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Cited by 373Social Media and PoliticsMisinformation and Its ImpactsMedia Influence and Politics

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Social Media, Echo Chambers, and Political Polarization

Barberá, Pablo·2020·Social Media and Democracy
DOI 10.1017/9781108890960.004
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Abstract

The aim of this chapter is to offer an exhaustive review of the literature exploring the link between social media and political polarization. It highlights the areas where a consensus based on empirical evidence has already emerged but also identifies the questions that remain open and the type of data and analysis that would help address them.

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  1. Van Alstyne, 1996, Proceedings of the 17th International Conference on Information Systems, 80
  2. 10.1177/1461444817724170 · DOI · Paper page
  3. Barberá, P. (2015). How social media reduces mass political polarization: Evidence from Germany, Spain, and the US. Paper presented at the 2015 American Political Science Association conference.
  4. Gidney, C. , & Ekera, M. (2019). How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits. arXiv.org. https://arxiv.org/abs/1905.09749 · arXiv
  5. Suzor, 2019, What do we mean when we talk about transparency? Toward meaningful transparency in commercial content moderation, International Journal of Communication, 13, 1526
  6. Stohl, 2016, Managing opacity: Information visibility and the paradox of transparency in the digital age, International Journal of Communication, 10, 123
  7. O’Neill, 2006, Transparency: The Key to Better Governance?, 75
  8. Lamble, 2002, Freedom of information: A Finnish clergyman’s gift to democracy, Freedom of Information Review, 97, 2
  9. Kroll, 2016, Accountable algorithms, University of Pennsylvania Law Review, 165, 633
  10. Klonick, 2017, The new governors: The people, rules, and processes governing online speech, Harvard Law Review, 131, 1598
  11. 10.1017/S1049096519001021 · DOI
  12. Wu, 2013, Machine speech, University of Pennsylvania Law Review, 161, 1495
  13. Rogers, 2017, Wikipedia and intermediary immunity: Supporting sturdy crowd systems for producing reliable information, Yale Law Journal Forum, 127, 358
  14. Grimmelmann, 2015, The virtues of moderation, Yale Journal of Law and Technology, 17, 42
  15. Faris, 2017, Partisanship, Propaganda, and Disinformation: Online Media and the 2016 US Presidential Election
  16. Brown Barbour, 2015, Losing their license to libel: Revisiting § 230 immunity, Berkeley Technical Law Journal, 30, 1505
  17. York, J. C. , Faris, R. , Deibert, R. , & Heacock, R. (2018). Policing content in the quasi-public sphere. OpenNet Initiative bulletin, September. https://opennet.net/policing-content-quasi-public-sphere
  18. Penney, 2016, Chilling effects: Online surveillance and Wikipedia use, Berkeley Technology Law Journal, 31, 172
  19. Meleagrou-Hitchens, A. , & Kaderbhai, N. (2017). Research Perspectives on Online Radicalisation: A Literature Review, 2006–2016. VOX-Pol report. www.voxpol.eu/new-vox-pol-report-research-perspectives-online-radicalisation
  20. Gebhart, G. (2018). Who has your back? Censorship edition 2018. Electronic Frontier Foundation, September 10. www.eff.org/who-has-your-back-2018
  21. Bar-Ziv, 2017, Behind the scenes of online copyright enforcement: Empirical evidence on notice and takedown, Connecticut Law Review, 50, 1
  22. McNamee, 2019, Zucked: Waking Up to the Facebook Catastrophe
  23. Lardeau, 2013, State Aid for Newspapers, Media Business and Innovation
  24. Hogan, 2018, Social media giveth, Social media taketh away: Facebook, friendships, and APIs, International Journal of Communication, 12(5), 592
  25. Schaffner, 2017, Misinformation and motivated reasoning, Public Opinion Quarterly, 81, 86
  26. 10.1007/s11109-010-9112-2 · DOI · Paper page
  27. 10.1371/journal.pone.0059837 · DOI
  28. 10.1017/CBO9781139032490 · DOI · Paper page
  29. 10.1126/sciadv.aau4586 · DOI · Paper page
  30. Friggeri, 2014, Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media, 101
  31. Cook, 2011, The Debunking Handbook
  32. 10.1207/S15324834BASP2401_2 · DOI
  33. 10.1111/j.1460-2466.2008.01402.x · DOI · Paper page
  34. 10.1111/j.1460-2466.2008.01402.x · DOI · Paper page
  35. 10.1126/sciadv.aau4586 · DOI · Paper page
  36. 10.1017/S1537592709992714 · DOI · Paper page
  37. 10.1177/1461444817724170 · DOI · Paper page
  38. 10.1093/oso/9780190931407.001.0001 · DOI
  39. 10.2139/ssrn.3082972 · DOI
  40. 10.1080/10584609.2018.1476425 · DOI
  41. 10.1126/science.aao2998 · DOI · Paper page
  42. 10.1037/0022-3514.90.5.751 · DOI · Paper page
  43. Liu, 2014, Proceedings of the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 1, 530
  44. Gorwa, R. (2017). Computational propaganda in Poland: False amplifiers and the digital public sphere. Project on Computational Propaganda Working Paper Series, Oxford.
  45. 10.1111/jcom.12034 · DOI
  46. 10.5871/bacad/9780197263839.001.0001 · DOI
  47. Gorwa, R. (2017). Computational propaganda in Poland: False amplifiers and the digital public sphere. Computational Propaganda Research Project Working Paper Series. Oxford: Oxford Internet Institute.
  48. Lange-Ionatamishvili, 2015, Cyber War in Perspective: Russian Aggression Against Ukraine, 103
  49. 10.1037/0033-2909.83.4.602 · DOI · Paper page
  50. Nielsen, R. K. , & Graves, L. (2017). What do ordinary people think fake news is? Poor journalism and political propaganda. Columbia Journalism Review, October 24. www.cjr.org/analysis/fake-news-study.php
  51. 10.1257/0002828054201468 · DOI · Paper page
  52. Marwick, 2017, Media Manipulation and Disinformation Online
  53. Gillespie, 2018, Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media
  54. Monaco, N. (2017). Computational propaganda in Taiwan: Where digital democracy meets automated autocracy. Computational Propaganda Research Project Working Paper Series. Oxford: Oxford Internet Institute.
  55. Mill, 1859, On Liberty, Utilitarianism, and Other Essays
  56. Goldman, E. (2018). COMO: Content moderation at scale conference recap. Eric Goldman (blog). https://blog.ericgoldman.org/archives/2018/07/como-content-moderation-at-scale-conference-recap.htm
  57. 10.1146/annurev.polisci.7.121003.091630 · DOI
  58. Berry, 2013, The Outrage Industry: Political Opinion Media and the New Incivility
  59. Glasius, 2018, Authoritarian practices in the digital age| Illiberal and authoritarian practices in the digital sphere, International Journal of Communication, 12, 3795
  60. 10.1093/poq/nfw006 · DOI · Paper page
  61. Arun, 2019, On WhatsApp, rumours, and lynchings., Economic and Political Weekly, 54, 30
  62. Twitter. (2018). Update on Twitter’s review of the 2016 US election. Twitter [blog post].
  63. Habermas, 1991, The Structural Transformation of the Public Sphere: An Inquiry into a Category of Bourgeois Society
  64. Tynan, 2016, How Facebook powers money machines for obscure political “news” sites, The Guardian, 24
  65. Sample, 2015, The Ends of Electronic Literature, 58
  66. 10.1017/bpp.2018.25 · DOI
  67. Pariser, 2011, The Filter Bubble: What the Internet Is Hiding from You
  68. Shapiro, R. Y. , & Bloch-Elkon, Y. (2006). Political polarization and the rational public. Paper presented at the annual conference of the American Association for Public Opinion Research, Montreal, Canada.
  69. Czapla, P. , Gugger, S. , Howard, J. , & Kardas, M. (2019). Universal language model fine-tuning for Polish hate speech detection. Paper presented at the Proceedings of the PolEval 2019 Workshop: 149. May 31, Warsaw, Poland.
  70. 10.1093/jcmc/zmx002 · DOI · Paper page
  71. 10.1371/journal.pone.0143611 · DOI · Paper page
  72. 10.7208/chicago/9780226524689.001.0001 · DOI · Paper page
  73. Gillespie, 2018, Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media
  74. Chowdhury, 2019, Proceedings of the 57th Conference of the Association for Computational Linguistics: Student Research Workshop, 273
  75. Paavola, 2016, Understanding the trolling phenomenon: The automated detection of bots and cyborgs in the social media, Journal of Information Warfare, 15, 100
  76. Cardozo, N. , Crocker, A. , Gebhart, G. , Lynch, J. , Opsahl, K. , & York, J. C. (2018). Who Has Your Back? Censorship Edition 2018. Electronic Frontier Foundation report. www.eff.org/who-has-your-back-2018
  77. 10.1080/10584609.2019.1619639 · DOI
  78. 10.1111/j.1460-2466.2010.01509.x · DOI
  79. Surowiecki, 2005, The Wisdom of Crowds
  80. Woolley, S. , & Guilbeault, D. (2017). Computational propaganda in the United States of America: Manufacturing consensus online. Computational Propaganda Project Working Paper Series. Oxford: Oxford Internet Institute. · DOI
  81. Barnouw, 1966, A Tower in Babel
  82. 10.1111/jcom.12315 · DOI
  83. Murthy, 2016, Can bots influence a political discussion? Social capital, technical skill, and conversations about public affairs, International Journal of Communication, 10, 20
  84. Vaccari, 2016, Of echo chambers and contrarian clubs: exposure to political disagreement among German and Italian users of Twitter, Social Media and Society, 2, 1
  85. 10.1093/qje/qjr044 · DOI · Paper page
  86. Newell, 2016, Proceedings of the Tenth International AAAI Conference on Web and Social Media, 279
  87. 10.1093/oso/9780190923624.001.0001 · DOI · Paper page
  88. 10.1073/pnas.1517441113 · DOI · Paper page
  89. Segal, 2018, When China rules the Web, Foreign Affairs, 97
  90. Kolo, 2013, State Aid for Newspapers, Media Business and Innovation
  91. Campbell, 1960, The American Voter
  92. Dadvar, 2012, Proceedings of the Twelfth DutchBelgian Information Retrieval Workshop (DIR 2012), 23
  93. 10.1177/0894439314558836 · DOI
  94. 10.1086/225469 · DOI · Paper page
  95. 10.1257/jep.31.2.211 · DOI · Paper page
  96. 10.1145/2629438 · DOI
  97. 10.1126/science.aaa1160 · DOI · Paper page
  98. Schieb, C. , & Preuss, M. (2016). Governing hate speech by means of counterspeech on Facebook. Paper presented at the 66th Annual Conference of the International Communication Association: Communicating with Power, June 9–13, Fukuoka, Japan.
  99. Del Vigna, 2017, Proceedings of the First Italian Conference on Cybersecurity (ITASEC17), 86
  100. 10.7551/mitpress/10288.001.0001 · DOI · Paper page
  101. 10.1126/science.aap9559 · DOI · Paper page
  102. Bessi, 2016, Social bots distort the 2016 US presidential election online discussion, First Monday, 21
  103. King, 2018, A new model for industry-academic partnerships
  104. 10.1111/1468-2508.00161 · DOI
  105. Barberá, P. (2015). How social media reduces mass political polarization: Evidence from Germany, Spain, and the US. Paper presented at the 2015 American Political Science Association conference.
  106. 10.1140/epjds6 · DOI · Paper page
  107. 10.1017/CBO9780511790867 · DOI
  108. 10.1017/CBO9780511617201 · DOI · Paper page
  109. 10.1073/pnas.1706588114 · DOI · Paper page
  110. Starbird, 2014, Proceedings of iConference 2014
  111. Pariser, 2011, Filter Bubbles: What the Internet Is Hiding from You
  112. Howard, 2015, Pax Technica: The Impact of Automation on Public Opinion
  113. 10.1177/1461444817724170 · DOI · Paper page
  114. Feuz, 2011, Personal Web searching in the age of semantic capitalism: Diagnosing the mechanisms of personalisation, First Monday, 16
  115. 10.1073/pnas.1706588114 · DOI · Paper page
  116. 10.1177/0002716214555474 · DOI · Paper page
  117. 10.1177/0093650212466406 · DOI · Paper page
  118. 10.1111/j.1460-2466.2009.01452.x · DOI · Paper page
  119. 10.1038/s41467-018-06930-7 · DOI · Paper page
  120. 10.1093/poq/nfw006 · DOI · Paper page
  121. 10.1073/pnas.1804840115 · DOI · Paper page
  122. Nguyen, 2019, Testing popular news discourse on the “echo chamber” effect: Does political polarisation occur among those relying on social media as their primary politics news source?, First Monday, 24
  123. Quist, 2012, “Plumbing the depths” of the CDA: Weighing the competing Fourth and Seventh Circuit standards of ISP immunity under Section 230 of the Communications Decency Act, George Mason Law Review, 20, 275
  124. 10.18352/ulr.420 · DOI · Paper page
  125. 10.1111/j.1460-2466.2010.01497.x · DOI · Paper page
  126. 10.1098/rsos.160802 · DOI
  127. 10.1111/j.1540-5907.2006.00214.x · DOI · Paper page
  128. 10.1126/science.aal4230 · DOI · Paper page
  129. 10.4324/9781315694504-11 · DOI
  130. 10.1017/S0003055417000363 · DOI
  131. 10.1177/1461444818758715 · DOI
  132. Abokhodair, 2015, Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work and Social Computing, 839
  133. 10.1257/jep.31.2.211 · DOI · Paper page
  134. American Press Institute. (2017). “Who Shared It?” How Americans Decide What News to Trust on Social Media. American Press Institute report. www.americanpressinstitute.org/publications/reports/survey-research/trust-social-media/
  135. 10.1093/oso/9780190923624.001.0001 · DOI · Paper page
  136. Marwick, 2017, Media Manipulation and Disinformation Online
  137. 10.1111/j.1467-9221.2008.00668.x · DOI
  138. Selepak, 2010, Skinhead Super Mario Brothers: An examination of racist and violent games on White supremacist web sites, Journal of Criminal Justice and Popular Culture, 17, 1
  139. 10.1111/pops.12394 · DOI · Paper page
  140. 10.1126/science.aau2706 · DOI · Paper page
  141. 10.1177/0956797615594620 · DOI · Paper page
  142. 10.1111/0022-3816.00033 · DOI · Paper page
  143. Marwick, 2017, Media Manipulation and Disinformation Online
  144. 10.2202/1540-8884.1354 · DOI
  145. Gonzales, 2017, Bots as a news service and its emotional connection with audiences: The case of Politibot, Doxa Comunicación. Revista Interdisciplinar de Estudios de Comunicación y Ciencias Sociales, 0, 63
  146. 10.1037/xge0000465 · DOI · Paper page
  147. Kwok, 2013, AAAI’13 Proceedings of the 27th AAAI Conference on Artificial Intelligence, 1621
  148. 10.2139/ssrn.3144139 · DOI · Paper page
  149. 10.1126/science.aap9559 · DOI · Paper page
  150. 10.1145/1134271.1134277 · DOI · Paper page
  151. Aiello, 2012, Friendship prediction and homophily in social media, ACM Transactions on the Web (TWEB), 6, 9
  152. 10.1257/aer.20190658 · DOI · Paper page
  153. Allport, 1954, The Nature of Prejudice
  154. 10.1145/2187836.2187907 · DOI · Paper page
  155. 10.1080/21670811.2018.1510741 · DOI
  156. 10.1017/S0003055417000120 · DOI
  157. 10.1257/jep.27.3.103 · DOI
  158. 10.1080/01621459.1974.10480137 · DOI · Paper page
  159. 10.1073/pnas.1517441113 · DOI · Paper page
  160. 10.1007/s11109-011-9176-7 · DOI
  161. 10.1111/jcom.12315 · DOI
  162. 10.1111/j.1083-6101.2009.01440.x · DOI · Paper page
  163. 10.1177/0093650210384984 · DOI
  164. 10.1126/sciadv.aau4586 · DOI · Paper page
  165. 10.1371/journal.pone.0059837 · DOI
  166. 10.1080/21670811.2017.1338145 · DOI · Paper page
  167. 10.1016/j.jpubeco.2016.08.011 · DOI
  168. 10.1177/1461444816634677 · DOI
  169. 10.1093/poq/nfs038 · DOI · Paper page
  170. 10.1371/journal.pone.0052168 · DOI
  171. 10.1017/CBO9780511791048 · DOI
  172. Arendt, H. (1971). Lying in politics: Reflections on the Pentagon Papers. The New York Review of Books, November 18. www.nybooks.com/articles/1971/11/18/lying-in-politics-reflections-on-the-pentagon-pape/
  173. 10.1017/CBO9781139032490 · DOI · Paper page
  174. 10.1146/annurev.soc.27.1.415 · DOI · Paper page
  175. 10.1177/0093650212466406 · DOI · Paper page
  176. 10.1017/S0003055402004264 · DOI · Paper page
  177. 10.1177/0002716214555474 · DOI · Paper page
  178. 10.1007/s11109-010-9112-2 · DOI · Paper page
  179. 10.1017/CBO9781139878425 · DOI
  180. 10.1017/9781108560573 · DOI · Paper page
  181. 10.2139/ssrn.2813342 · DOI
  182. 10.1177/1940161217740697 · DOI
  183. Sunstein, 2001, Republic.com
  184. Van Alstyne, 1996, Proceedings of the 17th International Conference on Information Systems, 80
  185. 10.1017/CBO9780511818691 · DOI · Paper page
  186. Chancellor, 2016, Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, 1201
  187. Duarte, 2018, Proceedings of the 1st Conference on Fairness, Accountability and Transparency, Vol, 106
  188. Gagliardone, 2015, Countering Online Hate Speech
  189. Izsak, R. (2015). Hate speech and incitement to hatred against minorities in the media. UN Humans Rights Council. arXiv.org. www.ohchr.org/EN/Issues/Minorities/SRMinorities/Pages/Annual.aspx
  190. Kang, S. , Kim, J. , Park, K. , & Cha, M. (2018). Classification of hateful comments in a Korean news portal. www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07503234
  191. Kennedy, B. , Kogon, D. , Coombs, K. et al. (2018). A typology and coding manual for the study of hate-based rhetoric. arXiv.org. https://psyarxiv.com/hqjxn/
  192. Liu, 2015, Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), 1, 487
  193. Jeong, 2015, The Internet of Garbage
  194. 10.2139/ssrn.3082972 · DOI
  195. 10.1007/s11109-016-9373-5 · DOI · Paper page
  196. 10.1177/1940161217740697 · DOI
  197. Chan, 2015, The Internet and racial hate crime: Offline spillovers from online access, MIS Quarterly, 14, 381
  198. Van Hee, 2015, International Conference Recent Advances in Natural Language Processing (RANLP), 672
  199. Varol, 2017, Proceedings of the Eleventh International AAAI Conference on Web and Social Media (ICWSM)
  200. Bradshaw, S. , & Howard, P. (2017). Troops, trolls and troublemakers: A global Inventory of organized social media. Computational Propaganda Research Project Working Paper Series. Oxford: Oxford Internet Institute.

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Metadata

Authors
Barberá, P.
Corresponding author
Barberá, Pablo
ORCID
Barberá, Pablo
Venue
Social Media and Democracy
Publisher
Cambridge University Press
Published
2020-08-31
Pages
34-55
DOI
10.1017/9781108890960.004
OpenAlex
W3080223069
Cited by
373
References
722
Citations by year
2026: 60 · 2025: 71 · 2024: 72 · 2023: 91 · 2022: 53 · 2021: 24 · 2020: 2
FWCI
224.68
Type
book chapter
Language
en
Open access
closed
Licence
www.cambridge.org/core/terms (unspecified)
Locations
Cambridge University Press eBooks (publishedVersion)
Topics
  • Social Sciences › Communication › Social Media and Politics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Sociology and Political Science › Media Influence and Politics
Keywords
social media, echo chambers, political polarization, filter bubbles, information environment, political attitudes

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