Center for Systems and Control, College of Engineering, Peking University, Beijing 100871, People's Republic of China.
Department of Mathematics, City, University of London, Northampton Square, London EC1V 0HB, UK.
J R Soc Interface. 2023 Sep;20(206):20230295. doi: 10.1098/rsif.2023.0295. Epub 2023 Sep 27.
Human societies are organized and developed through collective cooperative behaviours. Based on the information in their environment, individuals can form collective cooperation by strategically changing unfavourable surroundings and imitating superior behaviours. However, facing the rampant proliferation and spreading of misinformation, we still lack systematic investigations into the impact of misinformation on the evolution of collective cooperation. Here, we study this problem by classical evolutionary game theory. We find that the existence of misinformation generally impedes the emergence of collective cooperation on networks, although the level of cooperation is slightly higher for weak social cooperative dilemma below a proven threshold. We further show that this possible advantage diminishes as social connections become denser, suggesting that the detrimental effect of misinformation further increases when 'social viscosity' is low. Our results uncover the quantitative effect of misinformation on suppressing collective cooperation, and pave the way for designing possible mechanisms to improve collective cooperation.
人类社会是通过集体合作行为组织和发展起来的。个体可以通过策略性地改变不利环境和模仿优秀行为,从环境信息中形成集体合作。然而,面对错误信息的猖獗传播和扩散,我们仍然缺乏对错误信息对集体合作进化影响的系统研究。在这里,我们通过经典的进化博弈论来研究这个问题。我们发现,错误信息的存在通常会阻碍网络上集体合作的出现,尽管在低于一个已证明阈值的弱社会合作困境下,合作水平略有提高。我们进一步表明,随着社会联系的日益紧密,这种可能的优势会减小,这表明当“社会粘性”较低时,错误信息的不利影响会进一步增加。我们的研究结果揭示了错误信息对抑制集体合作的定量影响,为设计可能的机制以提高集体合作铺平了道路。