TikTok is testing a new slider that lets people control how much AI‑generated content appears in their feeds. The company announced the test on November 19 and will roll it out through the existing Manage topics feature in the coming weeks. The slider works like other topic controls, so users can tune their feeds to match their interests.
User Choice & Feed Personalization
The slider lets users increase or decrease exposure to AI videos. If you enjoy AI‑generated history clips, you can opt to see more of them. If you prefer fewer AI videos, you can dial them down. TikTok says the setting helps people tailor the variety in their feed rather than remove content entirely. The change responds to the growing number of AI videos on the platform and to user demand for more control.
TikTok is also expanding labeling and testing invisible watermarking to identify realistic AI content. The company uses creator labels, its own detection models, and C2PA Content Credentials to embed metadata that flags AI media. TikTok reports it has labeled over 1.3 billion videos so far. It will apply watermarks to content made with its tools, including AI Editor Pro, and to uploads that carry C2PA credentials. These steps aim to make AI content easier to spot and to give viewers more context about how videos were made. The move follows similar launches from Meta, Google, and OpenAI, which introduced new AI video tools in September.
AI Literacy & Creator Support
TikTok is funding public education about AI as well. The company announced a $2 million AI literacy fund to support experts and groups such as GirlsWhoCode. It also pledged to sponsor the Partnership on AI and to join steering committees that study AI’s social effects. For creators, TikTok rolled out a global bulletin board on November 13 for accounts with 50,000 or more followers to share updates and connect with fans.
TikTok’s combined approach gives users more control, boosts transparency, and supports education. The slider offers a simple way to manage AIGC exposure, while labeling, watermarking, and funding aim to help people and creators navigate the rise of AI video.
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