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Filtered States: Active Inference, Social Media and Mental Health

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1524))

Abstract

Social media is implicated today in an array of mental health concerns. While worries around social media have become mainstream, little is known about the specific cognitive mechanisms underlying the correlations seen in these studies, or why we find it so hard to stop engaging with these platforms when things obviously begin to deteriorate for us. New advances in computational neuroscience are now perfectly poised to shed light on this matter. In this paper we approach these concerns around social media and mental health issues, including the troubling rise in Snapchat surgeries, depression and addiction, through the lens of the Active Inference Framework (AIF).

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Acknowledgments

Mark Miller carried out this work with the support of Horizon 2020 European Union ERC Advanced Grant XSPECT - DLV-692739.

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Authors and Affiliations

  1. University of Sussex, Brighton, UK

    Ben White

  2. Center for Human Nature, Artificial Intelligence and Neuroscience, Hokkaido University, Sapporo, Japan

    Mark Miller

  3. Center for Consciousness and Contemplative Studies, Monash University, Melbourne, Australia

    Mark Miller

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  1. Ben White
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Correspondence to Mark Miller .

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Editors and Affiliations

  1. IKIM, Ruhr-University Bochum, Bochum, Germany

    Michael Kamp

  2. University of Sydney, Sydney, NSW, Australia

    Irena Koprinska

  3. University of Namur, Namur, Belgium

    Adrien Bibal

  4. University of Rennes 1, Rennes, France

    Tassadit Bouadi

  5. University of Namur, Namur, Belgium

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  6. Inria, Rennes, France

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  7. University of Antwerp, Antwerp, Belgium

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  8. Ruhr University Bochum, Bochum, Germany

    Linara Adilova

  9. Royal Holloway University of London, Egham, UK

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  10. Ghent University, Ghent, Belgium

    Bo Kang

  11. Université Jean Monnet, Saint-Etienne cedex 2, France

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  12. Ghent University, Gent, Belgium

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  13. Telecom Paris, Paris, France

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  14. University of Bonn, Bonn, Germany

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  15. Norwegian Univesity of Science and Technology, Trondheim, Norway

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  16. BI Norwegian Business School, Oslo, Norway

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White, B., Miller, M. (2021). Filtered States: Active Inference, Social Media and Mental Health. In: Kamp, M., et al. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2021. Communications in Computer and Information Science, vol 1524. Springer, Cham. https://doi.org/10.1007/978-3-030-93736-2_54

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  • DOI: https://doi.org/10.1007/978-3-030-93736-2_54

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  • Online ISBN: 978-3-030-93736-2

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