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Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "News diffusion in social media"

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Kim, Minkyoung, Lexing Xie, and Peter Christen. "Event Diffusion Patterns in Social Media." Proceedings of the International AAAI Conference on Web and Social Media 6, no. 1 (August 3, 2021): 178–85. http://dx.doi.org/10.1609/icwsm.v6i1.14248.

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Анотація:
This study focuses on real-world events and their reflections on the continuous stream of online discussions. Studying event diffusion on social media is important, as this will tell us how a significant event (such as a natural disaster) spreads and evolves interacting with other events, and who has helped spreading the event. Tracking an ever-changing list of often unanticipated events is difficult, and most prior work has focused on specific event derivatives such as quotes or user-generated tags. In this paper, we propose a method for identifying real-world events on social media, and present observations about event diffusion patterns across diverse media types such as news, blogs, and social networking sites. We first construct an event registry based on the Wikipedia portal of global news events, and we represent each real-world event with entities that embody the 5W1H (e.g., organization, person name, place) used in news coverage. We then label each web document with the list of identified events based on entity similarity between them. We analyze the ICWSM’11 Spinn3r dataset containing over 60 million English documents. We observe surprising connections among the 161 events it covers, and that over half (55%) of users only link to a small fraction of prolific users (4%), a notable departure from the balanced traditional bow-tie model of web content.
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Ma, Long, Chei Sian Lee, and Dion Hoe-Lian Goh. "Understanding news sharing in social media." Online Information Review 38, no. 5 (July 7, 2014): 598–615. http://dx.doi.org/10.1108/oir-10-2013-0239.

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Purpose – The purpose of this paper is to draw from the diffusion of innovations theory to explore multi-levels of influences (i.e. individuals, networks, news attributes) on news sharing in social media. Design/methodology/approach – A survey was designed and administered to 309 respondents. Structural equation modelling analysis was conducted to examine the three levels of influential factors. These included self-perceptions of opinion leadership and seeking at the individual level, perceived tie strength and homophily at the network level, and finally, perceived news credibility and news preference at the news attribute level. Findings – The results revealed that the influences of self-perceptions of opinion leadership, perceived tie strength in online networks and perceived preference of online news had significant effects on users’ news sharing intention in social media. However, self-perceptions of opinion seeking, homophily, and perceived news credibility were not significant. Originality/value – This is one of the first studies on news sharing in social media that focus on diverse levels of influential factors. In particular, the research suggests the viability of the diffusion of innovations theory to explain this pervasive global phenomenon. Further, the influential factors identified may help to stimulate active participation in social media platforms and ultimately enhance the sustainability of these platforms.
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Allcott, Hunt, Matthew Gentzkow, and Chuan Yu. "Trends in the diffusion of misinformation on social media." Research & Politics 6, no. 2 (April 2019): 205316801984855. http://dx.doi.org/10.1177/2053168019848554.

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In recent years, there has been widespread concern that misinformation on social media is damaging societies and democratic institutions. In response, social media platforms have announced actions to limit the spread of false content. We measure trends in the diffusion of content from 569 fake news websites and 9540 fake news stories on Facebook and Twitter between January 2015 and July 2018. User interactions with false content rose steadily on both Facebook and Twitter through the end of 2016. Since then, however, interactions with false content have fallen sharply on Facebook while continuing to rise on Twitter, with the ratio of Facebook engagements to Twitter shares decreasing by 60%. In comparison, interactions with other news, business, or culture sites have followed similar trends on both platforms. Our results suggest that the relative magnitude of the misinformation problem on Facebook has declined since its peak.
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Kim, Minkyoung, David Newth, and Peter Christen. "Modeling Dynamics of Diffusion Across Heterogeneous Social Networks: News Diffusion in Social Media." Entropy 15, no. 12 (October 8, 2013): 4215–42. http://dx.doi.org/10.3390/e15104215.

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Ahmed, Wasim, and Sergej Lugovic. "Social media analytics: analysis and visualisation of news diffusion using NodeXL." Online Information Review 43, no. 1 (February 11, 2019): 149–60. http://dx.doi.org/10.1108/oir-03-2018-0093.

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Purpose The purpose of this paper is to provide an overview of NodeXL in the context of news diffusion. Journalists often include a social media dimension in their stories but lack the tools to get digital photos of the virtual crowds about which they write. NodeXL is an easy to use tool for collecting, analysing, visualising and reporting on the patterns found in collections of connections in streams of social media. With a network map patterns emerge that highlight key people, groups, divisions and bridges, themes and related resources. Design/methodology/approach This study conducts a literature review of previous empirical work which has utilised NodeXL and highlights the potential of NodeXL to provide network insights of virtual crowds during emerging news events. It then develops a number of guidelines which can be utilised by news media teams to measure and map information diffusion during emerging news events. Findings One emergent software application known as NodeXL has allowed journalists to take “group photos” of the connections among a group of users on social media. It was found that a diverse range of disciplines utilise NodeXL in academic research. Furthermore, based on the features of NodeXL, a number of guidelines were developed which provide insight into how to measure and map emerging news events on Twitter. Social implications With a set of social media network images a journalist can cover a set of social media content streams and quickly grasp “situational awareness” of the shape of the crowd. Since social media popular support is often cited but not documented, NodeXL social media network maps can help journalists quickly document the social landscape utilising an innovative approach. Originality/value This is the first empirical study to review literature on NodeXL, and to provide insight into the value of network visualisations and analytics for the news media domain. Moreover, it is the first empirical study to develop guidelines that will act as a valuable resource for newsrooms looking to acquire insight into emerging news events from the stream of social media posts. In the era of fake news and automated accounts, i.e., bots the ability to highlight opinion leaders and ascertain their allegiances will be of importance in today’s news climate.
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Provaznik, Daniel, and Jillian Wisniewski. "Modeling Diffusion of Information in an Increasingly Complex Digital Domain." Industrial and Systems Engineering Review 6, no. 2 (March 7, 2019): 126–34. http://dx.doi.org/10.37266/iser.2018v6i2.pp126-134.

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Offering entertainment, discussion, and information, social media provides users with a stimulating online experience. Within the last five years, it has also become an increasingly popular medium for the consumption of news. News outlets publish articles and reports through social media, and by doing so influence their users in a way that corresponds with the outlet’s political leaning. Because social media outlets provide users with tailored content, the prevalence of biased news reporting reinforces the user’s political values and polarizes their beliefs. This thesis attempts to examine the relationships that give rise to this political polarization in social media and discusses possible opportunities to mitigate it.
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Sharma, Karishma, Xinran He, Sungyong Seo, and Yan Liu. "Network Inference from a Mixture of Diffusion Models for Fake News Mitigation." Proceedings of the International AAAI Conference on Web and Social Media 15 (May 22, 2021): 668–79. http://dx.doi.org/10.1609/icwsm.v15i1.18093.

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The dissemination of fake news intended to deceive people, influence public opinion and manipulate social outcomes, has become a pressing problem on social media. Moreover, information sharing on social media facilitates diffusion of viral information cascades. In this work, we focus on understanding and leveraging diffusion dynamics of false and legitimate contents in order to facilitate network interventions for fake news mitigation. We analyze real-world Twitter datasets comprising fake and true news cascades, to understand differences in diffusion dynamics and user behaviours with regards to fake and true contents. Based on the analysis, we model the diffusion as a mixture of Independent Cascade models (MIC) with parameters \theta_T , \theta_F over the social network graph; and derive unsupervised inference techniques for parameter estimation of the diffusion mixture model from observed, unlabeled cascades. Users influential in the propagation of true and fake contents are identified using the inferred diffusion dynamics. Characteristics of the identified influential users reveal positive correlation between influential users identified for fake news and their relative appearance in fake news cascades. Identified influential users tend to be related to topics of more viral information cascades than less viral ones; and identified fake news influential users have relatively fewer counts of direct followers, compared to the true news influential users. Intervention analysis on nodes and edges demonstrates capacity of the inferred diffusion dynamics in supporting network interventions for mitigation.
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Khan, Shakeel Ahmad, Khurram Shahzad, Omer Shabbir, and Abid Iqbal. "Developing a Framework for Fake News Diffusion Control (FNDC) on Digital Media (DM): A Systematic Review 2010–2022." Sustainability 14, no. 22 (November 17, 2022): 15287. http://dx.doi.org/10.3390/su142215287.

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This study sought to investigate factors causing the spread of fake news on digital media (DM) and to explore the sometimes disastrous consequences of fake news on social media. The study also aimed to construct a framework for fake news disaster management to control the dangers of false news on DM. The study applied PRISMA guidelines and techniques for exploring, devising, and inclusion and exclusion criteria. The search was carried out through 15 of the world’s leading digital databases. As a result, 31 peer-reviewed studies published in impact-factor journals of leading databases were included. Findings showed that several factors influenced the sharing of fake news on digital media (DM) platforms. Six major trending factors were the rise of technologies, social connections, political reasons, the absence of a controlling center, online business and marketing, and quick dissemination of information. The study identified the disadvantages of fake news (FN) on digital media (DM). A framework was constructed for managing fake news disasters to control the spread of fake news on digital media. This paper offers important theoretical contributions through the development of a framework for controlling fake news spread on digital media and by providing a valuable addition to the existing body of knowledge. The study offers practical assistance to top management, decision makers, and policymakers to devise policies to effectively manage problems caused by fake news dissemination. It provides practical strategies to address fake news disasters on digital media for redefining social values. This research also assists digital media managers in utilizing the proposed framework and controlling the harmful impact of fake news on social media.
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Huang, Haifeng, Serra Boranbay-Akan, and Ling Huang. "Media, Protest Diffusion, and Authoritarian Resilience." Political Science Research and Methods 7, no. 1 (June 13, 2016): 23–42. http://dx.doi.org/10.1017/psrm.2016.25.

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Do authoritarian governments always censor news about protests to prevent unrest from spreading? Existing research on authoritarian politics stresses the danger that information spread within the society poses for a regime. In particular, media and Internet reports of social unrest are deemed to threaten authoritarian rule, as such reports may incite more protests and thus spread instability. We show that such reasoning is incomplete if social protests are targeted at local officials. Allowing media the freedom to report local protests may indeed lead to protest diffusion, but the increased probability of citizen protest also has two potential benefits for the regime: (1) identifying and addressing more social grievances, thus releasing potential revolutionary pressure on the regime; (2) forcing local officials to reduce misbehavior, thus reducing underlying social grievances. For authoritarian governments whose survival is vulnerable to citizen grievances, allowing the media to report social protests aimed at local governments can therefore enhance regime stability and protect its interests under many circumstances. We construct a game-theoretic model to analyze the problem and illustrate the argument with examples from China.
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Ravenelle, Alexandrea J., Abigail Newell, and Ken Cai Kowalski. "“The Looming, Crazy Stalker Coronavirus”: Fear Mongering, Fake News, and the Diffusion of Distrust." Socius: Sociological Research for a Dynamic World 7 (January 2021): 237802312110247. http://dx.doi.org/10.1177/23780231211024776.

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The authors explore media distrust among a sample of precarious and gig workers interviewed during the COVID-19 pandemic. Although these left-leaning respondents initially increased their media consumption at the outset of the pandemic, they soon complained of media sensationalism and repurposed a readily available cultural tool: claims of “fake news.” As a result, these unsettled times have resulted in a “diffusion of distrust,” in which an elite conservative discourse of skepticism toward the media has also become a popular form of compensatory control among self-identified liberals. Perceiving “fake news” and media sensationalism as “not good” for their mental health, respondents also reported experiencing media burnout and withdrawing from media consumption. As the pandemic passes its one-year anniversary, this research has implications for long-term media coverage on COVID-19 and ongoing media trust and consumption.
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Дисертації з теми "News diffusion in social media"

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Boettcher, Guilherme Bertini. "Visualization of news and press information diffusion in social media." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/134608.

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As mídias sociais tiveram grande impacto no processo de inovação de jornais e revistas, porém adaptar-se em momentos de recessão ocasionou uma evolução apressada e procedimentos automatizados para mídias essencialmente diferentes. Apesar de haver estudos e soluções estado-da-arte em visualização para midias sociais dedicadas à análise do conteúdo e do comportamento de usuários, nenhum método é otimizado (e especializado) para encontrar padrões do ponto de vista de popularidade no contexto de canais de notícias. Nesta dissertação, discutimos duas diferentes propostas de utilização de combinações de técnicas de visualização que correlacionam as atividades de perfis e de sua comunidade de leitores com a popularidade resultante. Dados foram coletados reunindo postagens no Twitter, o número de seguidores dos perfis de interesse e os tópicos em tendência (trending topics) de canais da imprensa mundial para formar o conjunto de dados base para as propostas aqui apresentadas. Este conjunto de dados foi utilizado como semente para visualizações destinadas a possibilitar a comparação de múltiplas fontes, de forma que os usuários sejam habilitados a entender sua própria comunidade e também os sucessos e derrotas enfrentados pelos perfis competidores no mesmo meio. Essa análise foi validada através de entrevistas com um grupo de jornalistas de diferentes jornais estabelecidos. Através da interação com o sistema, é possível detectar padrões desconhecidos no grande volume de dados de mensagens e comentários de todo o mundo, possibilitando ao usuário uma visão única sobre os comportamentos e preferências de sua comunidade.
Social media has played a big part in the innovation process for newspapers and magazines, but adapting while going through a recession has led to a hasty evolution and automated processes for very different media. While existing social media studies and state-of-the-art visual solutions are available for analyzing social media content and users’ behaviors, no other method is optimized for finding patterns from a popularity standpoint in the specialized realm of news channels. In this dissertation, we discuss two different usages of a combination of different visualization techniques that co-relate profiles’ and their reading community activities with the resulting popularity. We gathered Twitter posts, the number of followers and trending topics from worldwide press profiles as the data set foundation for our proposal. We used this data set as the seed for our visualizations to allow for multiple source comparison, so that not only the user is able to understand their own community but also the success and pitfalls faced by the competition in the same medium. We validate our analysis by interviewing a group of journalists from different established newspapers. Through interacting with our system, it was possible to detect hidden patterns in the massive dataset of messages and comments worldwide, enabling the users to have unique insights into their community’s behaviors and preferences.
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Monk, Adam Joel. "The Diffusion of New Music through Online Social Networks." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337902485.

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Vos, Sarah. "USING SOCIAL NETWORKING SITES DURING PUBLIC HEALTH CRISES: THEORIZING THE DIFFUSION OF EFFECTIVE MESSAGES." UKnowledge, 2016. http://uknowledge.uky.edu/comm_etds/45.

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During a public health crisis, officials need to communicate with the public quickly and accurately. Social networking sites (SNS) have been identified as an appropriate channel for this type of communication; however, few studies have examined what makes SNS messages effective. Further limiting research in this area is a lack of attention to theoretical constructs that may explain message effectiveness in SNS. In this dissertation, I propose that diffusion of innovations (DOI) be used to understand SNS and message success on SNS. In doing so, I compare traditional message success (persuasion) to message success on SNS platforms (amplification) and provide a brief overview of relevant message design constructs. I then conduct a study to analyze Twitter messages from state and local health departments and federal government agencies charged with communicating to the public during a public health crisis to test these theoretical claims and identify message elements that increase SNS message amplification. The context of the study is the fall 2014 Ebola crisis in the United States. The messages are first classified using content analysis methods to identify message design elements related to content, structure, and style. The success of those elements, in terms of the influence they have on messages amplification, is then evaluated using negative binomial regression. The results suggest that specific content (hazard information, response instruction, and official action), effective structure (word and image graphics), and key style choices (using figurative language, one hashtag or a keyword hashtag, and the first person) improve the amplification value of a message. Other choices, like mentioning another user, reduce the amplification value. These findings add to the evidence that suggests that DOI enhances scholars’ understanding of communication on SNS. In addition, the results demonstrate that messages can be conceptualized as innovations, and, as such, their characteristics influence the likelihood that they will be diffused through SNS platforms. The results suggest that those charged with communicating during a public health crisis use specific message strategies for SNS messages. These strategies include recommendations related to message content, message structure, and message style. Finally, the results suggest that scholars should continue research to understand the relationship between message design and message amplification in order to improve our knowledge of communication on SNS and help practitioners identify effective communication practices on this new and important channel. Research should also examine the relationship between persuasion and amplification in order to understand how amplification influences attitudes, behavioral intentions, and behavior in both those who amplify the message and in those who receive the message as a result of that amplification.
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4

Dozza, Davide. "La responsabilità dei social network nella diffusione della disinformazione online." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24973/.

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L'elaborato vuole essere una lente di ingrandimento sulla responsabilità delle piattaforme social, in particolare Facebook e Twitter, nel propagare e diffondere disinformazione. Prima di vedere da vicino il ruolo dei social network, viene effettuata una panoramica sulla normative vigenti che disciplinano questi networks. Etichettati dalle regolamentazioni come Internet Service Provider, viene analizzato il loro fittizio ruolo neutrale online e le loro responsabilità nel momento in cui un utente carica all’interno di questi informazioni illecite, distinguendo la legislazione europeo con quella statunitense. Per comprendere dove nasce il problema della disinformazione online vengono poi presi in esame una serie di casi dove la propagazione di informazioni illecite a contribuito alla modifica delle percezione della realtà da parte degli utenti di queste piattaforme. Viene poi fatta un’analisi più profonda sul ruolo dei Social Network nella diffusione di notizie riguardanti il Covid-19, e partendo da questo, viene visionato uno studio su come combatterne la propagazione. Studio che se applicato, potrebbe essere espanso per diminuire in generale tutte le fake news e i discorsi d’odio, senza però limitare la libertà di parola degli utenti. In conclusione, si evince come ad oggi ci si affidi sostanzialmente ad una auto regolamentazione da parte di queste piattaforme, non essendo le normative aggiornate ed in grado di compiere atti decisi nei loro confronti. Ad ogni caso, qualsiasi sia la fonte della disinformazione, online o offline, questa va affrontata non solo con le regolamentazioni, ma sopratutto attraverso politiche volte all’educazione e responsabilizzazione dei cittadini, nonché con un’azione tesa ad alimentare il pluralismo informativo.
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5

Cyriac, Jacob. "SOCIAL NEWS : CROWD-SOURCED NEWS FROM SOCIAL TRENDS." Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-110632.

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During the last decade, social media has had a great impact on the way we communicate. It has also expanded our awareness of the world.! However it has become harder for the lay person to find news, because of too many conflicting interests in the mass media industry on one hand, and simply too much free information available on the other! This report documents my study of how social media has affected the way we collect, consume and share news. I describe how democratization of information has made some things easy, but some other things hard - filtering data to find meaningful content has become harder! My studies were targeted mainly at people younger than 30, and mainly in India, and much of its design is informed by problems characteristic to the Indian context. So while I do not explicitly target my end result at the Indian market, a news network by its very nature needs to be global, and this process reflects that.! I go on to use Design Methods including Brainstorming, Participatory Workshops and Service Design theory to arrive at a product that aims to provide people a way to stay up to date with meaningful and relevant news. ! I propose a social network for individuals to exchange news with each other. I try to understand what makes some pieces of information more important than others, and how a network can self filter information so that participants can get high quality content.! In the final result, I describe the framework of this network and how people would contribute to it and consume from it.
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Zhao, Michael (Michael F. ). "Social media sharing and online news consumption." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120201.

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Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 59-62).
The ever increasing ubiquity of social media platforms has led to the emergence of an incredibly important positive feedback loop between social media sharing and online content consumption. The potential of this feedback loop is critical to marketers, publishers, politicians, and beyond. However, identifying causal effects in this context is very difficult. The data requirements are quite demanding, calling for data from both social media platforms and content producers. In addition, feedback loops inherently suffer simultaneous equation bias. Using regional rainfall as a natural experiment, we use a novel panel-IV strategy to identify positive and significant cross-region "peer effects" in online news viewership: a 1% increase in within-region viewership causes external viewership to increase by approximately 0.06%. Moreover, evidence suggests that social network sharing is a primary driver of these peer effects. We find that the peer effect is stronger on viewership referred from social network sources compared to viewership referred from search engines. Beyond this, we find that social network connectivity moderates the strength of this peer effect: "strongly-connected" regions exhibit more positive and significant peer effects relative to more "weakly-connected" ones. Our provides a first step in understanding how social media platforms generate value for online content producers.
by Michael Zhao.
S.M. in Management Research
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Opermann, Signe. "Generational Use of News Media in Estonia : Media Access, Spatial Orientations and Discursive Characteristics of the News Media." Doctoral thesis, Södertörns högskola, Medie- och kommunikationsvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-24631.

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Contemporary media research highlights the importance of empirically analysing the relationships between media and age, changing user patterns over the life course, and generational experiences within media discourse beyond the widely hyped buzz terms such as the ‘digital natives’, ‘Google generation’, and other digitally and technologically capable generation groups. This doctoral thesis seeks to define the ‘repertoires’ of news media that different generations use to obtain topical information and create their ‘media space’. It contributes to the development of a framework within which to analyse generational features in news audiences by putting the main focus on the cultural view of generations. This perspective was first introduced by Karl Mannheim in 1928. Departing from his legacy, generations can be better conceived as social formations that are built on self-identification, rather than equally distributed cohorts. With the purpose of discussing the emergence of various ‘audiencing’ patterns from the perspectives of age, life course and generational identity, the thesis presents Estonia – a post-Soviet Baltic state – as an empirical example of a transforming society with a dynamic media landscape which is witnessing the expanding impact of new media and a shift to digitisation.The thesis is based on data from two nationally representative cross-section surveys on media use and media attitudes (conducted during the 2002-2012 period) and focus group discussions, that are used to map similarities and differences among five generation cohorts born between 1932 and 1997 with regard to the access and use of the established news media, thematic preferences and spatial orientations of media use, and discursive approach to news formats. The findings demonstrate remarkable differences between the cohorts, suggesting that they could be merged into three main groups that represent the prevailing types of relations with the news media. Yet, the study also reveals that attitudes and behaviour (including media behaviour), are not necessarily divided by year of birth, but are more and more dispersed along individualised interests and preferences.
Audiences in the Age of media Convergence: Media Generations in Estonia and Sweden
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8

Munyengeterwa, Tariro S. "The Impact of Artificial Intelligence in the Customer Journey: A Case Study of Bosch USA and Defy South Africa." Digital Commons @ East Tennessee State University, 2021. https://dc.etsu.edu/etd/3870.

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Artificial intelligence (AI) continues to gain traction and is increasingly reshaping the media and marketing communications field. While significant research has been conducted on the impact of AI in other fields, there is little empirical evidence on how AI is affecting the customer journey. The present study explored both organizations’ current use of AI tools and how customer perceptions about AI affect AI usage and adoption through the lens of diffusion of innovation theory. The research was conducted using mixed-method qualitative research. In-depth interviews and a case study content analysis were conducted to collect and analyze the data. The results suggest that consumer perceptions about AI impact levels of adoption when AI is recognized, but there appears to be cognitive dissonance regarding what constitutes AI and complicit acceptance of some of its benefits. Companies in different geographical locations have different levels of AI adoption along the diffusion of innovation stages.
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Taxidou, Io [Verfasser], and Peter Michael [Akademischer Betreuer] Fischer. "Information diffusion and provenance in social media." Freiburg : Universität, 2018. http://d-nb.info/1176408771/34.

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Price, Joan E. "Eating News: The Social Construction of Food in U.S. News Magazines, 1995-2004." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1216404152.

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Книги з теми "News diffusion in social media"

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A guide to open innovation and crowdsourcing: Expert tips and advice. London: Kogan Page, 2011.

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2

Tokinoya, Hiroshi. Nyūsu fukyū no kenkyū =: The study of news diffusion. Tōkyō: Ashi Shobō, 2006.

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Shen, Fuyuan. Social Media News and Its Impact. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003179580.

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Shu, Kai, and Huan Liu. Detecting Fake News on Social Media. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-031-01915-9.

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News and social media: Redefining journalism. New Delhi, India: New Century Publications, 2015.

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Making social work news. London: Routledge, 1994.

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7

Ian, Marshall. Media realities: The news media and power in Australian society. South Melbourne, Australia: Longman, 1996.

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8

Alwood, Edward. Straight news: Gays, lesbians, and the news media. New York: Columbia University Press, 1996.

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Law, Ian. Race in the news. Hampshire: Palgrave, 2002.

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Shu, Kai, Suhang Wang, Dongwon Lee, and Huan Liu, eds. Disinformation, Misinformation, and Fake News in Social Media. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42699-6.

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Частини книг з теми "News diffusion in social media"

1

Dixit, Gaurav, and Shristi Bose. "Trusting Social Media News: Role of Social Influence and Emotions Using EEG as a Brain Imaging Tool." In Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation, 463–74. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64861-9_41.

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Katsios, Gregorios, Ning Sa, and Tomek Strzalkowski. "Social Convos: A New Approach to Modeling Information Diffusion in Social Media." In Advances in Intelligent Systems and Computing, 25–36. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20454-9_3.

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Peñafiel, Myriam, Rosa Navarrete, Maritzol Tenemaza, Maria Vásquez, Diego Vásquez, and Sergio Luján-Mora. "The Diffusion of News Applying Sentiment Analysis and Impact on Human Behavior Through Social Media." In Advances in Intelligent Systems and Computing, 250–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20454-9_25.

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Sparling, Heather. "News and Social Media." In Disaster Songs as Intangible Memorials in Atlantic Canada, 163–75. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003218494-8.

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Papper, Robert A. "Social Media and News." In Broadcast News and Writing Stylebook, 231–49. 7th edition. | New York : Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9780367823030-17.

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Marsh, Charles, David W. Guth, and Bonnie Poovey Short. "Social Media News Releases." In Strategic Writing, 105–8. Fourth edition. | New York : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315178035-27.

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Nip, Joyce Y. M. "Social Media Transforming News." In The Routledge Companion to Digital Journalism Studies, 511–19. London ; New York : Routledge, 2017.: Routledge, 2016. http://dx.doi.org/10.4324/9781315713793-51.

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Jukes, Stephen. "From carrier pigeons to social media." In News Agencies, 15–38. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003029656-2.

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Park, Chang Sup, and Barbara K. Kaye. "What's This? Incidental Exposure to News on Social Media, News-Finds-Me Perception, News Efficacy, and News Consumption." In Social Media News and Its Impact, 98–121. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003179580-6.

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Lyubareva, Inna, and Fabrice Rochelandet. "From News Diversity to News Quality: New Media Regulation Theoretical Issues." In Digital and Social Media Regulation, 117–41. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66759-7_6.

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Тези доповідей конференцій з теми "News diffusion in social media"

1

Kim, Minkyoung, David Newth, and Peter Christen. "Trends of news diffusion in social media based on crowd phenomena." In the 23rd International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2567948.2579325.

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Ma, Long, Chei Sian Lee, and Dion H. Goh. "Understanding News Sharing in Social Media from the Diffusion of Innovations Perspective." In 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things(iThings) and IEEE Cyber, Physical and Social Computing(CPSCom). IEEE, 2013. http://dx.doi.org/10.1109/greencom-ithings-cpscom.2013.173.

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Karian, Masoud. "Maximum diffusion of news in social media with the approach of reducing the search space." In 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE). IEEE, 2022. http://dx.doi.org/10.1109/iccke57176.2022.9960033.

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Barbosa, Carlos, Lucas Félix, Vinícius Vieira, and Carolina Xavier. "Sara - A Semi-Automatic Framework for Social Network Analysis." In XXV Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/webmedia_estendido.2019.8137.

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Анотація:
Understanding the dissemination of information in social networks has become essential for modern societies. These networks have dramatically changed the mode of communication, relationship, marketing, and access to information. Platforms such as Twitter, and WhatsApp are some representatives of these new information propagation media that represented a major shift in a model centered on traditional communication vehicles. This new decentralized environment gave voice to marginalized groups, riots such as the Arab Spring, growth of populist parties and false news waves across the globe. Therefore, considering the influence of these platforms in several aspects of society, this work presents a framework for characterizing the diffusion of information in social networks, especially on Twitter. This characterization is accomplished through the use of complex network and text mining techniques, exploring the generation of a retweets network, the formation of communities around specific users, cascades of information, analysis of feelings and modeling of topics. As an evaluation this model is applied in characterizing a network of retweets generated around the discussion of pension reform of Brazil on Twitter.
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Saez-Trumper, Diego, Carlos Castillo, and Mounia Lalmas. "Social media news communities." In the 22nd ACM international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2505515.2505623.

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O'Banion, Shawn, Larry Birnbaum, and Kristian Hammond. "Social media-driven news personalization." In the 4th ACM RecSys workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2365934.2365943.

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Tsagkias, Manos, Maarten de Rijke, and Wouter Weerkamp. "Linking online news and social media." In the fourth ACM international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1935826.1935906.

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Heuer, Hendrik, and Andreas Breiter. "Trust in news on social media." In NordiCHI'18: Nordic Conference on Human-Computer Interaction. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3240167.3240172.

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Spangenberg, Jochen. "Business session "social media and news." In the 21st international conference companion. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2187980.2188252.

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Sharma, Aniket, Ishita Singh, and Vipin Rai. "Fake News Detection on Social Media." In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2022. http://dx.doi.org/10.1109/icacite53722.2022.9823660.

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Звіти організацій з теми "News diffusion in social media"

1

Azzimonti, Marina, and Marcos Fernandes. Social Media Networks, Fake News, and Polarization. Cambridge, MA: National Bureau of Economic Research, March 2018. http://dx.doi.org/10.3386/w24462.

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Allcott, Hunt, and Matthew Gentzkow. Social Media and Fake News in the 2016 Election. Cambridge, MA: National Bureau of Economic Research, January 2017. http://dx.doi.org/10.3386/w23089.

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Jeyaraj, Anand, and LaToya Malone. Trial, Adoption, Usage and Diffusion of Social Media. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada560201.

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Allcott, Hunt, Matthew Gentzkow, and Chuan Yu. Trends in the Diffusion of Misinformation on Social Media. Cambridge, MA: National Bureau of Economic Research, January 2019. http://dx.doi.org/10.3386/w25500.

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Anguí-Sánchez, D., F. Cabezuelo-Lorenzo, and J. Sotelo-González. Technological and social innovation in digital media: Quartz News case-study. Revista Latina de Comunicación Social, November 2019. http://dx.doi.org/10.4185/rlcs-2019-1405en.

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Benítez de Gracia, MJ, S. Herrera Damas, and E. Benítez de Gracia. Analysis of the immersive social content feature in the Spanish news media. Revista Latina de Comunicación Social, October 2019. http://dx.doi.org/10.4185/rlcs-2019-1403en.

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Chiou, Lesley, and Catherine Tucker. Fake News and Advertising on Social Media: A Study of the Anti-Vaccination Movement. Cambridge, MA: National Bureau of Economic Research, November 2018. http://dx.doi.org/10.3386/w25223.

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Reeve, Sophie, Alice Mutimer, Susanna Cartmell, and Olivia Frost. Investing in Social Media Pays Big Dividends. APRA, Future Agricultures Consortium, April 2022. http://dx.doi.org/10.19088/apra.2022.026.

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Анотація:
Over the past six years, the use of social media, including Twitter, Facebook and WhatsApp, has been a vital part of APRA’s Communications Strategy in raising awareness of the programme’s activities and outputs. Since 2016, APRA’s social media profile has been embedded within the Future Agricultures Consortium’s (FAC) well-established online channels – including Facebook and Twitter – with the view to increase FAC’s followings and enhance APRA’s visibility. The Impact, Communication and Engagement team has been responsible for developing APRA’s Digital Strategy and tracking the impact of social media activities, including sharing APRA’s publications and news on events, and promoting APRA’s key research messages. This report explores this impact, what went well, and what could be improved as future programmes plan their own social media efforts.
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Ibrayeva, Galiya, Saltanat Anarbaeva, Violetta Filchenko, and Lola Olimova. Online News Consumption in Central Asia. Edited by Jazgul Ibraimova. The Representative Office of the Institute for War and Peace Reporting in Central Asia, September 2019. http://dx.doi.org/10.46950/201902.

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This investigation is the first attempt in Central Asia to measure online news consumption. It focuses on identifying trends of online news consumption and sources of news content in the region. The publication contains the results of online survey with participation of 4,130 online news consumers, in-depth interviews with 20 experts in new media who know regional and local peculiarities of news outlets, and analysis of news accounts in social media. The research will be useful to journalism faculties, news media, researchers, and international organisations, as well as to all who are interested in development of digital media in the region. The publication is available in English, Kazakh, Kyrgyz, Russian, Tajik and Uzbek languages.
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Bolton, Laura. Initiatives for the Governance of the Covid-19 Vaccine Rollout, with Special Reference to Social Inclusion. Institute of Development Studies, March 2022. http://dx.doi.org/10.19088/cc.2021.007.

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This rapid review was sourced from key websites and used some keyword searching whilst making an effort to filter out news and media. As systematic searching is not possible within the scope of this review, it cannot be considered a comprehensive listing of activity in the area of vaccine rollout. It is also likely that initiatives and support are occurring which are unpublished. This report should, therefore, be considered a snapshot of activity in this area. It comprises a list of what was found and cannot make assertions about inactivity based on what was not found. The question asked for ‘initiatives’ to be identified, and it has been interpreted broadly. The search identified reports describing support for rollouts, published guidelines, frameworks, calls to action and opinion pieces. The information is organised by institution type. Often information was in the form of a news piece or blog rather than formal documentation, as the situation is current and unfolding and recent information is only available in this type of media. Vaccine passports were outside of the scope of this review.
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