信息架构:理解社会技术系统的框架。

npj Complexity Pub Date : 2025-01-01 Epub Date: 2025-04-17 DOI:10.1038/s44260-025-00037-z
Paul E Smaldino, Adam Russell, Matthew R Zefferman, Judith Donath, Jacob G Foster, Douglas Guilbeault, Martin Hilbert, Elizabeth A Hobson, Kristina Lerman, Helena Miton, Cody Moser, Jana Lasser, Sonja Schmer-Galunder, Jacob N Shapiro, Qiankun Zhong, Dan Patt
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引用次数: 0

摘要

几个世纪以来的一系列技术发明大大降低了生产和传播信息的成本。由于社会建立在信息的基础之上,这些变化深刻地影响了我们的生活、工作和互动方式。本文探讨了信息架构(IAs)的本质——控制信息如何在人群中流动的特征。信息基础设施包括物理和数字基础设施、规范和制度,以及过滤、生产和传播信息的算法技术。IAs可以强化社会偏见,导致亲社会结果以及社会弊病。随着人类的使用,ai在文化上迅速发展,为社会互动的动态创造了新的便利和新的问题。我们探讨了国际投资机构变化引发的社会结果,并呼吁加强对国际投资机构复杂性增加的社会影响的理解,国际投资机构之间竞争的性质,以及创建有益使用国际投资机构的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information architectures: a framework for understanding socio-technical systems.

A sequence of technological inventions over several centuries has dramatically lowered the cost of producing and distributing information. Because societies ride on a substrate of information, these changes have profoundly impacted how we live, work, and interact. This paper explores the nature of information architectures (IAs)-the features that govern how information flows within human populations. IAs include physical and digital infrastructures, norms and institutions, and algorithmic technologies for filtering, producing, and disseminating information. IAs can reinforce societal biases and lead to prosocial outcomes as well as social ills. IAs have culturally evolved rapidly with human usage, creating new affordances and new problems for the dynamics of social interaction. We explore societal outcomes instigated by shifts in IAs and call for an enhanced understanding of the social implications of increasing IA complexity, the nature of competition among IAs, and the creation of mechanisms for the beneficial use of IAs.

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