A computational reward learning account of social media engagement

Despite the popularity of social media, the psychological processes that drive people to engage in it remain poorly understood. The authors applied a computational modeling approach to data from multiple social media platforms to show that engagement can be explained by mechanisms of reward learning...

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Autores principales: Björn Lindström, Martin Bellander, David T. Schultner, Allen Chang, Philippe N. Tobler, David M. Amodio
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/8a9f6b55e37d46949b9a11029d3dd191
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Sumario:Despite the popularity of social media, the psychological processes that drive people to engage in it remain poorly understood. The authors applied a computational modeling approach to data from multiple social media platforms to show that engagement can be explained by mechanisms of reward learning.