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Algorithmic recommendation issues highlighted: CAC supervises Douyin, Xiaohongshu for optimization, adjustments

China
2025.05.22 20:30
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Wechat
Weibo
The CAC has pushed leading platforms, including Douyin, Xiaohongshu (Little Red Book), Weibo, Kuaishou, and WeChat Video Channels, to overhaul their recommendation algorithms and enhance transparency. (CAC)

China's cyberspace regulator has stepped up efforts to rein in algorithmic risks on major social platforms, targeting issues such as the amplification of lowbrow content, the creation of information cocoons, and the polarization of online discourse.

Under the ongoing Clear and Bright – Governance of Algorithmic Issues on Online Platforms campaign, the Cyberspace Administration of China (CAC) has pushed leading platforms, including Douyin, Xiaohongshu (Little Red Book), Weibo, Kuaishou, and WeChat Video Channels, to overhaul their recommendation algorithms and enhance transparency.

Platforms have responded by signing a collective pledge in Nanning, rolling out features like "cocoon risk assessments" and "one-click escape" tools to help users break free from algorithmic echo chambers. Douyin, for instance, launched a "Security and Trust Center" website to publicly explain its recommendation logic, while Weibo now discloses detailed rules behind its trending topics, including "heat tags" that reveal factors driving content popularity. WeChat Video Channels published user-friendly guides like "Understanding Our Algorithm" to demystify its systems, and Xiaohongshu introduced a "Content Diversity Explorer" to broaden recommendations beyond users' habitual preferences.

To tackle the entrenched issue of "information cocoons," platforms are experimenting with innovative solutions. Kuaishou has prioritized "positive energy" content—such as uplifting or socially beneficial material—in its algorithms, while Douyin upgraded its "Content Preference Manager" to visually map users' browsing patterns, allowing real-time adjustments. Xiaohongshu and Weibo now let users flag unwanted content with options like "Not Interested" or "Block Creator," refining recommendations based on feedback.

Despite progress, challenges remain. A CAC spokesperson acknowledged that some anti-"cocoon" tools lack noticeable impact, and recommended that content still falls short of public expectations. Critics argue that profit-driven engagement models and inherent algorithmic biases remain deeply rooted. The regulator pledged to enforce long-term oversight, urging platforms to innovate "diverse escape routes" from filter bubbles, elevate content quality, and expand user controls over algorithmic feeds.

The campaign reflects growing government scrutiny of Big Tech's role in shaping online discourse, amid rising public frustration over algorithms that trap users in divisive or trivialized content loops. While platforms have made strides in transparency, the effectiveness of these measures in fostering a healthier digital ecosystem will depend on sustained enforcement and user engagement.

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Tag:·Cyberspace Administration of China·collective pledge·Douyin·profit-driven engagement models·public frustration

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