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Homophily, group size, and the diffusion of political information in social networks: Evidence from Twitter

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  • Halberstam, Yosh
  • Knight, Brian

Abstract

We investigate the role of homophily – a tendency to interact with similar individuals–in the diffusion of political information in social networks. We develop a model predicting disproportionate exposure to like-minded information and that larger groups have more connections and are exposed to more information. To test these hypotheses, we use data on links and communications between politically-engaged Twitter users. We find that users affiliated with majority political groups, relative to the minority group, have more connections, are exposed to more information, and are exposed to information more quickly. Likewise, we find that users are disproportionately exposed to like-minded information and that information reaches like-minded users more quickly.

Suggested Citation

  • Halberstam, Yosh & Knight, Brian, 2016. "Homophily, group size, and the diffusion of political information in social networks: Evidence from Twitter," Journal of Public Economics, Elsevier, vol. 143(C), pages 73-88.
    • Handle: RePEc:eee:pubeco:v:143:y:2016:i:c:p:73-88
    DOI: 10.1016/j.jpubeco.2016.08.011
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    1. Ruben Enikolopov & Maria Petrova & Ekaterina Zhuravskaya, 2011. "Media and Political Persuasion: Evidence from Russia," American Economic Review, American Economic Association, vol. 101(7), pages 3253-3285, December.
    2. Daron Acemoglu & Tarek A. Hassan & Ahmed Tahoun, 2018. "The Power of the Street: Evidence from Egypt’s Arab Spring," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 1-42.
    3. Matthew Gentzkow & Jesse M. Shapiro & Michael Sinkinson, 2011. "The Effect of Newspaper Entry and Exit on Electoral Politics," American Economic Review, American Economic Association, vol. 101(7), pages 2980-3018, December.
    4. Stefano DellaVigna & Ethan Kaplan, 2007. "The Fox News Effect: Media Bias and Voting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1187-1234.
    5. Francis Bloch & Gabrielle Demange & Rachel Kranton, 2018. "Rumors And Social Networks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(2), pages 421-448, May.
    6. Felix Oberholzer-Gee & Joel Waldfogel, 2009. "Media Markets and Localism: Does Local News en Español Boost Hispanic Voter Turnout?," American Economic Review, American Economic Association, vol. 99(5), pages 2120-2128, December.
    7. Delia Furtado & Nikolaos Theodoropoulos, 2013. "SSI for Disabled Immigrants: Why Do Ethnic Networks Matter?," American Economic Review, American Economic Association, vol. 103(3), pages 462-466, May.
    8. Marianne Bertrand & Erzo F. P. Luttmer & Sendhil Mullainathan, 2000. "Network Effects and Welfare Cultures," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 1019-1055.
    9. Sergio Currarini & Matthew O. Jackson & Paolo Pin, 2009. "An Economic Model of Friendship: Homophily, Minorities, and Segregation," Econometrica, Econometric Society, vol. 77(4), pages 1003-1045, July.
    10. Campante, Filipe R. & Hojman, Daniel A., 2013. "Media and polarization," Journal of Public Economics, Elsevier, vol. 100(C), pages 79-92.
    11. Deri, Catherine, 2005. "Social networks and health service utilization," Journal of Health Economics, Elsevier, vol. 24(6), pages 1076-1107, November.
    12. Ruben Durante & Brian Knight, 2012. "Partisan Control, Media Bias, And Viewer Responses: Evidence From Berlusconi'S Italy," Journal of the European Economic Association, European Economic Association, vol. 10(3), pages 451-481, May.
    13. Jackson, Matthew O. & Lã“Pez-Pintado, Dunia, 2013. "Diffusion and contagion in networks with heterogeneous agents and homophily," Network Science, Cambridge University Press, vol. 1(1), pages 49-67, April.
    14. Michelle M. Miller, 2015. "Social Networks and Personal Bankruptcy," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 12(2), pages 289-310, June.
    15. Chun-Fang Chiang & Brian Knight, 2011. "Media Bias and Influence: Evidence from Newspaper Endorsements," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(3), pages 795-820.
    16. Ananat, Elizabeth Oltmans & Washington, Ebonya, 2009. "Segregation and Black political efficacy," Journal of Public Economics, Elsevier, vol. 93(5-6), pages 807-822, June.
    17. Anthony Downs, 1957. "An Economic Theory of Political Action in a Democracy," Journal of Political Economy, University of Chicago Press, vol. 65(2), pages 135-135.
    18. David M. Cutler & Edward L. Glaeser & Jacob L. Vigdor, 1999. "The Rise and Decline of the American Ghetto," Journal of Political Economy, University of Chicago Press, vol. 107(3), pages 455-506, June.
    19. Benjamin Golub & Matthew O. Jackson, 2012. "How Homophily Affects the Speed of Learning and Best-Response Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1287-1338.
    20. Timothy Besley & Andrea Prat, 2006. "Handcuffs for the Grabbing Hand? Media Capture and Government Accountability," American Economic Review, American Economic Association, vol. 96(3), pages 720-736, June.
    21. Nicole Tabasso, 2014. "Diffusion of Multiple Information," School of Economics Discussion Papers 0914, School of Economics, University of Surrey.
    22. Aizer, Anna & Currie, Janet, 2004. "Networks or neighborhoods? Correlations in the use of publicly-funded maternity care in California," Journal of Public Economics, Elsevier, vol. 88(12), pages 2573-2585, December.
    23. Oberholzer-Gee, Felix & Waldfogel, Joel, 2005. "Strength in Numbers: Group Size and Political Mobilization," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 73-91, April.
    24. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    25. Matthew Gentzkow & Jesse M. Shapiro, 2008. "Competition and Truth in the Market for News," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 133-154, Spring.
    26. Matthew Gentzkow & Jesse M. Shapiro, 2011. "Ideological Segregation Online and Offline," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1799-1839.
    27. Tim Groseclose & Jeffrey Milyo, 2005. "A Measure of Media Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(4), pages 1191-1237.
    28. Besley, Timothy, 2007. "Principled Agents?: The Political Economy of Good Government," OUP Catalogue, Oxford University Press, number 9780199283910.
    29. Matthew Gentzkow & Jesse M. Shapiro, 2010. "What Drives Media Slant? Evidence From U.S. Daily Newspapers," Econometrica, Econometric Society, vol. 78(1), pages 35-71, January.
    30. Gee Emily R. & Giuntella G. Osea, 2011. "Medicaid and Ethnic Networks," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-31, December.
    31. Lisa George & Joel Waldfogel, 2003. "Who Affects Whom in Daily Newspaper Markets?," Journal of Political Economy, University of Chicago Press, vol. 111(4), pages 765-784, August.
    32. David Strömberg, 2004. "Mass Media Competition, Political Competition, and Public Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(1), pages 265-284.
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    More about this item

    Keywords

    Political knowledge; Homophily; Social media; Ideological segregation;
    All these keywords.

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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