THE IMPACT OF TIKTOK POLICIES ON INFORMATION FLOWS DURING TIMES OF WAR: EVIDENCE OF ‘SPLINTERNET’ AND ‘SHADOW-PROMOTION’ IN RUSSIA

Authors

  • Salvatore Romano AI Forensics, Europe
  • Natalie Kerby AI Forensics, University of Amsterdam
  • Miazia Schüler AI Forensics, University of Amsterdam
  • Davide Beraldo University of Amsterdam
  • Ilir Rama University of Milano

DOI:

https://doi.org/10.5210/spir.v2023i0.13487

Abstract

This research discusses how TikTok’s adaptation to Russian war censorship laws after the invasion of Ukraine affected content accessibility and prioritization on the platform. The study uses a combination of scraping and sock-puppet algorithmic audits to understand the impact of platform policy on information flows during times of war. The first test found that TikTok restricted access to non-Russian content in Russia, resulting in a 95% reduction of available content in the country. The second test revealed that TikTok unevenly applied its content policies, allowing pro-war content to proliferate in Russia despite its claim of enforcing a ban on new content uploads in the country. The third test highlighted a case of “shadow-promotion,” i.e., the prioritization of content supposed to be banned. The study's findings emphasize the need to monitor the platform's policy decisions during times of conflict, as they can contribute to the creation of a 'Splinternet.' The study also underscores the significant power that social media companies wield in shaping information flows during times of war and highlights the need to closely monitor platform policy decisions during such times. The article also provides recommendations for implementing the DSA in the EU context, which could help avoid problems such as those encountered while monitoring the platform in Russia.

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Published

2023-12-31

How to Cite

Romano, . S. ., Kerby, N., Schüler, M., Beraldo, D., & Rama, I. (2023). THE IMPACT OF TIKTOK POLICIES ON INFORMATION FLOWS DURING TIMES OF WAR: EVIDENCE OF ‘SPLINTERNET’ AND ‘SHADOW-PROMOTION’ IN RUSSIA. AoIR Selected Papers of Internet Research. https://doi.org/10.5210/spir.v2023i0.13487

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Papers R