Effects of Deception in Social Networks

Honesty plays a crucial role in any situation where organisms exchange information or resources. Dishonesty can thus be expected to have damaging effects on social coherence if agents cannot trust the information or goods they receive. However, a distinction is often drawn between prosocial lies (‘white’ lies) and antisocial lying (i.e. deception for personal gain), with the former being considered much less destructive than the latter. We use an agent-based model to show that antisocial lying causes social networks to become increasingly fragmented. Antisocial dishonesty thus places strong constraints on the size and cohesion of social communities, providing a major hurdle that organisms have to overcome (e.g. by evolving counter-deception strategies) in order to evolve large, socially cohesive communities. In contrast, ‘white’ lies can prove to be beneficial in smoothing the flow of interactions and facilitating a larger, more integrated network. Our results demonstrate that these group-level effects can arise as emergent properties of interactions at the dyadic level. The balance between prosocial and antisocial lies may set constraints on the structure of social networks, and hence the shape of society as a whole.

💡 Research Summary

This paper delves into the impact of deception on social networks, distinguishing between prosocial lies (‘white’ lies) and antisocial lying (deception for personal gain). The authors use an agent-based model to demonstrate that antisocial lying leads to increased fragmentation in social networks. This form of dishonesty imposes strong constraints on the size and cohesion of social communities, acting as a significant barrier that organisms must overcome through evolving counter-deception strategies to achieve large, socially cohesive groups.

In contrast, ‘white’ lies can be beneficial by smoothing interactions and facilitating more integrated networks. The study highlights that these group-level effects emerge from dyadic interactions at an individual level. By examining the balance between prosocial and antisocial lies, the paper suggests constraints on social network structures and how this balance shapes society as a whole.

The research underscores the importance of honesty in information exchange and resource sharing among organisms. It reveals that while ‘white’ lies can enhance social cohesion by easing interactions, antisocial lying disrupts trust and leads to fragmented communities. This insight is crucial for understanding the evolution of social structures and the mechanisms that support large-scale cooperative behavior within societies.

The findings have implications not only in biological contexts but also in human social dynamics, suggesting that managing the balance between different types of lies can influence societal cohesion and structure.