IDEAS home Printed from https://ideas.repec.org/a/spr/comaot/v31y2025i3d10.1007_s10588-024-09390-1.html
   My bibliography  Save this article

The “chanification” of white supremacist extremism

Author

Listed:
  • Michael Miller Yoder

    (Carnegie Mellon University
    University of Pittsburgh)

  • David West Brown

    (Carnegie Mellon University)

  • Kathleen M. Carley

    (Carnegie Mellon University)

Abstract

Much research has focused on the role of the alt-right in pushing far-right narratives into mainstream discourse. In this work, we focus on the alt-right’s effects on extremist narratives themselves. From 2012 to 2017, we find a rise in alt-right, 4chan-like discourse styles across multiple communication platforms known for white supremacist extremism, such as Stormfront. This discourse style incorporates inflammatory insults, irreverent comments, and talk about memes and online “chan” culture itself. A network analysis of one far-right extremist platform suggests that central users adopt and spread this alt-right style. This analysis has implications for understanding influence and change in online white supremacist extremism, as well as the role of style in white supremacist communications. Warning: This paper contains examples of hateful and offensive language.

Suggested Citation

  • Michael Miller Yoder & David West Brown & Kathleen M. Carley, 2025. "The “chanification” of white supremacist extremism," Computational and Mathematical Organization Theory, Springer, vol. 31(3), pages 222-235, September.
  • Handle: RePEc:spr:comaot:v:31:y:2025:i:3:d:10.1007_s10588-024-09390-1
    DOI: 10.1007/s10588-024-09390-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10588-024-09390-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10588-024-09390-1?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Margaret E. Roberts & Brandon M. Stewart & Dustin Tingley & Christopher Lucas & Jetson Leder‐Luis & Shana Kushner Gadarian & Bethany Albertson & David G. Rand, 2014. "Structural Topic Models for Open‐Ended Survey Responses," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 1064-1082, October.
    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. Everett, Jeff & Shiraz Rahaman, Abu & Neu, Dean & Saxton, Gregory, 2024. "Letters to the editor, institutional experimentation, and the public accounting professional," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 99(C).
    2. Minchul Lee & Min Song, 2020. "Incorporating citation impact into analysis of research trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1191-1224, August.
    3. Emanuele Campiglio & Jérôme Deyris & Davide Romelli & Ginevra Scalisi, 2025. "Warning words in a warming world: central bank communication and climate change," Working Papers hal-04978072, HAL.
    4. Marcel Fratzscher & Tobias Heidland & Lukas Menkhoff & Lucio Sarno & Maik Schmeling, 2023. "Foreign Exchange Intervention: A New Database," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(4), pages 852-884, December.
    5. Li Tang & Jennifer Kuzma & Xi Zhang & Xinyu Song & Yin Li & Hongxu Liu & Guangyuan Hu, 2023. "Synthetic biology and governance research in China: a 40-year evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5293-5310, September.
    6. Kübler, Raoul V. & Manke, Kai & Pauwels, Koen, 2025. "I like, I share, I vote: Mapping the dynamic system of political marketing," Journal of Business Research, Elsevier, vol. 186(C).
    7. Savin, Ivan & Drews, Stefan & van den Bergh, Jeroen, 2021. "Free associations of citizens and scientists with economic and green growth: A computational-linguistics analysis," Ecological Economics, Elsevier, vol. 180(C).
    8. Vishnu Baburajan & Jo~ao de Abreu e Silva & Francisco Camara Pereira, 2022. "Open vs Closed-ended questions in attitudinal surveys -- comparing, combining, and interpreting using natural language processing," Papers 2205.01317, arXiv.org.
    9. Valérie Mignon & Celso Brunetti & Marc Joëts, 2023. "Reasons Behind Words: OPEC Narratives and the Oil Market," EconomiX Working Papers 2023-24, University of Paris Nanterre, EconomiX.
    10. Ferrara, Federico M. & Masciandaro, Donato & Moschella, Manuela & Romelli, Davide, 2022. "Political voice on monetary policy: Evidence from the parliamentary hearings of the European Central Bank," European Journal of Political Economy, Elsevier, vol. 74(C).
    11. Camilla Salvatore & Silvia Biffignandi & Annamaria Bianchi, 2022. "Corporate Social Responsibility Activities Through Twitter: From Topic Model Analysis to Indexes Measuring Communication Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1217-1248, December.
    12. Wang, Shangrui & Zhang, Yuanmeng & Xiao, Yiming & Liang, Zheng, 2025. "Artificial intelligence policy frameworks in China, the European Union and the United States: An analysis based on structure topic model," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    13. Alex Luscombe & Kevin Dick & Kevin Walby, 2022. "Algorithmic thinking in the public interest: navigating technical, legal, and ethical hurdles to web scraping in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1023-1044, June.
    14. Andreas Rehs, 2020. "A structural topic model approach to scientific reorientation of economics and chemistry after German reunification," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1229-1251, November.
    15. Dehler-Holland, Joris & Okoh, Marvin & Keles, Dogan, 2022. "Assessing technology legitimacy with topic models and sentiment analysis – The case of wind power in Germany," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    16. Laura Battaglia & Timothy M. Christensen & Stephen Hansen & Szymon Sacher, 2024. "Inference for regression with variables generated from unstructured data," CeMMAP working papers 10/24, Institute for Fiscal Studies.
    17. Ulrich Fritsche & Johannes Puckelwald, 2018. "Deciphering Professional Forecasters’ Stories - Analyzing a Corpus of Textual Predictions for the German Economy," Macroeconomics and Finance Series 201804, University of Hamburg, Department of Socioeconomics.
    18. Beatrice Ferrario & Stefanie Stantcheva, 2022. "Eliciting People's First-Order Concerns: Text Analysis of Open-Ended Survey Questions," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 163-169, May.
    19. J. Ignacio Conde-Ruiz & Juan José Ganuza & Manu Garcia & Luis A. Puch, 2021. "Gender distribution across topics in Top 5 economics journals: A machine learning approach," Economics Working Papers 1771, Department of Economics and Business, Universitat Pompeu Fabra.
    20. Seraphine F. Maerz & Carsten Q. Schneider, 2020. "Comparing public communication in democracies and autocracies: automated text analyses of speeches by heads of government," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(2), pages 517-545, April.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:comaot:v:31:y:2025:i:3:d:10.1007_s10588-024-09390-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.