剖析TikTok搜索推荐的治理难题与研究挑战
TikTok Search Recommendations: Governance and Research Challenges
- 分析平台如何生成并管理预设搜索词推荐
- 指出当前透明度不足，难以追踪不当推荐来源
- 呼吁开放数据与文档以支持独立研究
TikTok正将自身定位为搜索引擎，通过预设搜索查询推荐引导用户发现内容。然而，平台在《欧盟数字服务法》等监管要求下仍缺乏对搜索推荐生成与审核机制的透明度。其声称仅聚合视频评论与常见搜索行为，以此规避责任，却可能引发上下文敏感的不当推荐问题，重燃对平台责任与内容治理的争议。本文提出该功能的独特性，揭示其在平台治理中的挑战，并基于初步定性分析，构建计算研究议程，强调需提升平台文档透明度、开放数据访问，以支持对搜索推荐机制的独立研究。
原文摘要 · Abstract (English)
Like other social media, TikTok is embracing its use as a search engine, developing search products to steer users to produce searchable content and engage in content discovery. Their recently developed product search recommendations are preformulated search queries recommended to users on videos. However, TikTok provides limited transparency about how search recommendations are generated and moderated, despite requirements under regulatory frameworks like the European Union's Digital Services Act. By suggesting that the platform simply aggregates comments and common searches linked to videos, it sidesteps responsibility and issues that arise from contextually problematic recommendations, reigniting long-standing concerns about platform liability and moderation. This position paper addresses the novelty of search recommendations on TikTok by highlighting the challenges that this feature poses for platform governance and offering a computational research agenda, drawing on preliminary qualitative analysis. It sets out the need for transparency in platform documentation, data access and research to study search recommendations.
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