IDEAS home Printed from https://ideas.repec.org/a/sae/amsocr/v88y2023i2p322-349.html
   My bibliography  Save this article

“Born for a Storm†: Hard-Right Social Media and Civil Unrest

Author

Listed:
  • Daniel Karell
  • Andrew Linke
  • Edward Holland
  • Edward Hendrickson

Abstract

Does activity on hard-right social media lead to hard-right civil unrest? If so, why? We created a spatial panel dataset comprising hard-right social media use and incidents of unrest across the United States from January 2020 through January 2021. Using spatial regression analyses with core-based statistical area (CBSA) and month fixed effects, we find that greater CBSA-level hard-right social media activity in a given month is associated with an increase in subsequent unrest. The results of robustness checks, placebo tests, alternative analytical approaches, and sensitivity analyses support this finding. To examine why hard-right social media activity predicts unrest, we draw on an original dataset of users’ shared content and status in the online community. Analyses of these data suggest that hard-right social media shift users’ perceptions of norms, increasing the likelihood they will participate in contentious events they once considered taboo. Our study sheds new light on social media’s offline effects, as well as the consequences of increasingly common hard-right platforms.

Suggested Citation

  • Daniel Karell & Andrew Linke & Edward Holland & Edward Hendrickson, 2023. "“Born for a Storm†: Hard-Right Social Media and Civil Unrest," American Sociological Review, , vol. 88(2), pages 322-349, April.
  • Handle: RePEc:sae:amsocr:v:88:y:2023:i:2:p:322-349
    DOI: 10.1177/00031224231156190
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/00031224231156190
    Download Restriction: no

    File URL: https://libkey.io/10.1177/00031224231156190?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    2. Leila Demarest & Arnim Langer, 2022. "How Events Enter (or Not) Data Sets: The Pitfalls and Guidelines of Using Newspapers in the Study of Conflict," Sociological Methods & Research, , vol. 51(2), pages 632-666, May.
    3. Heidi Schulze, 2020. "Who Uses Right-Wing Alternative Online Media? An Exploration of Audience Characteristics," Politics and Governance, Cogitatio Press, vol. 8(3), pages 6-18.
    4. Carlos Cinelli & Chad Hazlett, 2020. "Making sense of sensitivity: extending omitted variable bias," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(1), pages 39-67, February.
    5. Ro'ee Levy, 2021. "Social Media, News Consumption, and Polarization: Evidence from a Field Experiment," American Economic Review, American Economic Association, vol. 111(3), pages 831-870, March.
    6. James N. Druckman & Matthew S. Levendusky & Audrey McLain, 2018. "No Need to Watch: How the Effects of Partisan Media Can Spread via Interpersonal Discussions," American Journal of Political Science, John Wiley & Sons, vol. 62(1), pages 99-112, January.
    7. Robert M. Bond & Christopher J. Fariss & Jason J. Jones & Adam D. I. Kramer & Cameron Marlow & Jaime E. Settle & James H. Fowler, 2012. "A 61-million-person experiment in social influence and political mobilization," Nature, Nature, vol. 489(7415), pages 295-298, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2021. "The Effect of Social Media on Elections: Evidence from the United States," NBER Working Papers 28849, National Bureau of Economic Research, Inc.
    2. Jiménez Durán, Rafael & Muller, Karsten & Schwarz, Carlo, 2024. "The Effect of Content Moderation on Online and Offline Hate: Evidence from Germany’s NetzDG," CAGE Online Working Paper Series 701, Competitive Advantage in the Global Economy (CAGE).
    3. Huberty, Mark, 2015. "Can we vote with our tweet? On the perennial difficulty of election forecasting with social media," International Journal of Forecasting, Elsevier, vol. 31(3), pages 992-1007.
    4. Michele Coscia & Luca Rossi, 2022. "How minimizing conflicts could lead to polarization on social media: An agent-based model investigation," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-23, January.
    5. Thomas Fujiwara & Karsten Müller & Carlo Schwarz, 2021. "The Effect of Social Media on Elections: Evidence from the United States," NBER Working Papers 28849, National Bureau of Economic Research, Inc.
    6. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2020. "Measuring partisan media bias in US Newscasts from 2001-2012," Working Paper 183/2020, Helmut Schmidt University, Hamburg, revised 15 Nov 2022.
    7. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," CEBI working paper series 21-15, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    8. Ntentas, Raphael, 2021. "Quantifying political populism and examining the link with economic insecurity: evidence from Greece," LSE Research Online Documents on Economics 112579, London School of Economics and Political Science, LSE Library.
    9. Lamberova, Natalia, 2021. "The puzzling politics of R&D: Signaling competence through risky projects," Journal of Comparative Economics, Elsevier, vol. 49(3), pages 801-818.
    10. Lin, Annie E. & Young, Jimmy A. & Guarino, Jeannine E., 2022. "Mother-Daughter sexual abuse: An exploratory study of the experiences of survivors of MDSA using Reddit," Children and Youth Services Review, Elsevier, vol. 138(C).
    11. Rybinski, Krzysztof, 2020. "The forecasting power of the multi-language narrative of sell-side research: A machine learning evaluation," Finance Research Letters, Elsevier, vol. 34(C).
    12. Rauh, Christian, 2015. "Communicating supranational governance? The salience of EU affairs in the German Bundestag, 1991–2013," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 16(1), pages 116-138.
    13. Grajzl, Peter & Murrell, Peter, 2021. "A machine-learning history of English caselaw and legal ideas prior to the Industrial Revolution I: generating and interpreting the estimates," Journal of Institutional Economics, Cambridge University Press, vol. 17(1), pages 1-19, February.
    14. Johnen, Constantin & Musshoff, Oliver & Parlasca, Martin C., 2022. "Mobile Money Adoption in Kenya: The Role of Mobile Money Agents," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322294, Agricultural and Applied Economics Association.
    15. Johnson, Nathan & Turnbull, Benjamin & Reisslein, Martin, 2022. "Social media influence, trust, and conflict: An interview based study of leadership perceptions," Technology in Society, Elsevier, vol. 68(C).
    16. Heng Chen & Daniel F. Heitjan, 2022. "Analysis of local sensitivity to nonignorability with missing outcomes and predictors," Biometrics, The International Biometric Society, vol. 78(4), pages 1342-1352, December.
    17. Alan Gerber & Mitchell Hoffman & John Morgan & Collin Raymond, 2020. "One in a Million: Field Experiments on Perceived Closeness of the Election and Voter Turnout," American Economic Journal: Applied Economics, American Economic Association, vol. 12(3), pages 287-325, July.
    18. David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015. "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.
    19. Indra de Soysa, 2022. "Economic freedom vs. egalitarianism: An empirical test of weak & strong sustainability, 1970–2017," Kyklos, Wiley Blackwell, vol. 75(2), pages 236-268, May.
    20. Garz, Marcel & Maaß, Sabrina, 2021. "Cartels in the European Union, antitrust action, and public attention," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 533-547.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:amsocr:v:88:y:2023:i:2:p:322-349. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.