'Lobster' Rampage, Xiaohongshu (小红书) Launches a 'Defense' Campaign

Xiaohongshu moves to protect "real sharing"

Xiaohongshu (小红书) has announced a strict ban on any use of technology to simulate real people, produce inauthentic content, or run fake interactions — and said it will immediately suspend accounts that register, post, or publicly present notes as AI‑managed. The move, reported by TMTPost, is a direct response to a burst of "Lobster" (龙虾) AI tools that Chinese tech giants have been rolling out: Baidu (百度) launched a mobile "Lobster" app, Alibaba (阿里) offered one‑click deployment, and it has been reported that Tencent (腾讯) founder Ma Huateng personally promoted a line of such products. Xiaohongshu’s crackdown frames the debate as one about community tone rather than purely about cost or automation.

Why the platform drew a line

For Xiaohongshu — whose core asset the company and users routinely describe as "real sharing" (真实分享) — the risk is structural. It has been reported that experiments with Lobster can automate end‑to‑end account operation: drafting copy, pairing images, and publishing at scale while mimicking other viral posts. If AI can industrialize posting, can a platform built on authentic user experience still function as a trusted discovery and influence marketplace? Xiaohongshu fears the erosion of that "live human" feel would undermine its ability to incubate brands, convert recommendations into commerce, and sustain monetization.

Bigger picture: governance, business and geopolitics

The challenge is not unique to Xiaohongshu. Community platforms from Weibo to Zhihu have seen how shifts in atmosphere—driven by scale, commercial pressure or automated content—can hollow out value. Industry observers say platforms now face rising governance costs as AI lowers the marginal cost of generating misleading or low‑quality content. Reportedly, the broader sprint to domestically deploy powerful AI tools is also shaped by geopolitics — U.S. export controls on advanced chips and an intensifying AI rivalry have pushed Chinese firms to accelerate in‑house AI stacks. So platforms must juggle content authenticity, advertiser demand and national tech strategy all at once.

What comes next?

Xiaohongshu’s ban is a clear first move: a defensive line meant to preserve authenticity rather than to outlaw AI wholesale. Experts and insiders suggest two pragmatic responses for content platforms — slow the pace of commercialization to reduce incentives for mass‑produced "soft ad" notes, and adapt recommendation algorithms to privilege verifiably human content over AI‑generated material. But can platforms reconcile growth targets with community trust? That tension will determine whether this is a temporary skirmish or the opening salvo in a long governance struggle over what counts as “real” content in the AI era.