The Role of Political Activity in the Formation of Online Identity Bubbles
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Increasing social media use has transformed political participation by creating social cliques and echo chambers, which involve interaction between like‐minded people. This article examines the relationship between online political activity and personal involvement in online identity bubbles. This study is the first to examine this phenomenon using nationally representative data; its data were derived from surveys targeted at 18–74‐year‐old Finns (N = 3,724). Measures included online political activity, the Identity Bubble Reinforcement Scale, and behavioral and demographic factors. The results show that online political activity was positively associated with online identity bubbles. This effect was strong even after controlling for behavioral and demographic factors. In addition to online political activity, general online activity, online network size, and basic sociodemographic background variables explained variation of involvement in online identity bubbles. However, neither political preference nor political interest had a systematic effect on involvement in these bubbles. The findings confirm the theoretical assumption that online bubbles can be captured using subjective survey measures. Political activity appears to be a key factor associated with the strength of the online bubble experience. This finding has significance in the contemporary information society, in which various mundane discussions and cultural disputes become politically tinged.
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The amount of media a person consumes is anti-proportional to their chance of being trapped in an echo chamber, which contradicts findings by CSS studies that engagement and echo chambers are positively correlated.
“They find that the amount of media a person consumes is anti-proportional to their chance of being trapped in an echo chamber, which contradicts findings by CSS studies [48,50,66,67] that find that engagement and echo chambers are positively correlated.”
From A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes (2025) · cites this paper as [67]
The Discussion (page not available in our copy) says frequent social media use has an effect on identity-bubble formation, and the Results report a positive association involving social media activity and identity-bubble reinforcement. The paper does not find that consuming more media lowers a person's chance of being in an echo chamber; it studies social media activity and online identity bubbles rather than media consumption generally. (LLM, conf=0.86)
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The spreading of misinformation online
Del Vicario, M., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., Stanley, H. E., & Quattrociocchi, W. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517441113 · Cited by 2,407 · see citing works
The digital divide shifts to differences in usage
van Deursen, A. J., & van Dijk, J. A. (2014) · New Media & Society · doi:10.1177/1461444813487959 · Cited by 1,733 · see citing works
Youmans, W. L., & York, J. C. (2012) · Journal of Communication · doi:10.1111/j.1460-2466.2012.01636.x · Cited by 376 · see citing works
Debunking in a world of tribes
Zollo, F., Bessi, A., Del Vicario, M., Scala, A., Caldarelli, G., Shekhtman, L., Havlin, S., & Quattrociocchi, W. (2017) · PLOS ONE · doi:10.1371/journal.pone.0181821 · Cited by 345 · see citing works
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Research works printed but not linked: 60
- Alashri, S., Kandala, S. S., V.Bajaj, Ravi, R., Smith, K. L., & Desouza, C. K. (2016). An analysis of sentiments on facebook during the 2016 U.S. presidential election. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 795-802).
- Allcott, H., & Gentzkow, M. (2017). Social Media and Fake News in the 2016 Election. Journal of Economic Perspectives, 31(2), 211-236. https://doi.org/10.1257/jep.31.2.211 · DOI · Paper page
- Anglin, S. M., & Jussim, L. (2017). Science and politics: Do people support the conduct and dissemination of politicized research? Journal of Social and Political Psychology, 5(1), 142-172. https://doi.org/10.5964/jspp.v5i1.427 · DOI
- Bakshy, E., Messing, S., & Adamic, L. A. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239), 1130 LP-1132. Retrieved from https://doi.org/10.1126/science.aaa1160 · DOI · Paper page
- Beam, M. A., Hutchens, M. J., & Hmielowski, J. D. (2018). Facebook news and (de)polarization: reinforcing spirals in the 2016 US election. Information, Communication & Society, 21(7), 940-958. https://doi.org/10.1080/1369118X.2018.1444783 · DOI · Paper page
- Bennett, W. L. (2012). The Personalization of Politics: Political Identity, Social Media, and Changing Patterns of Participation. The ANNALS of the American Academy of Political and Social Science, 644(1), 20-39. https://doi.org/10.1177/0002716212451428 · DOI
- Bessi, A., Coletto, M., Davidescu, G. A., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2015). Science vs Conspiracy: Collective Narratives in the Age of Misinformation. PLOS ONE, 10(2), 1-17. https://doi.org/10.1371/journal.pone.0118093 · DOI · Paper page
- Bimber, B., Cunill, M. C., Copeland, L., & Gibson, R. (2014). Digital Media and Political Participation: The Moderating Role of Political Interest Across Acts and Over Time. Social Science Computer Review, 33(1), 21-42. https://doi.org/10.1177/0894439314526559 · DOI
- Bischof, D. (2017). New graphic schemes for Stata: plotplain and plottig. The Stata Journal, 17(3), 748-759.
- Boulianne, S. (2009). Does internet use affect engagement? A meta-analysis of research. Political Communication, 26(2), 193-211. https://doi.org/10.1080/10584600902854363 · DOI
- Boulianne, S. (2015). Social media use and participation: a meta-analysis of current research. Information, Communication & Society, 18(5), 524-538. https://doi.org/10.1080/1369118X.2015.1008542 · DOI
- Boutyline, A., & Willer, R. (2017). The Social Structure of Political Echo Chambers: Variation in Ideological Homophily in Online Networks. Political Psychology, 38(3), 551-569. https://doi.org/10.1111/pops.12337 · DOI · Paper page
- Bright, J. (2018). Explaining the emergence of political fragmentation on social media: The role of ideology and extremism. Journal of Computer-Mediated Communication, 23(1), 17-33. https://doi.org/10.1093/jcmc/zmx002 · DOI · Paper page
- Campbell, S. W., & Kwak, N. (2011). Political Involvement in "Mobilized" Society: The Interactive Relationships Among Mobile Communication, Network Characteristics, and Political Participation. Journal of Communication, 61(6), 1005-1024. Retrieved from http://dx.doi.org/10.1111/j.1460-2466.2011.01601.x · DOI
- Chan, C. H., & Fu, K. W. (2017). The Relationship Between Cyberbalkanization and Opinion Polarization: Time-Series Analysis on Facebook Pages and Opinion Polls During the Hong Kong Occupy Movement and the Associated Debate on Political Reform. Journal of Computer-Mediated Communication, 22(5), 266-283. https://doi.org/10.1111/jcc4.12192 · DOI
- Conover M.D., Ratkiewicz J., Francisco M., Gonçalves B., Flammini A., & Menczer F. (2011). Political polarization on Twitter. Proc. 5th Int. AAAI Conf. Weblogs Soc. Media. Menlo Park, CA: AAAI Press
- di Gennaro, C., & Dutton, W. (2006). The Internet and the Public: Online and Offline Political Participation in the United Kingdom. Parliamentary Affairs, 59(2), 299-313. Retrieved from http://dx.doi.org/10.1093/pa/gsl004 · DOI
- Dutton, W. H., Reisdorf, B. C., Dubois, E., & Blank, G. (2017). Search and Politics: The Uses and Impacts of Search in Britain, France, Germany, Italy, Poland, Spain, and the United States. Quello Center Working Paper No. 5-1-17. Available at SSRN: https://ssrn.com/abstract=2960697 or http://dx.doi.org/10.2139/ssrn.2960697 · DOI
- Ekman, J., & Amnå, E. (2012). Political participation and civic engagement: Towards a new typology. Human Affairs, 22(3), 283-300. https://doi.org/10.2478/s13374-012-0024-1 · DOI
- Engesser, S., Ernst, N., Esser, F., & Büchel, F. (2017). Populism and social media: how politicians spread a fragmented ideology. Information, Communication & Society, 20(8), 1109-1126. https://doi.org/10.1080/1369118X.2016.1207697 · DOI
- Gil de Zúñiga, H., Copeland, L., & Bimber, B. (2014). Political consumerism: Civic engagement and the social media connection. New Media and Society, 16(3), 488-506. https://doi.org/10.1177/1461444813487960 · DOI
- Gil de Zúñiga, H., Jung, N., & Valenzuela, S. (2012). Social Media Use for News and Individuals' Social Capital, Civic Engagement and Political Participation. Journal of Computer-Mediated Communication, 17(3), 319-336. Retrieved from http://dx.doi.org/10.1111/j.1083-6101.2012.01574.x · DOI · Paper page
- Gil de Zúñiga, H., Molyneux, L., & Zheng, P. (2014). Social Media, Political Expression, and Political Participation: Panel Analysis of Lagged and Concurrent Relationships. Journal of Communication, 64(4), 612-634. Retrieved from http://dx.doi.org/10.1111/jcom.12103 · DOI
- Graham, T., Broersma, M., Hazelhoff, K., & van 't Haar, G. (2013). Between Broadcasting Political Messages and Interacting with Voters: The use of Twitter during the 2010 UK general election campaign. Information Communication and Society, 16(5), 692-716. https://doi.org/10.1080/1369118X.2013.785581 · DOI · Paper page
- Hampton, K. N., Shin, I., & Lu, W. (2017). Social media and political discussion: when online presence silences offline conversation. Information, Communication & Society, 20(7), 1090-1107. https://doi.org/10.1080/1369118X.2016.1218526 · DOI
- Häussler, T. (2018). Heating up the debate? Measuring fragmentation and polarisation in a German climate change hyperlink network. Social Networks, 54, 303-313. https://doi.org/https://doi.org/10.1016/j.socnet.2017.10.002 · DOI
- Himelboim, I., Mccreery, S., & Smith, M. (2013). Birds of a Feather Tweet Together: Integrating Network and Content Analyses to Examine Cross-Ideology Exposure on Twitter. Journal of Computer-Mediated Communication, 18(2), 40-60. https://doi.org/10.1111/jcc4.12001 · DOI
- Hogg, M. A., Abrams, D., Otten, S., & Hinkle, S. (2004). The Social Identity Perspective: Intergroup Relations, Self-Conception, and Small Groups. Small Group Research, 35(3), 246-276. https://doi.org/10.1177/1046496404263424 · DOI
- Holt, K., Shehata, A., Strömbäck, J., & Ljungberg, E. (2013). Age and the effects of news media attention and social media use on political interest and participation: Do social media function as leveller? European Journal of Communication, 28(1), 19-34. https://doi.org/10.1177/0267323112465369 · DOI
- Inglehart, R., & Norris, P. (2017). Trump and the Populist Authoritarian Parties: The Silent Revolution in Reverse. Perspectives on Politics. https://doi.org/10.1017/S1537592717000111 · DOI
- Jann, B. (2014). Plotting regression coefficients and other estimates. Stata Journal, 14(4), 708-737. https://doi.org/The Stata Journal
- Jans, L., Leach, C. W., Garcia, R. L., & Postmes, T. (2014). The development of group influence on in-group identification: A multilevel approach. Group Processes & Intergroup Relations, 18(2), 190-209. https://doi.org/10.1177/1368430214540757 · DOI
- Jost, J. T., Barberá, P., Bonneau, R., Langer, M., Metzger, M., Nagler, J., … Tucker, J. A. (2018). How Social Media Facilitates Political Protest: Information, Motivation, and Social Networks. Political Psychology, 39(S1), 85-118. https://doi.org/10.1111/pops.12478 · DOI · Paper page
- Keipi, T., Näsi, M., Oksanen, A., & Räsänen, P. (2017). Online hate and harmful content: Cross-national perspectives. Online Hate and Harmful Content: Cross-National Perspectives. https://doi.org/10.4324/9781315628370 · DOI
- Koiranen, I., Keipi, T., Koivula, A., & Räsänen, P. (in press) Changing patterns of social media use in Finland. A Population-level study. Universal Access in the Information Society.
- Kriesi, H. (2010). Restructuration of partisan politics and the emergence of a new cleavage based on values. West European Politics, 33(3), 673-685. https://doi.org/10.1080/01402381003654726 · DOI
- Kruikemeier, S., van Noort, G., Vliegenthart, R., & de Vreese, C. H. (2013). Getting closer: The effects of personalized and interactive online political communication. European Journal of Communication, 28(1), 53-66. https://doi.org/10.1177/0267323112464837 · DOI
- Kuru, O., Pasek, J., & Traugott, M. W. (2017). Motivated Reasoning in the Perceived Credibility of Public Opinion Polls. Public Opinion Quarterly, 81(2), 422-446. Retrieved from http://dx.doi.org/10.1093/poq/nfx018 · DOI
- Lazarsfeld, P., & Merton, R. (1954). Friendship as social process: A substantive and methodological analysis. In M. Berger, T. Abel, & C. Page (Eds.), Freedom and Control in Modern Society (pp. 18-66). New York: Van Nostrand. Retrieved from citeulike- article-id:6531924
- Lee, C., Shin, J., & Hong, A. (2018). Does social media use really make people politically polarized? Direct and indirect effects of social media use on political polarization in South Korea. Telematics and Informatics, 35(1), 245-254. https://doi.org/10.1016/j.tele.2017.11.005 · DOI · Paper page
- Lee, J. K., Choi, J., Kim, C., & Kim, Y. (2014). Social media, network heterogeneity, and opinion polarization. Journal of Communication, 64(4), 702-722. https://doi.org/10.1111/jcom.12077 · DOI
- Lehdonvirta, V., & Räsänen, P. (2011). How do young people identify with online and offline peer groups? A comparison between UK, Spain and Japan. Journal of Youth Studies, 14(1), 91-108. https://doi.org/10.1080/13676261.2010.506530 · DOI
- McGarty, C., Thomas, E. F., Lala, G., Smith, L. G. E., & Bliuc, A.-M. (2014). New Technologies, New Identities, and the Growth of Mass Opposition in the Arab Spring. Political Psychology, 35(6), 725-740. https://doi.org/10.1111/pops.12060 · DOI
- McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a Feather: Homophily in Social Networks. Annual Review of Sociology, 27(1), 415-444. https://doi.org/10.1146/annurev.soc.27.1.415 · DOI · Paper page
- Mikal, J. P., Rice, R. E., Kent, R. G., & Uchino, B. N. (2015). 100 million strong: A case study of group identification and deindividuation on Imgur.com. New Media & Society, 18(11), 2485-2506. https://doi.org/10.1177/1461444815588766 · DOI
- Oesch, D., & Rennwald, L. (2018). Electoral competition in Europe's new tripolar political space: Class voting for the left, centre-right and radical right. European Journal of Political Research, 0(0). https://doi.org/10.1111/1475-6765.12259 · DOI
- Oksanen, A., Hawdon, J., & Räsänen, P. (2014). Glamorizing rampage online: School shooting fan communities on YouTube. Technology in Society, 39, 55-67. https://doi.org/https://doi.org/10.1016/j.techsoc.2014.08.001 · DOI
- Pariser, E. (2011). The Filter Bubble: How the New Personalized Web Is Changing What We Read and How We Think. Penguin Publishing Group.
- Pasek, J., more, eian, & Romer, D. (2009). Realizing the Social Internet? Online Social Networking Meets Offline Civic Engagement. Journal of Information Technology & Politics, 6(3-4), 197-215. https://doi.org/10.1080/19331680902996403 · DOI
- Pew Research Center. (2014). Political Polarization in the American Public. Retrieved from http://www.people-press.org/2014/06/12/political-polarization-in-the-american-public/
- Schradie, J. (2011). The digital production gap: The digital divide and Web 2.0 collide. Poetics, 39(2), 145-168. https://doi.org/https://doi.org/10.1016/j.poetic.2011.02.003 · DOI
- Sunstein, C. R. (2018). #Republic: Divided Democracy in the Age of Social Media. Princeton University Press. Retrieved from https://books.google.fi/books?id=oVBLDwAAQBAJ
- Tajfel, H., & Turner, J. C. (1979). An Integrativ Theory of Intergroup conflict. In The Social Psychology of Intergroup Relations. https://doi.org/10.1016/S0065-2601(05)37005-5 · DOI
- Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D., & Wetherell, M. S. (1987). A self- categorization theory. In Rediscovering the Social Group: A Self-Categorization Theory (pp. 42-67). https://doi.org/10.1111/j.2044-8309.1987.tb00799.x · DOI
- Valenzuela, S., Kim, Y., & Gil de Zúñiga, H. (2012). Social Networks that Matter: Exploring the Role of Political Discussion for Online Political Participation. International Journal of Public Opinion Research, 24(2), 163-184. Retrieved from http://dx.doi.org/10.1093/ijpor/edr037 · DOI
- van Dijk, J., & Hacker, K. (2018). Internet and Democracy in the Network Society. New York: Routledge. New York: Routledge.
- Warren, A. M., Sulaiman, A., & Jaafar, N. I. (2014). Social media effects on fostering online civic engagement and building citizen trust and trust in institutions. Government Information Quarterly, 31(2), 291-301. https://doi.org/https://doi.org/10.1016/j.giq.2013.11.007 · DOI
- Weeks, B. E., Lane, D. S., Kim, D. H., Lee, S. S., & Kwak, N. (2017). Incidental Exposure, Selective Exposure, and Political Information Sharing: Integrating Online Exposure Patterns and Expression on Social Media. Journal of Computer-Mediated Communication, 22(6), 363-379. https://doi.org/10.1111/jcc4.12199 · DOI
- Westen, D., Blagov, P. S., Harenski, K., Kilts, C., & Hamann, S. (2006). Neural Bases of Motivated Reasoning: An fMRI Study of Emotional Constraints on Partisan Political Judgment in the 2004 U.S. Presidential Election. Journal of Cognitive Neuroscience, 18(11), 1947-1958. https://doi.org/10.1162/jocn.2006.18.11.1947 · DOI
- Zollo, F., Novak, P. K., Del Vicario, M., Bessi, A., Mozetič, I., Scala, A., … Quattrociocchi, W. (2015). Emotional Dynamics in the Age of Misinformation. PLOS ONE, 10(9), 1- 22. https://doi.org/10.1371/journal.pone.0138740 Appendix1 TableA1 about here TableA2 about here about here · DOI
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A systematic review of worldwide causal and correlational evidence on digital media and democracy
Lorenz-Spreen, P., Oswald, L., Lewandowsky, S., & Hertwig, R. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01460-1 · Cited by 348 · see citing works
Hartmann, D., Wang, S. M., Pohlmann, L., & Berendt, B. (2025) · Journal of Computational Social Science · doi:10.1007/s42001-025-00381-z · Cited by 59 · see citing works
- Authors
- Koivula, A., Kaakinen, M., Oksanen, A., & Räsänen, P.
- Venue
- Policy & Internet
- Publisher
- Wiley
- Published
- 2019-07-15
- Volume
- 11
- Issue
- 4
- Pages
- 396-417
- ISSN
- 1944-2866 (ISSN-L)
- OpenAlex
- W2957758886
- Cited by
- 34
- References
- 4
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 4 · 2023: 4 · 2022: 5 · 2021: 8 · 2020: 7
- FWCI
- 9.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.utupub.fi
- Locations
- Policy & Internet (publishedVersion)
- UTUPub (University of Turku) (submittedVersion)
- Tampere University Institutional Repository (Tampere University) (submittedVersion)
- 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
- online political activity, echo chambers, social media use, political participation, political preferences, political interest, information bubbles
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