Human social sensing is an untapped resource for computational social science

Human social sensing is an untapped resource for computational social science
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DOI:
10.1038/s41586-021-03649-2
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发表时间:
2021-06-30
期刊:
影响因子:
64.8
通讯作者:
van Der Does, Tamara
van Der Does, Tamara
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Galesic, Mirta;de Bruin, Wandi Bruine;van Der Does, Tamara

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“感知”社会环境的能力,从而理解他人的思想和行为,使人类能够融入他们的社会世界,沟通和合作,并从他人的经验中学习。在这里,我们认为,通过计算社会科学的透镜,这种能力可以用来推进人类社会性的研究。当被战略性地选择来代表特定的感兴趣人群时,人类社会传感器可以帮助描述和预测社会趋势。此外,他们关于自己如何体验社会世界的报告有助于建立受人类社会系统经验现实约束的社会动力学模型。
The ability to 'sense' the social environment and thereby to understand the thoughts and actions of others allows humans to fit into their social worlds, communicate and cooperate, and learn from others' experiences. Here we argue that, through the lens of computational social science, this ability can be used to advance research into human sociality. When strategically selected to represent a specific population of interest, human social sensors can help to describe and predict societal trends. In addition, their reports of how they experience their social worlds can help to build models of social dynamics that are constrained by the empirical reality of human social systems.