文化进化、虚假信息与社会分化

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Adaptive Behavior Pub Date : 2023-07-03 DOI:10.1177/10597123231186432
R. Bentley, Benjamin Horne, J. Borycz, S. Carrignon, Garriy Shteynberg, Blai Vidiella, S. Valverde, Michael J. O'Brien
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引用次数: 0

摘要

专业知识的多样性是文化进化所固有的。当它是透明的,人类知识的多样性是有用的;当社会一致性克服了这种透明度时,“专业知识”可能会导致分裂。今天尤其如此,社交媒体越来越允许错误信息传播,因为它优先考虑最近流行的内容,而不考虑有效性或普遍利益。在传统社会中,专业知识存在多样性,而当代社交媒体则促进了同质性,这将真正的学科专家相互隔离,并与更广泛的人群隔离开来。因此,知识的多样性变成了社会分化。在这里,我们讨论了为当代媒体中的无数选择而设计的文化进化框架的潜力。文化进化理论确定了决定通信网络是统一知识还是割裂知识的关键因素。我们的方法强调了两个参数:信息的透明度和社会一致性。通过识别表现出高人气偏见和低信息透明度的总体模式的在线空间,我们可以帮助定义数字通信中社会一致性和信息过载的“安全极限”。
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Cultural Evolution, Disinformation, and Social Division
Diversity of expertise is inherent to cultural evolution. When it is transparent, diversity of human knowledge is useful; when social conformity overcomes that transparency, “expertise” can lead to divisiveness. This is especially true today, where social media has increasingly allowed misinformation to spread by prioritizing what is recent and popular, regardless of validity or general benefit. Whereas in traditional societies there was diversity of expertise, contemporary social media facilitates homophily, which isolates true subject experts from each other and from the wider population. Diversity of knowledge thus becomes social division. Here, we discuss the potential of a cultural-evolutionary framework designed for the countless choices in contemporary media. Cultural-evolutionary theory identifies key factors that determine whether communication networks unify or fragment knowledge. Our approach highlights two parameters: transparency of information and social conformity. By identifying online spaces exhibiting aggregate patterns of high popularity bias and low transparency of information, we can help define the “safe limits” of social conformity and information overload in digital communications.
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来源期刊
Adaptive Behavior
Adaptive Behavior 工程技术-计算机:人工智能
CiteScore
4.30
自引率
18.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: _Adaptive Behavior_ publishes articles on adaptive behaviour in living organisms and autonomous artificial systems. The official journal of the _International Society of Adaptive Behavior_, _Adaptive Behavior_, addresses topics such as perception and motor control, embodied cognition, learning and evolution, neural mechanisms, artificial intelligence, behavioral sequences, motivation and emotion, characterization of environments, decision making, collective and social behavior, navigation, foraging, communication and signalling. Print ISSN: 1059-7123
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