Shareworthiness and Motivated Reasoning in Hyper-Partisan News Sharing Behavior on Twitter

2021 ◽  
pp. 1-23
Author(s):  
Magdalena Wischnewski ◽  
Axel Bruns ◽  
Tobias Keller
Keyword(s):  
Motivated Reasoning ◽  
News Sharing ◽  
Sharing Behavior ◽  
Partisan News

scholarly journals What Drives Hyper-Partisan News Sharing: Exploring the Role of Source, Style, and Content

2020 ◽  
Vol 8 (4) ◽  
pp. 486-505 ◽  
Author(s):  
Weiai Wayne Xu ◽  
Yoonmo Sang ◽  
Christopher Kim
Keyword(s):  
News Sharing ◽  
Partisan News

The Impact of Social vs. Nonsocial Referring Channels on Online News Consumption

2020 ◽  
Author(s):  
Sagit Bar-Gill ◽  
Yael Inbar ◽  
Shachar Reichman
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Online News ◽  
Clickstream Data ◽  
News Consumption ◽  
Online Newspaper ◽  
News Website ◽  
The Impact ◽  
News Sharing ◽  
Sharing Behavior

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.

Attention to issues and facts

2019 ◽  
Vol 3 (2) ◽  
pp. 186-207
Author(s):  
Chris J. Vargo ◽  
Toby Hopp
Keyword(s):  
Political Interest ◽  
Computer Assisted ◽  
Specific Behavior ◽  
Age And Gender ◽  
Political News ◽  
Need For Orientation ◽  
And Gender ◽  
News Sharing ◽  
Sharing Behavior ◽  
Do So

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.

Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior

2019 ◽  
Vol 51 ◽  
pp. 72-82 ◽  
Author(s):  
Shalini Talwar ◽  
Amandeep Dhir ◽  
Puneet Kaur ◽  
Nida Zafar ◽  
Melfi Alrasheedy
Keyword(s):  
Social Media ◽  
Media Use ◽  
Dark Side ◽  
Fake News ◽  
Social Media Use ◽  
News Sharing ◽  
Sharing Behavior

Determinants of News Sharing Behavior on Social Media

2019 ◽  
Vol 60 (6) ◽  
pp. 593-601 ◽  
Author(s):  
Nik Thompson ◽  
Xuequn Wang ◽  
Pratiq Daya
Keyword(s):  
Social Media ◽  
News Sharing ◽  
Sharing Behavior

scholarly journals Motivated Misperception? Party, Education, Partisan News, and Belief in “Death Panels”

2013 ◽  
Vol 90 (1) ◽  
pp. 39-57 ◽  
Author(s):  
Patrick C. Meirick
Keyword(s):  
Health Care ◽  
Health Care Reform ◽  
Survey Data ◽  
Motivated Reasoning ◽  
Fox News ◽  
Main Effect ◽  
Radio News ◽  
Education News ◽  
Partisan News

This study drew on the literature in motivated reasoning and 2009 Pew survey data to examine the roles of partisanship, education, news exposure, and their interactions in the misperception that health care reform would create “death panels.” Radio news exposure encouraged the misperception only among Republicans, while newspaper exposure discouraged it, especially among non-Republicans. But rather than polarize perceptions along partisan lines as predicted, Fox News exposure contributed to misperception mainstreaming. Finally, this study identified a complex role for education in both inhibiting misperceptions (as a main effect) and promoting them (as an interaction with Fox News exposure).

scholarly journals Right and left, partisanship predicts (asymmetric) vulnerability to misinformation

2021 ◽  
Author(s):  
Dimitar Nikolov ◽  
Alessandro Flammini ◽  
Filippo Menczer
Keyword(s):  
Regression Analysis ◽  
Strongly Correlated ◽  
Echo Chambers ◽  
Echo Chamber ◽  
Left And Right ◽  
The Relationship ◽  
News Sharing ◽  
Sharing Behavior

We analyze the relationship between partisanship, echo chambers, and vulnerability to online mis-information by studying news sharing behavior on Twitter. While our results confirm prior findings that online misinformation sharing is strongly correlated with right-leaning partisanship, we also uncover a similar, though weaker, trend among left-leaning users. Because of the correlation be-tween a user’s partisanship and their position within a partisan echo chamber, these types of influ-ence are confounded. To disentangle their effects, we performed a regression analysis and found that vulnerability to misinformation is most strongly influenced by partisanship for both left- and right-leaning users.

News by Popular Demand: Ideological Congruence, Issue Salience, and Media Reputation in News Sharing

2021 ◽  
pp. 194016122110570
Author(s):  
Natalia Aruguete ◽  
Ernesto Calvo ◽  
Tiago Ventura
Keyword(s):  
Social Media ◽  
Observational Data ◽  
The United States ◽  
Issue Salience ◽  
Media Reputation ◽  
Using Data ◽  
Ideological Congruence ◽  
The Relationship ◽  
News Sharing ◽  
Sharing Behavior

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.

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