重拾社交媒体中的社交属性

中文摘要 AI 辅助

针对极化、反社会行为和心理健康问题的担忧，目前对社交媒体主要有两种应对方式：通过内容审核和亲社会设计调整平台，以及通过年龄限制和类似措施限制对这些平台的访问。这两种方式都只解决社交媒体带来的后果，却未触动其注意力驱动的底层架构。我们认为，通常归咎于社交媒体的危害并非源于支持社交连接的技术本身，而是源于这些技术在注意力经济中的落地方式。对此，我们提出疑问：一个为真正的人际连接而构建的数字社交环境会是什么样的？基于目的性、一致性、透明性和可访问性四项原则，我们可以推导出实现这些原则的四项技术特性：运营者盲态（Operator Blindness）、算法主权（Algorithmic Sovereignty）、运营对等性（Operational Parity）和可验证性（Verifiability）。据我们所知，目前已部署的替代方案都无法同时满足这四项特性。我们提出了一种能满足全部要求的架构，它不仅能抑制注意力经济，更能从结构上使其无法存在。我们还阐释了由此产生的用户体验如何重新聚焦于每个用户的个体社交环境，以及它与当前平台的差异。

英文摘要

Concerns about polarization, antisocial behavior, and mental health have broadly led to two responses to social media: adapting platforms through moderation and prosocial design, and restricting access to these platforms through age limits and comparable measures. Both address consequences of social media while leaving the attention-driven architecture intact. We argue that the harms commonly attributed to social media arise not from technologies supporting social connection but from their implementation within the attention economy. In response, we ask what a digital social environment built for genuine human connection would look like. From four principles - Purpose, Alignment, Transparency, and Access - we can derive four technical properties that fulfill these principles: Operator Blindness, Algorithmic Sovereignty, Operational Parity, and Verifiability. To the best of our knowledge, no deployed alternative satisfies all four. We propose an architecture that does, making the attention economy not just discouraged but structurally impossible. We explain how the resulting user experience refocuses on each user's individual social environment and differs from that of current platforms.

发表机构

• Scent (in formation)（Scent（在形成中））
• Harvard University（哈佛大学）
• University of Cambridge（剑桥大学）
• Max Planck Institute for Human Development（马克斯·普朗克人类发展研究所）
• Stanford University（斯坦福大学）

机构由 AI 辅助整理，请以论文原文为准。

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7 pages, 1 figure