Xiaohongshu authenticity crackdown chilling creators

This is the cost of being a trust based ad platform, Xiaohongshu has to keep tightening the rules even when that makes posting feel riskier and slower. The app makes money when users treat notes like real product advice from real people, not like ad copy or bot sludge, so fake personas, fake reviews, and unlabeled AI content strike at the center of the business. That is why content policing has become a product function, not just a compliance task.

• Xiaohongshu said it removed 3.2M fake notes, 10K fake persona accounts, and 600K low quality AI generated notes in H1 2025. Those numbers are large enough to show this is not edge case cleanup, it is industrial scale moderation against behavior that can flood discovery feeds and search results.
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• The platform is especially exposed because users come for shopping intent and search, then often buy elsewhere. If a skincare review or travel note looks manipulated, Xiaohongshu can lose the user trust that lets it sell ads to brands while influencing purchases on Tmall, Taobao, and offline channels.
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• This is a common tradeoff in user generated media, Reddit has long faced advertiser pressure around unsafe content, while ByteDance built growth by making creation easy and supply abundant. Xiaohongshu sits between those models, it needs enough friction to protect authenticity, but not so much that creators stop posting useful notes.
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The next phase is tighter identity, provenance, and distribution control inside the feed. Xiaohongshu is moving toward a system where every note carries a stronger trust signal, and creators who can prove real experience will become more valuable to brands, users, and the algorithm than high volume accounts that merely produce content cheaply.