Impact of misinformation in the evolution of collective cooperation on networks

Author:

Meng Yao1ORCID,Broom Mark2,Li Aming13ORCID

Affiliation:

1. Center for Systems and Control, College of Engineering, Peking University, Beijing 100871, People’s Republic of China

2. Department of Mathematics, City, University of London, Northampton Square, London EC1V 0HB, UK

3. Center for Multi-Agent Research, Institute for Artificial Intelligence, Peking University, Beijing 100871, People’s Republic of China

Abstract

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.

Funder

National Key Research and Development Program of China

the European Union's Horizon 2020 research and innovation programme

National Natural Science Foundation of China

Beijing Nova Program

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

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