Platform Affordance / 平台可供性

Platform affordance is the set of actions a platform makes possible, easy, visible, or socially meaningful. In 164.算法的“兔子洞”：为什么你总在看完新闻后滑向娱乐？｜对谈黄圣淳教授, [[HuangShengchun|黄圣淳]] uses comments, likes, reposts, and podcast-comment areas to show that interface features are not neutral switches. They define relationships among users, creators, platforms, and information.

The concept helps bridge product design and media effects. A podcast platform with comments creates a different creator-listener relation from a podcast platform without them. A social platform where comments are more visible than likes can turn conflict into Algorithmic Anger Engagement, while autoplay and infinite scroll can lower the friction that would otherwise let a user stop.

Key Claims

• Platform features shape social relations before any single post is interpreted.
• The same content category behaves differently when comments, likes, reposts, recommendations, or autoplay are arranged differently.
• Affordances create the data that feeds Algorithmic Prediction Loop / 算法预判循环 and Platform Feedback Loop / 平台反馈循环.
• Users need Algorithmic Media Literacy / 算法媒介素养 because design makes some reactions feel natural and others costly.

Connections

• Platform Feedback Loop / 平台反馈循环 — downstream cycle created when affordances make feedback visible and measurable.
• 小宇宙, Xiaohongshu, and YouTube — source platform examples.
• Addictive Interaction Design and Attention Industrialization — interface designs that extend use beyond reflective intention.
• Algorithmic Entanglement / 算法与实践纠缠 — creator and user practices shaped by platform systems.