Дисертації з теми "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.
Повний текст джерелаDahlqvist, 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.
Повний текст джерелаAlghamdi, 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.
Повний текст джерелаAlmuhanna, 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/.
Повний текст джерелаGaillard, Béatrice. "Optimisation des stratégies de communication durant les épidémies d'arboviroses." Thesis, Montpellier 3, 2019. http://www.theses.fr/2019MON30096.
Повний текст джерелаThe 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
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.
Повний текст джерелаTran, Hung Viet. "Discovering entities' behavior through mining Twitter." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3545.
Повний текст джерелаNilsson, 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.
Повний текст джерелаJeri-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.
Повний текст джерелаBackground: 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
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.
Повний текст джерелаSocial 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.
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.
Повний текст джерелаGiven 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.
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/.
Повний текст джерелаComunidades 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.
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.
Повний текст джерелаApproved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-10-20T10:12:26Z (GMT) No. of bitstreams: 2 Dissertação - João Batista Pereira Matos Júnior - 2017.pdf: 8366739 bytes, checksum: 13cc5b776da9444f310561caaa0e86d4 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)
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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.
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.
Повний текст джерелаUnder 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.
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.
Повний текст джерелаRamacciotti, Fernando Martinelli. "The role of Twitter in the U.S. financial market." reponame:Repositório Institucional do FGV, 2018. http://hdl.handle.net/10438/24591.
Повний текст джерелаRejected by Thais Oliveira (thais.oliveira@fgv.br), reason: Boa tarde, Fernando! Para que possamos aprovar seu trabalho, serão necessárias as seguintes alterações: - A Data da Aprovação (página da Banca Examinadora), deve estar em branco. - As listas de figuras, tabelas, gráficos, etc, devem estar antes do sumário. Por gentileza, alterar e submeter novamente. Qualquer dúvida, entre em contato. Thais Oliveira mestradoprofissional@fgv.br/ 3799-7764 on 2018-08-20T20:37:30Z (GMT)
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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.
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.
Повний текст джерелаTiivistelmä 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
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.
Повний текст джерелаGadek, Guillaume. "Détection d'opinions, d'acteurs-clés et de communautés thématiques dans les médias sociaux." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR18/document.
Повний текст джерелаOnline 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
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.
Повний текст джерелаGarcía-Gavilanes, Ruth Olimpia. "User behavior in microblogs with a cultural emphasis." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/287974.
Повний текст джерелаEl 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.
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.
Повний текст джерелаPinheiro, 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.
Повний текст джерелаCoordenação 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.
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.
Повний текст джерелаRizzuti, Noel T. "The power of politics: selective exposure and social identity cues." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/17648.
Повний текст джерелаDepartment 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.
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.
Повний текст джерелаZeigler, Bernard P. "Contrasting emergence: In systems of systems and in social networks." SAGE PUBLICATIONS INC, 2017. http://hdl.handle.net/10150/621270.
Повний текст джерелаMiah, 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.
Повний текст джерелаMargaretten, 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/.
Повний текст джерелаBelden, Megan. "Trumping The Norm: Political Influence Of Negative Emotion In The 2016 Election." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/scripps_theses/1126.
Повний текст джерелаGraells-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.
Повний текст джерелаFarahbakhsh, 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.
Повний текст джерелаPopular 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
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.
Повний текст джерелаB.S.
Bachelors
Health and Public Affairs
Legal Studies
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/.
Повний текст джерелаNkwe, 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.
Повний текст джерелаSocial 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
Mangaonkar, Amrita. "Collaborative detection of cyberbullying behavior in Twitter data." Thesis, 2017. https://doi.org/10.7912/C2FD2C.
Повний текст джерелаAs 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.
Weatherburne, Nicole, and 妮. 可. "A Method for Exploring Bipolar Disorder Behaviours on Twitter." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/4uq35n.
Повний текст джерела"Sarcasm Detection on Twitter: A Behavioral Modeling Approach." Master's thesis, 2014. http://hdl.handle.net/2286/R.I.26799.
Повний текст джерелаDissertation/Thesis
Masters Thesis Computer Science 2014
Rangnani, Soniya. "Retweet Profiling - Study Dissemination of Twitter Messages." Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2668.
Повний текст джерела