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Models of social influence: towards the next frontiers

Abstract : In 1997, Robert Axelrod wondered in a highly influential paper "If people tend to become more alike in their beliefs, attitudes, and behavior when they interact, why do not all such differences eventually disappear?" Axelrod’s question highlighted an ongoing quest for formal theoretical answers joined by researchers from a wide range of disciplines. Numerous models have been developed to understand why and under what conditions diversity in beliefs, attitudes and behavior can co-exist with the fact that very often in interactions, social influence reduces differences between people. Reviewing three prominent approaches, we discuss the theoretical ingredients that researchers added to classic models of social influence as well as their implications. Then, we propose two main frontiers for future research. First, there is urgent need for more theoretical work comparing, relating and integrating alternative models. Second, the field suffers from a strong imbalance between a proliferation of theoretical studies and a dearth of empirical work. More empirical work is needed testing and underpinning micro-level assumptions about social influence as well as macro-level predictions. In conclusion, we discuss major roadblocks that need to be overcome to achieve progress on each frontier. We also propose that a new generation of empirically-based computational social influence models can make unique contributions for understanding key societal challenges, like the possible effects of social media on societal polarization.
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Article dans une revue
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Déposant : Migration Irstea Publications <>
Soumis le : samedi 16 mai 2020 - 12:42:07
Dernière modification le : jeudi 8 octobre 2020 - 17:06:02

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A. Flache, Marine Mas, T. Feliciani, E. Chattoe-Brown, Guillaume Deffuant, et al.. Models of social influence: towards the next frontiers. Journal of Artificial Societies and Social Simulation, SimSoc Consortium, 2017, 20 (4(2)), pp.31. ⟨10.18564/jasss.3521⟩. ⟨hal-02606532⟩



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