News by Popular Demand: Ideological Congruence,Issue Salience,and Media Reputation in News Sharing 1

Abstract

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.

Keywords

news sharing social media issue salience

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References

Aruguete

Calvo

. 2018. “Time to# Protest: Selective Exposure, Cascading Activation, and Framing in Social Media.” Journal of Communication 68 (3): 480–502. https://doi.org/10.1093/joc/jqy007.

Aruguete

Calvo

Ventura

. 2021. “News Sharing, Gatekeeping, and Polarization: A Study of the# Bolsonaro Election.” Digital Journalism 9 (1): 1–23. https://doi.org/10.1080/21670811.2020.1852094.

Bail

2021. Breaking the Social Media Prism: How to Make Our Platforms Less Polarizing. Princeton, USA: Princeton University Press.

Barberá

2015. “Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data.” Political Analysis 23 (1): 76–91. https://doi.org/10.1093/pan/mpu011.

Barberá

Pablo

. 2020. “Social media, echo chambers, and political polarization.” Social Media and Democracy: The State of the Field, Prospects for Reform 34.

Blanchett Neheli

2018. “News by Numbers: The Evolution of Analytics in Journalism.” Digital Journalism 6 (8): 1041–51. https://doi.org/10.1080/21670811.2018.1504626.

Boehmer

Jan

Tandoc

Edson C

. 2015. “Why we retweet: Factors influencing intentions to share sport news on Twitter.” International Journal of Sport Communication 8 (2): 212–232.

Bond

Messing

. 2015. “Quantifying Social Media’s Political Space: Estimating Ideology from Publicly Revealed Preferences on Facebook.” American Political Science Review 109 (1): 62–78. https://doi.org/10.1017/S0003055414000525.

Boyd

D. M.

Golder

Lotan

. 2010. “Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter.” In 2010 43rd Hawaii International Conference on System Sciences, 1–10. Honolulu, HI: IEEE. https://doi.org/10.1109/HICSS.2010.412.

10.

Calvo

Hellwig

. 2011. “Centripetal and Centrifugal Incentives Under Different Electoral Systems.” American Journal of Political Science 55 (1): 27–41. https://doi.org/10.1111/j.1540-5907.2010.00482.x.

11.

Choi

Lee

J. K.

. 2015. “Investigating the Effects of News Sharing and Political Interest on Social Media Network Heterogeneity.” Computers in Human Behavior 44:258–66. https://doi.org/10.1016/j.chb.2014.11.029.

12.

Conover

M. D.

Ratkiewicz

Francisco

Gonçalves

Menczer

Flammini

. 2011. “Political polarization on twitter.” In Fifth international AAAI conference on weblogs and social media.

13.

Delli Carpini

M. X.

2004. “Mediating Democratic Engagement: The Impact of Communications on Citizens’ Involvement in Political and Civic Life.” In Handbook of Political Communication Research, ed. L. L. Kaid, 395–434. Mahwah, NJ: Lawrence Erlbaum.

14.

Feld

S. L.

1991. “Why Your Friends Have More Friends Than you do.” American Journal of Sociology 96 (6): 1464–77. https://doi.org/10.1086/229693.

15.

Flaxman

Goel

Rao

J. M.

. 2016. “Filter Bubbles, echo Chambers, and Online News Consumption.” Public Opinion Quarterly 80 (S1): 298–320. https://doi.org/10.1093/poq/nfw006.

16.

García-Perdomo

Salaverría

Kilgo

D. K.

Harlow

. 2018. “To Share or not to Share: The Influence of News Values and Topics on Popular Social Media Content in the United States, Brazil, and Argentina.” Journalism Studies 19 (8): 1180–201. https://doi.org/10.1080/1461670X.2016.1265896.

17.

Guess

A. M.

2021. “(Almost) Everything in Moderation: New Evidence on Americans’ Online Media Diets.” American Journal of Political Science 65: 1007–1022.

18.

Hanusch

Nölleke

. 2019. “Journalistic Homophily on Social Media: Exploring Journalists’ Interactions with Each Other on Twitter.” Digital Journalism 7 (1): 22–44. https://doi.org/10.1080/21670811.2018.1436977.

19.

Huddy

Mason

Aarøe

. 2015. “Expressive Partisanship: Campaign Involvement, Political Emotion, and Partisan Identity.” American Political Science Review 109 (1): 1–17. https://doi.org/10.1017/S0003055414000604.

20.

Kahneman

2011. Thinking, Fast and Slow. New York: Macmillan.

21.

Karnowski

Leiner

D. J.

Sophie Kümpel

Leonhard

. 2020. “Worth to Share? How Content Characteristics and Article Competitiveness Influence News Sharing on Social Network Sites.” Journalism & Mass Communication Quarterly 98(1): 59–82. https://doi.org/1077699020940340.

22.

Karnowski

Leonhard

Kümpel

A. S.

. 2018. “Why Users Share the News: A Theory of Reasoned Action-Based Study on the Antecedents of News-Sharing Behavior.” Communication Research Reports 35 (2): 91–100. https://doi.org/10.1080/08824096.2017.1379984.

23.

Kümpel

A. S.

Karnowski

Keyling

. 2015. “News Sharing in Social Media: A Review of Current Research on News Sharing Users, Content, and Networks.” Social Media+ Society 1 (2): .1–15. https://doi.org/10.1177/2056305115610141.

24.

Lee

E.-J.

Tandoc

E. C.

Jr.

2017. “When News Meets the Audience: How Audience Feedback Online Affects News Production and Consumption.” Human Communication Research 43 (4): 436–49. https://doi.org/10.1111/hcre.12123.

25.

Macskassy

S. A.

Michelson

2011, July. “Why do people retweet? Anti-Homophily Wins the Day!” In Fifth International AAAI Conference on Weblogs and Social Media.

26.

Mason

2018. Uncivil Agreement: How Politics Became our Identity. Chicago: University of Chicago Press.

27.

Oosterhoff

Shook

N. J.

Ford

. 2018. “Is That Disgust I see? Political Ideology and Biased Visual Attention.” Behavioral Brain Research 336:227–35. Is That Disgust I see? Political Ideology and Biased Visual Attention.

28.

Osmundsen

Bor

Vahlstrup

P. B.

Bechmann

Petersen

M. B.

. 2020. “Partisan Polarization is the Primary Psychological Motivation Behind “Fake News” Sharing on Twitter.” American Political Science Review 115 (3): 999–1015. https://doi.org/10.7910/DVN/AH6AZK.

29.

Rudat

Anja

Buder

Jürgen

. 2015. “Making retweeting social: The influence of content and context information on sharing news in Twitter.” Computers in Human Behavior 46: 75–84.

30.

Russell

F. M.

2019. “Twitter and News Gatekeeping: Interactivity, Reciprocity, and Promotion in News Organizations’ Tweets.” Digital Journalism 7 (1): 80–99. https://doi.org/10.1080/21670811.2017.1399805.

31.

Scheufele

D. A.

Nisbet

M. C.

. 2013. “Commentary: Online News and the Demise of Political Disagreement.” Annals of the International Communication Association 36 (1): 45–53. https://doi.org/10.1080/23808985.2013.11679125.

32.

Sikder

Smith

R. E.

Vivo

Livan

. 2020. “A Minimalistic Model of Bias, Polarization and Misinformation in Social Networks.” Scientific Reports 10 (1): 1–11. https://doi.org/10.1038/s41598-020-62085-w.

33.

Strömbäck

Djerf-Pierre

Shehata

. 2013. “The Dynamics of Political Interest and News Media Consumption: A Longitudinal Perspective.” International Journal of Public Opinion Research 25 (4): 414–35. https://doi.org/10.1093/ijpor/eds018.

34.

Suh

Hong

Pirolli

Chi

E. H.

. 2010, August. “Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network.” In 2010 IEEE Second International Conference on Social Computing, 177–84. IEEE.

35.

Timoneda

J. C.

2018. “Where in the World Is My Tweet: Detecting Irregular Removal Patterns on Twitter.” PloS One 13 (9): e0203104. https://doi.org/10.1371/journal.pone.0203104.

36.

Trilling

Tolochko

Burscher

. 2017. “From newsworthiness to shareworthiness: How to predict news sharing based on article characteristics.” Journalism and Mass Communication Quarterly 94 (1): 38–60.

37.

Von Nordheim

Boczek

Koppers

. 2018. “Sourcing the Sources: An Analysis of the use of Twitter and Facebook as A Journalistic Source Over 10 Years in The New York Times, The Guardian, and Süddeutsche Zeitung.” Digital Journalism 6 (7): 807–28. https://doi.org/10.1080/21670811.2018.1490658.

38.

Wang

Can

Kazemzadeh

Bar

Narayanan

. 2012, July. “A System for Real-Time Twitter Sentiment Analysis of 2012 us Presidential Election Cycle.” In Proceedings of the ACL 2012 System Demonstrations, 115–20.

39.

Waruwu

B. K.

Tandoc

E. C.

Jr. Duffy

Kim

Ling

. 2020. “Telling Lies Together? Sharing News as A Form of Social Authentication.” New Media & Society 23(9): 2516–2533. https://doi.org/10.1177/1461444820931017.

40.

Weaver

1991. “Issue Salience and Public Opinion: Are There Consequences of Agenda-Setting?” International Journal of Public Opinion Research 3 (1): 53–68. https://doi.org/10.1093/ijpor/3.1.53.

41.

Weeks

B. E.

Holbert

R. L.

. 2013. “Predicting Dissemination of News Content in Social Media: A Focus on Reception, Friending, and Partisanship.” Journalism & Mass Communication Quarterly 90 (2): 212–32. https://doi.org/10.1177/1077699013482906.

42.

Zheng

Salganik

M. J.

Gelman

. 2006. “How Many People do you Know in Prison? Using Overdispersion in Count Data to Estimate Social Structure in Networks.” Journal of the American Statistical Association 101 (474): 409–23.

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