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Social media and the public interest: Governance of news platforms in the realm of individual and algorithmic gatekeepers

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  • Napoli, Philip M.

Abstract

This article seeks to identify the basic contours of how the notion of the public interest is taking shape in the realm of social media. Drawing upon social media governance discourse and research on the dynamics of how social media platforms are being used in the dissemination and consumption of news and information, this article argues that a restrictive and individualist model of the public interest characterizes the social media space. This article then considers the broader implications of this emergent model of the public interest in social media governance.

Suggested Citation

  • Napoli, Philip M., 2015. "Social media and the public interest: Governance of news platforms in the realm of individual and algorithmic gatekeepers," Telecommunications Policy, Elsevier, vol. 39(9), pages 751-760.
    • Handle: RePEc:eee:telpol:v:39:y:2015:i:9:p:751-760
    DOI: 10.1016/j.telpol.2014.12.003
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    References listed on IDEAS

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    Cited by:

    1. She, Chaoyuan & Michelon, Giovanna, 2019. "Managing stakeholder perceptions: Organized hypocrisy in CSR disclosures on Facebook," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 61(C), pages 54-76.
    2. Matthew Tenney & Renee Sieber, 2016. "Data-Driven Participation: Algorithms, Cities, Citizens, and Corporate Control," Urban Planning, Cogitatio Press, vol. 1(2), pages 101-113.
    3. Rosa Vicari & Nadejda Komendatova, 2023. "Systematic meta-analysis of research on AI tools to deal with misinformation on social media during natural and anthropogenic hazards and disasters," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    4. Rieder, Bernhard & Hofmann, Jeanette, 2020. "Towards platform observability," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 9(4), pages 1-28.
    5. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    6. Haenschen, Katherine & Wolf, Jordan, 2019. "Disclaiming responsibility: How platforms deadlocked the Federal Election Commission's efforts to regulate digital political advertising," Telecommunications Policy, Elsevier, vol. 43(8), pages 1-1.
    7. 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.
    8. Liudmila Sivetc & Mariëlle Wijermars, 2021. "The Vulnerabilities of Trusted Notifier-Models in Russia: The Case of Netoscope," Media and Communication, Cogitatio Press, vol. 9(4), pages 27-38.
    9. Cheng, Kuo-Tai, 2016. "Test of the mediating effects of regulatory decision tools in the communications regulator," Telecommunications Policy, Elsevier, vol. 40(2), pages 277-289.
    10. Lee, Changjun & Hwang, Junseok, 2018. "The influence of giant platform on content diversity," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 157-165.
    11. Cheng, John W. & Mitomo, Hitoshi & Otsuka, Tokio & Jeon, Stefan Y., 2015. "Media’s Effects on People’s Perceptions and Intentions in Post-Disaster Recovery – a Case Study of the Great East Japan Earthquake," 26th European Regional ITS Conference, Madrid 2015 127133, International Telecommunications Society (ITS).

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