构建商议式数字媒体:从颠覆到共识。

IF 2.2 Q2 MULTIDISCIPLINARY SCIENCES PNAS nexus Pub Date : 2024-10-15 eCollection Date: 2024-10-01 DOI:10.1093/pnasnexus/pgae407
Alex Pentland, Lily Tsai
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引用次数: 0

摘要

以证据为基础、以人为本的数字媒体平台设计可以减少许多困扰社会和个体组织的错误信息、两极分化和激励机制错位等问题。有了这些设计上的改变,就有可能建立起既有助于讨论有争议的问题,又有助于实现成功的集体行动的议事性数字媒体。在这篇视角论文中,我们将讨论几个问题,当今的社会科学指出了这些问题的根源,并提出了改进方法。最后,我们分析了一个流行的商议民主平台,以说明社会科学如何能够设计出适合民主商议的下一代数字媒体,以及生成式人工智能在其中可能发挥的作用。
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Toward building deliberative digital media: from subversion to consensus.

Evidence-based and human-centric design of digital media platforms could reduce many of the problems of misinformation, polarization, and misaligned incentives that plague both society and individual organizations. With these sorts of design changes, it may become possible to build deliberative digital media that are useful both for discussions of contentious issues and for achieving successful collective action. In this Perspective paper, we discuss several issues in which current-day social science indicates the origin of these problems and suggests methods for improvement. Finally, we analyze a popular deliberative democracy platform to illustrate how social science might enable design of next-generation digital media suitable for democratic deliberation, and in which generative artificial intelligence might be useful.

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