Research in HCI has shown a growing interest in unethical design practices across numerous domains, often referred to as ``dark patterns''. There is, however, a gap in related literature regarding social networking services (SNSs). In this context, studies emphasise a lack of users' self-determination regarding control over personal data and time spent on SNSs. We collected over 16 hours of screen recordings from Facebook's, Instagram's, TikTok's, and Twitter's mobile applications to understand how dark patterns manifest in these SNSs. For this task, we turned towards HCI experts to mitigate possible difficulties of non-expert participants in recognising dark patterns, as prior studies have noticed. Supported by the recordings, two authors of this paper conducted a thematic analysis based on previously described taxonomies, manually classifying the recorded material while delivering two key findings: We observed which instances occur in SNSs and identified two strategies - engaging and governing - with five dark patterns undiscovered before.

翻译：人机交互领域的研究已日益关注多个领域中被称为“暗黑模式”的非伦理设计实践。然而，在社交网络服务（SNSs）相关文献中仍存在研究空白。在此背景下，现有研究强调用户在个人数据控制权和SNS使用时长方面缺乏自主决定权。我们收集了Facebook、Instagram、TikTok和Twitter移动应用超过16小时的屏幕录制内容，以探究暗黑模式在这些SNS中的表现特征。鉴于先前研究指出的非专业参与者识别暗黑模式的困难，本研究邀请人机交互领域专家参与分析。基于录制的素材，本文两位作者依据既有分类体系进行主题分析，通过人工分类录制材料得出两项关键结论：我们观察到SNS中出现的具体暗黑模式实例，并识别出两种策略——参与策略与治理策略——同时发现了此前未被记载的五种暗黑模式。