IDEAS home Printed from https://ideas.repec.org/a/zbw/iprjir/254285.html
   My bibliography  Save this article

Systematic review: YouTube recommendations and problematic content

Author

Listed:
  • Yesilada, Muhsin
  • Lewandowsky, Stephan

Abstract

There has been much concern that social media, in particular YouTube, may facilitate radicalisation and polarisation of online audiences. This systematic review aimed to determine whether the YouTube recommender system facilitates pathways to problematic content such as extremist or radicalising material. The review conducted a narrative synthesis of the papers in this area. It assessed the eligibility of 1,187 studies and excluded studies using the PRISMA process for systematic reviews, leaving a final sample of 23 studies. Overall, 14 studies implicated the YouTube recommender system in facilitating problematic content pathways, seven produced mixed results, and two did not implicate the recommender system. The review's findings indicate that the YouTube recommender system could lead users to problematic content. However, due to limited access and an incomplete understanding of the YouTube recommender system, the models built by researchers might not reflect the actual mechanisms underlying the YouTube recommender system and pathways to problematic content.

Suggested Citation

  • Yesilada, Muhsin & Lewandowsky, Stephan, 2022. "Systematic review: YouTube recommendations and problematic content," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 11(1), pages 1-22.
    • Handle: RePEc:zbw:iprjir:254285
    DOI: 10.14763/2022.1.1652
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/254285/1/1801317593.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.14763/2022.1.1652?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. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    2. Hunt Allcott & Matthew Gentzkow & Chuan Yu, 2019. "Trends in the Diffusion of Misinformation on Social Media," NBER Working Papers 25500, National Bureau of Economic Research, Inc.
    3. Hunt Allcott & Luca Braghieri & Sarah Eichmeyer & Matthew Gentzkow, 2020. "The Welfare Effects of Social Media," American Economic Review, American Economic Association, vol. 110(3), pages 629-676, March.
    4. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    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. Söderlund, Kasia & Engström, Emma & Haresamudram, Kashyap & Larsson, Stefan & Strimling, Pontus, 2024. "Regulating high-reach AI: On transparency directions in the Digital Services Act," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 13(1), pages 1-31.

    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. Leopoldo Fergusson & Carlos Molina, 2020. "Facebook Causes Protests," HiCN Working Papers 323, Households in Conflict Network.
    2. Michele Cantarella & Nicolo' Fraccaroli & Roberto Volpe, 2019. "Does fake news affect voting behaviour?," Department of Economics 0146, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    3. Bartosz Wilczek, 2020. "Misinformation and herd behavior in media markets: A cross-national investigation of how tabloids’ attention to misinformation drives broadsheets’ attention to misinformation in political and business," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    4. McNamara, Trent & Mosquera, Roberto, 2024. "The political divide: The case of expectations and preferences," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 110(C).
    5. Larsen, Vegard H. & Thorsrud, Leif Anders & Zhulanova, Julia, 2021. "News-driven inflation expectations and information rigidities," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 507-520.
    6. Assenza, Tiziana, 2021. "The Ability to 'Distill the Truth'," TSE Working Papers 21-1280, Toulouse School of Economics (TSE), revised Mar 2022.
    7. Meng, Delong & Wang, Siyu, 2024. "Impact of open-mindedness on information avoidance: Tailored vs. generic communication," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 108(C).
    8. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    9. Pierluigi Conzo & Andrea Gallice & Juan S. Morales & Margaret Samahita & Laura K. Taylor, 2021. "Can Hearts Change Minds? Social media Endorsements and Policy Preferences," Carlo Alberto Notebooks 641, Collegio Carlo Alberto.
    10. Debra S. Dwyer & Rachel Kreier & Maria X. Sanmartin, 2020. "Technology Use: Too Much of a Good Thing?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(4), pages 475-489, December.
    11. Gianmarco Daniele & Andrea F.M. Martinangeli & Francesco Passarelli & Willem Sas & Lisa Windsteiger, 2023. "Externalities and the Erosion of Trust," CESifo Working Paper Series 10474, CESifo.
    12. Dr. Diala Edwin Lionel & Dr. Uzowuihe Bertha, 2024. "Visual Elements in Digital Technology Platforms and Visualized Communication in Spreading of False Information," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3s), pages 2118-2138, March.
    13. Andrew P. Weiss & Ahmed Alwan & Eric P. Garcia & Antranik T. Kirakosian, 2021. "Toward a Comprehensive Model of Fake News: A New Approach to Examine the Creation and Sharing of False Information," Societies, MDPI, vol. 11(3), pages 1-17, July.
    14. Roberto Mosquera & Mofioluwasademi Odunowo & Trent McNamara & Xiongfei Guo & Ragan Petrie, 2020. "The economic effects of Facebook," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 575-602, June.
    15. Geraci, Andrea & Nardotto, Mattia & Reggiani, Tommaso & Sabatini, Fabio, 2022. "Broadband Internet and social capital," Journal of Public Economics, Elsevier, vol. 206(C).
    16. Balart, Pau & Casas, Agustin & Troumpounis, Orestis, 2022. "Technological change, campaign spending and polarization," Journal of Public Economics, Elsevier, vol. 211(C).
    17. Shota Ichihashi & Byung-Cheol Kim, 2023. "Addictive Platforms," Management Science, INFORMS, vol. 69(2), pages 1127-1145, February.
    18. Marcel Caesmann & Janis Goldzycher & Matteo Grigoletto & Lorenz Gschwent, 2024. "Censorship in democracy," ECON - Working Papers 446, Department of Economics - University of Zurich.
    19. Raúl Rodríguez-Ferrándiz & Cande Sánchez-Olmos & Tatiana Hidalgo-Marí & Estela Saquete-Boro, 2021. "Memetics of Deception: Spreading Local Meme Hoaxes during COVID-19 1st Year," Future Internet, MDPI, vol. 13(6), pages 1-19, June.
    20. Garz, Marcel & Szucs, Ferenc, 2023. "Algorithmic selection and supply of political news on Facebook," Information Economics and Policy, Elsevier, vol. 62(C).

    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:254285. 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.