Determinants of News Sharing Behavior on Social Media

2019 ◽  
Vol 60 (6) ◽  
pp. 593-601 ◽  
Author(s):  
Nik Thompson ◽  
Xuequn Wang ◽  
Pratiq Daya
2020 ◽  
Author(s):  
Sagit Bar-Gill ◽  
Yael Inbar ◽  
Shachar Reichman

The digitization of news markets has created a key role for online referring channels. This research combines field and laboratory experiments and analysis of large-scale clickstream data to study the effects of social versus nonsocial referral sources on news consumption in a referred news website visit. We theorize that referrer-specific browsing modes and referrer-induced news consumption thresholds interact to impact news consumption in referred visits to an online newspaper and that news sharing motivations invoked by the referral source impact sharing behavior in these referred visits. We find that social media referrals promote directed news consumption—visits with fewer articles, shorter durations, yet higher reading completion rates—compared with nonsocial referrals. Furthermore, social referrals invoke weaker informational sharing motivations relative to nonsocial referrals, thus leading to a lower news sharing propensity relative to nonsocial referrals. The results highlight how news consumption changes when an increasing amount of traffic is referred by social media, provide insights applicable to news outlets’ strategies, and speak to ongoing debates regarding biases arising from social media’s growing importance as an avenue for news consumption. This paper was accepted by Anandhi Bharadwaj, information systems.


2019 ◽  
Vol 51 ◽  
pp. 72-82 ◽  
Author(s):  
Shalini Talwar ◽  
Amandeep Dhir ◽  
Puneet Kaur ◽  
Nida Zafar ◽  
Melfi Alrasheedy

2021 ◽  
pp. 194016122110570
Author(s):  
Natalia Aruguete ◽  
Ernesto Calvo ◽  
Tiago Ventura

Social media news sharing has become a central subject of scholarly research in communication studies. To test current theories, it is of an utmost importance to estimate the meaningful parameters of news sharing behavior from observational data. In this article, we retrieve measures of ideological congruence, issue salience, and media reputation to explain news sharing in social media. We describe how the proposed statistical model connects to different strands of the news sharing literature. We then exemplify the usefulness of the model with an analysis of the relationship between ideological congruence and issue salience. Results show that if ideology and salience correlate with each other, the preferences of ideologues (i.e., users who give higher weight to ideological congruence) will be overrepresented in observational data. This will result in the heightened perceptions of polarization. We test the performance of the model using data from Brazil, Argentina, and the United States.


2018 ◽  
Vol 61 (2) ◽  
pp. 157-177 ◽  
Author(s):  
Chang-Dae Ham ◽  
Joonghwa Lee ◽  
Jameson L Hayes ◽  
Young Han Bae

Increasingly, consumers are simulcasting branded content across multiple, interconnected social media platforms creating a complex social media ecosystem. However, little is known about what motivates sharing in the ecosystem as opposed to specific media contexts. Present research explores multiplatform consumers’ general sharing motivations and examines how those motivations, in conjunction with social relationships, influence sharing behavior across social media platforms. First, four focus group interviews were conducted to identify general social media sharing motivations of multiplatform consumers. Employing an online survey ( N = 249), four dimensions comprised of 31 sharing motivation items were identified: social presence, social conversation, easy connection, and self-management. Applying a theory of reasoned action and social exchange theory approach, we conducted a second online survey ( N = 342) to elaborate on our findings in terms of multidimensionality and interdependency among the influencing factors on social sharing behavior. Social conversation exhibited the strongest relationship with attitude toward sharing, whereas self-management was negatively related to the social norm, which, in turn, was negatively associated with sharing intention. Findings and implications are discussed.


2020 ◽  
Vol 9 (1) ◽  
pp. 3-20
Author(s):  
Edson C. Tandoc ◽  
Alice Huang ◽  
Andrew Duffy ◽  
Rich Ling ◽  
Nuri Kim

Guided by the framework of reciprocity on social media, the current study investigated antecedents of news sharing. Using a two-wave panel survey involving 868 respondents who took two surveys about one year apart, this study examined the effect of frequency of receiving news on social media on subsequent news-sharing behaviour, while controlling for demographics, news-sharing motivations and trust in social media news. The study found that motivation for self-presentation and trust in news shared by one's social media network positively predicted news sharing on social media. Frequency of receiving news at Time 1 also predicted sharing news subsequently at Time 2. This points to news being valued as a form of social currency.


2020 ◽  
pp. 205015792095844
Author(s):  
Antonis Kalogeropoulos

Recently, in many countries, the use of mobile messaging applications for news has risen while the use of Facebook for news has declined. The purpose of this study is to identify who shares news on messaging applications, why and in what ways. Findings from a survey and focus groups in the US, the UK, Germany, and Brazil show that (a) the main motivation for news users to share news in these spaces is context collapse; their aversion to news sharing on an open network like Facebook, (b) the anytime/anywhere mobile affordance facilitates their need for private news sharing, (c) news stories chosen for sharing usually revolve around niche interests or breaking news events and not politics and current affairs, (d) news sharers are likely to be young, and to trust in news found on social media in the Western countries of our sample, while they tend to be older and partisan in Brazil where 38% of the population shares news on mobile messaging apps during an average week.


2018 ◽  
Vol 20 (11) ◽  
pp. 4255-4274 ◽  
Author(s):  
Andrew Chadwick ◽  
Cristian Vaccari ◽  
Ben O’Loughlin

The use of social media for sharing political information and the status of news as an essential raw material for good citizenship are both generating increasing public concern. We add to the debates about misinformation, disinformation, and “fake news” using a new theoretical framework and a unique research design integrating survey data and analysis of observed news sharing behaviors on social media. Using a media-as-resources perspective, we theorize that there are elective affinities between tabloid news and misinformation and disinformation behaviors on social media. Integrating four data sets we constructed during the 2017 UK election campaign—individual-level data on news sharing ( N = 1,525,748 tweets), website data ( N = 17,989 web domains), news article data ( N = 641 articles), and data from a custom survey of Twitter users ( N = 1313 respondents)—we find that sharing tabloid news on social media is a significant predictor of democratically dysfunctional misinformation and disinformation behaviors. We explain the consequences of this finding for the civic culture of social media and the direction of future scholarship on fake news.


2019 ◽  
Vol 3 (2) ◽  
pp. 186-207
Author(s):  
Chris J. Vargo ◽  
Toby Hopp

Abstract Need for orientation (NFO) has long been accepted as an antecedent to agenda-setting effects. This study assessed whether NFO can go further to explain a specific behavior, why individuals share political news on Facebook. A new method is introduced that combines survey data with users’ Facebook accounts and their actual Facebook posts to reveal the historical news sharing behaviors of 741 U.S. citizens. Computer-assisted content analysis is employed to analyze nearly a million messages for the presence of political news content. Results suggest that a key component found in need for orientation – attention to relevant issues and facts – predicts observed political news sharing on Facebook. Other demographics such as age and gender also predict news sharing behavior. In all, the model employed here significantly predicts news sharing while commonly regarded antecedents to political sharing, including news consumption and political interest, fail to do so.


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