Monday, July 13, 2026

News

TikTok Removed 86 Million Fake Accounts in Fight Against AI-Generated Spam

MarketPatryk Raba

TikTok announced it removed more than 86 million fake accounts in the first quarter of 2026 and unveiled new tools to detect accounts mass-posting AI-generated content.

Contents
  1. Scale of Account Removals
  2. Accounts Posing as Experts
  3. Labeling Instead of an Outright Ban
  4. What It Means for Creators and Users
  5. Wider Industry Context

TikTok admitted that the scale of AI-generated spam on the platform is growing fast enough that the company had to roll out new detection mechanisms. In an announcement dated July 10, 2026, the platform said it removed more than 86 million fake accounts in the first quarter of this year alone.

Scale of Account Removals

The 86 million figure covers spam broadly, not just profiles posting AI-made material, but TikTok explicitly ties the increase to how easily AI models can generate content. The company says spam-focused accounts are increasingly relying on automatically generated videos to build fake reach and dodge existing moderation filters.

We have long banned spam and use technology to detect and remove it at scale - in the first quarter of this year we removed more than 86 million fake accounts - TikTok, company statement

Accounts Posing as Experts

TikTok is particularly concerned about profiles publishing AI-generated content in categories where misinformation can cause real harm to viewers: health, politics, current events and financial advice. The company said it will test improved detection systems for accounts that mass-post this type of material before they can build an audience.

This is a response to growing criticism of so-called AI slop, the flood of low-quality automatically generated content that has in recent months become the subject of separate industry analyses showing that as many as half of the videos shown to new TikTok users may be created or substantially assisted by AI.

Labeling Instead of an Outright Ban

Rather than blocking AI-generated content outright, TikTok is betting on labeling transparency. Since launching the Content Credentials standard, the platform has tagged more than 3 billion videos, telling viewers that the material was made with the help of AI or substantially modified by it. The company is now joining the Steering Committee of the C2PA coalition, the organization developing the standard together with other platforms and hardware makers.

At the same time, TikTok is expanding an education program run with NAMLE and No Filtr, whose materials on recognizing AI content have been viewed more than 200 million times since November 2025. The company says it has committed more than $4 million to the effort.

What It Means for Creators and Users

For creators on TikTok, the announcement signals tighter scrutiny of accounts that post material in bulk without disclosing its origin. Analyses cited alongside the announcement indicate that accounts labeling their content as AIGC are removed far less often than profiles posting unlabeled, satirical or misleading deepfakes, which could in practice reward creators who apply labels according to the rules.

For everyday users, the issue mainly comes down to trust in what they see in their feed. As more accounts produce health- or finance-related content using generative models alone, the risk of encountering misleading advice is growing faster than platforms' ability to catch it in real time.

Wider Industry Context

TikTok's decision fits into a broader trend among major platforms, which in recent months have introduced mandatory labeling of AI-generated content, including in advertising. The difference this time is that the focus isn't on individual pieces of content but on entire accounts operating as content farms, which requires a different moderation approach than simply labeling individual videos.

The company did not disclose how many of the 86 million removed accounts were directly linked to AI-generated content, or what share of the platform such accounts represent. The lack of this data makes it hard to assess whether the scale of the problem is growing faster than the effectiveness of the new detection tools, which TikTok has only announced and not yet fully deployed.

Sources: TikTok Newsroom (newsroom.tiktok.com), Tabletowo (tabletowo.pl)

Share: