, Outcomes and the Moderating Role of Susceptibility to Informational Influences in Saudi Arabia’s on Twittersphere." Thesis, 2021. https://vuir.vu.edu.au/43945/.
Full textAbstract:
Customer engagement behaviour (CEB), which is a customer’s behavioural
manifestation towards a brand beyond a purchase resulting from motivational drivers (van
Doorn et al., 2010), has evolved with the advent of social media. CEB with brands is
facilitated through social media in real time using a variety of methods, such as word of
mouth activities, commenting and sharing in an online context. As many customers now
depend on their social media for information about brands, CEB on social media platform
has important consequences for brands, including the potential to enhance customerbrand relationships (Gómez et al., 2019; Hollebeek, 2011a). Nonetheless, there is limited
knowledge regarding the concept of CEB within the context of social media platforms
and brands lack enough knowledge and understanding of CEB to properly measure it and
manage its drivers towards beneficial brand outcomes (e.g., Touni et al., 2020; Hamzah
et al., 2021).
This thesis aims to investigate the concept of CEB with brands in the social media
platforms, with a focus on the Twitter platform, and to identify its antecedents and
outcomes. This thesis proposed and tested a model that (a) conceptualises and measures
CEB with the brand on Twitter; (b) tests the effects of tie strength, homophily and trust
in driving CEB with the brand on Twitter; (c) tests for the moderating role of
susceptibility to informational influences on the link between CEB and its antecedents;
and (d) tests the impact of CEB on customer–brand relationships including brand trust,
brand commitment and brand loyalty.
Saudi Arabia and the Twitter platform were chosen as the contexts of the current
study. Saudi Arabia is viewed as a lucrative customer market for a wide range of local
and global brands (Abalkhail, 2018) and Twitter is one of the country’s most popular social media platforms (Statista, 2021). Furthermore, Saudi Arabia has surpassed other
nations in social media usage, with an exponential annual growth rate of 8% (Kemp,
2021b).
Quantitative research employing an online survey was conducted to collect data
to examine the proposed model. Using the snowball sampling technique to recruit Saudi
Arabians with Twitter accounts to participate in the research, a sample size of 400 was
obtained. Exploratory and confirmatory factor analysis were used to confirm the factorial
stability and multidimensionality of the proposed factors, followed by Structural Equation
Modeling to confirm the structural model and test the hypothesised relationships among
the key variables in the model.
The thesis theoretically and practically contributes to the literature of CEB
regarding the social media context and enhances our understanding of the concept.
Theoretically, the study provides conceptualisation and measurement of CEB on Twitter
and identifies its key antecedents and relational outcomes. First, the findings validate the
conceptualisation and operationalisation of CEB on Twitter as three dimensions—
learning, sharing and endorsing. Second, they provide evidence regarding the role of trust
in driving CEB with a brand on Twitter. Third, the findings provide support for the impact
of CEB on enhancing positive brand-related behavioural outcomes on Twitter and offer
evidence regarding the role that susceptibility to informational influence may have in
strengthening the relationship between engagement behaviours and their antecedents.
Practically, the proposed model enhances marketers’ understanding of CEB on Twitter
and thus encourages the development of stronger consumer engagement strategies on
Twitter.
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Nkwe, Nugi. "Risks and motivation in the use of social network sites: an empirical study of university students." Thesis, 2016. http://hdl.handle.net/10539/22124.
Full textAbstract:
DISSERTATION SUBMITTED IN FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF COMMERCE IN INFORMATION SYSTEMS
TO THE
FACULTY OF COMMERCE, LAW AND MANAGEMENT
UNIVERSITY OF THE WITWATERSRAND, JOHANNESBURG
FEBRUARY 2015Social Network Sites (SNS) such as Facebook, Instagram, Twitter, Piniterest and Google+ have made it easy for youth to communicate, produce and share information. Using SNS has become a daily activity for many youth and young adults around the world, including South Africa. The use of SNS by youth may be motivated by needs for safety, belonging, self-esteem and self-actualization, and others such as enjoyment. Yet, the use of SNS by youth may also carry a number of risks. They include risks to violations of privacy, social and psychological risks that may harm the user’s self-image, as well as time and financial risks resulting from excessive SNS usage. The purpose of this study is to understand the tension between risks and motivation in the use of SNS by university students. To do so, this study developed an extended Technology Acceptance Model (TAM). Multi-dimensional risk and motivation constructs were examined for their interactions with TAM constructs of perceived ease of use and perceive usefulness and their effects on SNS usage intentions and actual usage were examined. To test the model, a non-probability convenience sampling method was adopted using students from the University of the Witwatersrand, Johannesburg. Five hundred and fifteen students participated in the study. The ages ranged between 18 and 34 years, 26% males and 74% females took part in the study, and included students from 1st year through to 4th year undergraduate or Honours level. Facebook was found to be the most used SNS. Approximately 80% of respondents reported accessing SNS on their mobile phones and 66% reported being always connected. More than 25% of respondents were actively using SNS for more than 3 hours a day, with 35% using less than one hour per day. Interestingly, only 35% reported having public profiles although 10% did not know whether their profiles were public or private, and nearly 40% of respondents knew less than half the “friends” they were connected to on SNS Partial least squares approach to structured equation modelling was used to test the hypothesised research model. Results showed that motivation influences perceived usefulness (β=0.239, p<0.001) and perceived ease of use (β=0.319, p<0.001) positively. The results suggest that when motivations such as enjoyment and need to belong are high, SNS will be perceived as useful and easy to use. Risk was found to have a negative influence on perceived usefulness (β=-0.0764, p<0.05) and perceived ease of use (β=-0.3265, p<0.001). The results show that when risks are considered high, users are likely to increase their vigilance and consequently will report SNS as less easy to use. Moreover, as a result of risk users may find the SNS less useful. Perceived usefulness (β=0.295, p<0.001) influences intention to use SNS positively. This suggests that when SNS is useful to users, they will have intentions to use it. Intention to use SNS is also influenced by perceived ease of use (β=0.0396, p<0.01). An easy to use SNS will make users want to use it, as opposed to one considered more complex and requiring more effort. Motivation (β=0.281, p<0.001) was found to have more of an effect than risk (β=-0.071, p<0.05) on intentions to use. Respondents thus appear to recognize some risks associated with SNS use, but they appear to be driven more by motivations and less by risk avoidance when deciding on SNS usage. The study will have implications for researchers, SNS providers and users. The results of the study have implications for how researchers conceptualize risk and motivation. The study shows how different dimensions of risk and dimensions of motivation affect the overall risk and overall motivation construct respectively. Currently SNS providers may not have deep understanding of the risks which hinder the use of SNS and motivations which drive the use of SNS. Providers will be better informed to design SNS that are less risky and where possible mitigate the risks. Results also show that SNS providers should not only mitigate risks but also provide online social networks that better fulfil motivational needs of youth. Users will be aware of different risks they are exposing themselves to by using SNS. Since users will be aware of the different types of risks, they can be vigilante when using SNS.
MT2017
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Mangaonkar, Amrita. "Collaborative detection of cyberbullying behavior in Twitter data." Thesis, 2017. https://doi.org/10.7912/C2FD2C.
Full textAbstract:
Indiana University-Purdue University Indianapolis (IUPUI)As the size of Twitter© data is increasing, so are undesirable behaviors of its users. One such undesirable behavior is cyberbullying, which could lead to catastrophic consequences. Hence, it is critical to efficiently detect cyberbullying behavior by analyzing tweets, in real-time if possible. Prevalent approaches to identifying cyberbullying are mainly stand-alone, and thus, are time-consuming. This thesis proposes a new approach called distributed-collaborative approach for cyberbullying detection. It contains a network of detection nodes, each of which is independent and capable of classifying tweets it receives. These detection nodes collaborate with each other in case they need help in classifying a given tweet. The study empirically evaluates various collaborative patterns, and it assesses the performance of each pattern in detail. Results indicate an improvement in recall and precision of the detection mechanism over the stand- alone paradigm. Further, this research analyzes scalability of the approach by increasing the number of nodes in the network. The empirical results obtained from experimentation show that the system is scalable. The study performed also incorporates the experiments that analyze behavior distributed-collaborative approach in case of failures in the system. Additionally, the proposed thesis tests this approach on a different domain, such as politics, to explore the possibility of the generalization of results.
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Weatherburne, Nicole, and 妮. 可. "A Method for Exploring Bipolar Disorder Behaviours on Twitter." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/4uq35n.
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"Sarcasm Detection on Twitter: A Behavioral Modeling Approach." Master's thesis, 2014. http://hdl.handle.net/2286/R.I.26799.
Full textAbstract:
abstract: Sarcasm is a nuanced form of language where usually, the speaker explicitly states the opposite of what is implied. Imbued with intentional ambiguity and subtlety, detecting sarcasm is a difficult task, even for humans. Current works approach this challenging problem primarily from a linguistic perspective, focusing on the lexical and syntactic aspects of sarcasm. In this thesis, I explore the possibility of using behavior traits intrinsic to users of sarcasm to detect sarcastic tweets. First, I theorize the core forms of sarcasm using findings from the psychological and behavioral sciences, and some observations on Twitter users. Then, I develop computational features to model the manifestations of these forms of sarcasm using the user's profile information and tweets. Finally, I combine these features to train a supervised learning model to detect sarcastic tweets. I perform experiments to extensively evaluate the proposed behavior modeling approach and compare with the state-of-the-art.Dissertation/Thesis
Masters Thesis Computer Science 2014
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Rangnani, Soniya. "Retweet Profiling - Study Dissemination of Twitter Messages." Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2668.
Full textAbstract:
Social media has become an important means of everyday communication. It is a mechanism for “sharing” and “resharing” of information. While social network platforms provide the means to users for resharing/reblogging (aka retweeting), it remains unclear what motivates users to share. Predicting the spread of content is quite important for several purposes such as viral marketing, popular news detection, personalized message recommendation and on-line advertisement. Social content systems store all the information produced in the interactions between users. However, to turn this data into information that allows us to extract patterns, it is important to consider the different phenomena involved in these interactions. In this work, two phenomena that influence the evolution of networks are studied for Twitter: diffusion of information and communication among users.
Previous studies have shown that history of interaction among users and properties of the message are good attributes to understand the retweet behavior of users. Factors like content of message and time are less investigated. We propose a prediction model for retweet actions of users. It formulates a function which ranks the users according to how receptive they are to a particular message. The function generates a confidence score for the edges joining the initiator of the message and the followers. Two different pieces of information propagate through different users in the network. We divide the task of calculating confidence score into two parts. The first part is independent of the test tweet. It models transmission rate of the tie between the initiator and the follower. We call this as ‘Pairwise Influence Estimation’. The second part incorporates the tweet properties and user activeness as per time in the ranking function. The proposed model exploits all the dimensions of information dif-fusion process-influence, content and temporal properties. We have captured local aspects of diffusion.
It has been observed that users do not read all the messages on their site. This results in shortcomings in the above models. Considering this, we first study the temporal behavior of users’ activities, which directly reflects their availability pertaining to the upcoming post. Also, as it is a continuous task of predicting retweet behavior, we design a user-centric, and temporally localized incremental classification model by considering the fact that users do not read all their tweets. We have tested the effectiveness of this model by using real data from Twitter. We demonstrate that the new proposed model is more accurate in describing the information propagation in microblog compared to the existing methods. Our model works well when we consider different classes of users depending on their activity patterns. In addition, we also investigate the parameters of the model for different classes of users. We report some interesting distinguishing patterns in retweeting behavior of users.