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British Journal of Psychology
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://doi.org/10.21203/rs.3....
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://doi.org/10.31234/osf.i...
Article . 2023 . Peer-reviewed
License: CC BY
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Artificial intelligence chatbots mimic human collective behaviour

Authors: James Kunling He; Felix Patrick Sedgwick Wallis; Andrés Gvirtz; Steve Rathje;

Artificial intelligence chatbots mimic human collective behaviour

Abstract

Abstract Artificial Intelligence (AI) chatbots, such as ChatGPT, have been shown to mimic individual human behaviour in a wide range of psychological and economic tasks. Do groups of AI chatbots also mimic collective behaviour? If so, artificial societies of AI chatbots may aid social scientific research by simulating human collectives. To investigate this theoretical possibility, we focus on whether AI chatbots natively mimic one commonly observed collective behaviour: homophily , people's tendency to form communities with similar others. In a large simulated online society of AI chatbots powered by large language models ( N = 33,299), we find that communities form over time around bots using a common language. In addition, among chatbots that predominantly use English ( N = 17,746), communities emerge around bots that post similar content. These initial empirical findings suggest that AI chatbots mimic homophily, a key aspect of human collective behaviour. Thus, in addition to simulating individual human behaviour, AI‐powered artificial societies may advance social science research by allowing researchers to simulate nuanced aspects of collective behaviour.

Keywords

Social and Personality Psychology, Community, Engineering Psychology, Social and Behavioral Sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
hybrid