IDEAS home Printed from https://ideas.repec.org/a/zbw/iprjir/225653.html
   My bibliography  Save this article

Reddit quarantined: Can changing platform affordances reduce hateful material online?

Author

Listed:
  • Copland, Simon

Abstract

This paper studies the efficacy of the Reddit's quarantine, increasingly implemented in the platform as a means of restricting and reducing misogynistic and other hateful material. Using the case studies of r/TheRedPill and r/Braincels, the paper argues the quarantine successfully cordoned off affected subreddits and associated hateful material from the rest of the platform. It did not, however, reduce the levels of hateful material within the affected spaces. Instead many users reacted by leaving Reddit for less regulated spaces, with Reddit making this hateful material someone else's problem. The paper argues therefore that the success of the quarantine as a policy response is mixed.

Suggested Citation

  • Copland, Simon, 2020. "Reddit quarantined: Can changing platform affordances reduce hateful material online?," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 9(4), pages 1-26.
  • Handle: RePEc:zbw:iprjir:225653
    DOI: 10.14763/2020.4.1516
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/225653/1/1736492578.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.14763/2020.4.1516?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. Zuiderveen Borgesius, Frederik J. & Trilling, Damian & Möller, Judith & Bodó, Balázs & de Vreese, Claes H. & Helberger, Natali, 2016. "Should we worry about filter bubbles?," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 5(1), pages 1-16.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Whittaker, Joe & Looney, Seán & Reed, Alastair & Votta, Fabio, 2021. "Recommender systems and the amplification of extremist content," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(2), pages 1-29.
    2. Mezei, Péter & Verteș-Olteanu, Andreea, 2020. "Editorial: From trust in the system to trust in the content," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 9(4), pages 1-28.
    3. Griffin, Rachel, 2022. "New school speech regulation as a regulatory strategy against hate speech on social media: The case of Germany's NetzDG," Telecommunications Policy, Elsevier, vol. 46(9).

    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. Theodora A. Maniou & Andreas Veglis, 2020. "Employing a Chatbot for News Dissemination during Crisis: Design, Implementation and Evaluation," Future Internet, MDPI, vol. 12(7), pages 1-14, June.
    2. Guohui Song & Yongbin Wang, 2021. "Mainstream Value Information Push Strategy on Chinese Aggregation News Platform: Evolution, Modelling and Analysis," Sustainability, MDPI, vol. 13(19), pages 1-17, October.
    3. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    4. Budzinski, Oliver & Gänßle, Sophia & Lindstädt-Dreusicke, Nadine, 2021. "Data (r)evolution - The economics of algorithmic search and recommender services," Ilmenau Economics Discussion Papers 148, Ilmenau University of Technology, Institute of Economics.
    5. Herzog, Bodo, 2019. "Optimal policy under uncertainty and rational inattention," Research in International Business and Finance, Elsevier, vol. 50(C), pages 444-449.
    6. Thomas E. Powell & Toni G. L. A. van der Meer & Carlos Brenes Peralta, 2019. "Picture Power? The Contribution of Visuals and Text to Partisan Selective Exposure," Media and Communication, Cogitatio Press, vol. 7(3), pages 12-31.
    7. Kris Hartley & Minh Khuong Vu, 2020. "Fighting fake news in the COVID-19 era: policy insights from an equilibrium model," Policy Sciences, Springer;Society of Policy Sciences, vol. 53(4), pages 735-758, December.
    8. König Pascal D., 2020. "Why Digital-Era Political Marketing is Not the Death Knell for Democracy: On the Importance of Placing Political Microtargeting in the Context of Party Competition," Statistics, Politics and Policy, De Gruyter, vol. 11(1), pages 87-110, June.
    9. Pelletier, Mark J. & Horky, Alisha Blakeney & Fox, Alexa K., 2021. "Fexit: The effect of political and promotional communication from friends and family on Facebook exiting intentions," Journal of Business Research, Elsevier, vol. 122(C), pages 321-334.
    10. Sætra, Henrik Skaug, 2019. "The tyranny of perceived opinion: Freedom and information in the era of big data," Technology in Society, Elsevier, vol. 59(C).
    11. Huw C Davies, 2018. "Redefining Filter Bubbles as (Escapable) Socio-Technical Recursion," Sociological Research Online, , vol. 23(3), pages 637-654, September.
    12. Sarah Eskens, 2020. "The personal information sphere: An integral approach to privacy and related information and communication rights," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(9), pages 1116-1128, September.
    13. Anna Gerbrandy, 2019. "Rethinking Competition Law within the European Economic Constitution," Journal of Common Market Studies, Wiley Blackwell, vol. 57(1), pages 127-142, January.
    14. Kim, Jungkeun & Kim, Jeong Hyun & Kim, Changju & Park, Jooyoung, 2023. "Decisions with ChatGPT: Reexamining choice overload in ChatGPT recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    15. Irion, Kristina & Helberger, Natali, 2017. "Smart TV and the online media sector: User privacy in view of changing market realities," Telecommunications Policy, Elsevier, vol. 41(3), pages 170-184.
    16. Rui Qiao & Cong Liu & Jun Xu, 2024. "Making algorithmic app use a virtuous cycle: Influence of user gratification and fatigue on algorithmic app dependence," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    17. Annelien Smets & Jorre Vannieuwenhuyze & Pieter Ballon, 2022. "Serendipity in the city: User evaluations of urban recommender systems," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(1), pages 19-30, January.
    18. Thiel, Thorsten, 2017. "Digitalisierung als Kontext politischen Handelns. Republikanische Perspektiven auf die digitale Transformation der Gegenwart," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 189-215.
    19. Noskova, Victoriia, 2021. "Voice assistants as gatekeepers for consumption? How information intermediaries shape competition," Ilmenau Economics Discussion Papers 161, Ilmenau University of Technology, Institute of Economics.
    20. Kim, Jiwhan & Nam, Changi, 2019. "Analyzing continuance intention of recommendation algorithms," 30th European Regional ITS Conference, Helsinki 2019 205190, International Telecommunications Society (ITS).

    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:zbw:iprjir:225653. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://policyreview.info/ .

    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.