TikTok launches initiatives to combat AI-generated content and spam
Translated from English, summarized and contextualized by DistantNews.
At a glance
- TikTok is launching new initiatives to help users identify AI-generated content, partnering with educational organizations and researchers.
- The platform is also enhancing measures against AI-generated spam, having removed over 86 million fake accounts in the first quarter.
- TikTok has joined the C2PA to develop technical standards for content authenticity and has labeled over three billion videos for AI modification.
TikTok is bolstering its defenses against artificial intelligence by introducing a suite of initiatives designed to empower users in recognizing AI-generated content. The social media giant is collaborating with the News & Media Literacy Alliance (NAMLE) and deepfake expert Henry Ajder to create educational materials. These resources aim to demystify AI technologies and equip users with the skills to identify synthetic media.
Launched in November 2025, TikTok's AI literacy program has already garnered over 200 million views through content from partners like No Filtr and Raspberry Pi. The company has committed more than $4 million to this initiative and plans to extend its reach globally.
In parallel, TikTok is intensifying its efforts to combat AI-generated spam. While acknowledging AI's potential for creative expression, the platform recognizes its misuse for generating misleading or low-quality content. This year alone, TikTok removed over 86 million fake accounts under existing anti-spam policies. New detection systems are being tested to specifically target accounts primarily used for distributing AI-generated spam, with a focus on sensitive areas like politics, finance, and health.
Furthermore, TikTok has become a member of the Coalition for Content Provenance and Authenticity (C2PA) Steering Committee. This move signifies a commitment to developing industry-wide technical standards for identifying AI-generated and altered content. The platform has already applied labels to more than three billion videos using a combination of Content Credentials, creator-submitted tags, and invisible watermarking, aiding users in discerning AI-influenced content.
Originally published by Daily Star in English. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.