February 04, 2026
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Study Finds No Broad TikTok Censorship of ICE and Epstein Content After U.S. Takeover

A new academic analysis of more than 100,000 TikTok videos finds no evidence that the app’s new U.S. owners — a consortium led by Oracle’s Larry Ellison — systematically throttled posts about ICE raids, Jeffrey Epstein, or the fatal shooting of Alex Pretti in Minneapolis, despite viral #TikTokCensorship claims and calls for investigations from Gov. Gavin Newsom and EU lawmakers. Published in Good Authority, the study shows views for political and non‑political content alike crashed to near zero during a documented data‑center outage and then rebounded, suggesting a technical failure rather than targeted political suppression. Researchers still warn that limited or 'shadowbanned' removals can’t be ruled out at small scale and note they had no access to private direct messages, where some users said the word 'Epstein' was briefly blocked. They also stress that TikTok, unlike X or Facebook, offers little structured data access for outside auditors and call on platforms to open their recommender systems to independent scrutiny so claims of political influence can be tested instead of litigated on social media. The findings undercut a popular narrative that Ellison immediately re‑tuned TikTok for Trump, but they highlight how secrecy around algorithms and outages continues to fuel public distrust.

Social Media Platforms and Censorship TikTok and U.S. Tech Policy

📌 Key Facts

  • Eight academics analyzed view metrics for more than 100,000 TikTok videos spanning political topics (ICE, Alex Pretti, Renee Good, 'Trump', 'Epstein') and non‑political content (food, Oscars).
  • They found that around a major TikTok server outage, views for all categories — political and non‑political — dropped to almost zero and then recovered together.
  • The researchers conclude publicly available data do not support claims of broad, top‑down political censorship tied to TikTok’s new U.S. ownership, while urging the company to grant third‑party access to study its recommender system.

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