Journal article

Detecting suicide ideation in the era of social media : the population neuroscience perspective

  • Morese, Rosalba ORCID Faculty of Biomedical Sciences, Università della Svizzera italiana, Lugano, Switzerland - Facoltà di comunicazione, cultura e società, Università della Svizzera italiana, Svizzera
  • Gruebner, Oliver ORCID Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zürich, Switzerland - Department of Geography, University of Zurich, Zürich, Switzerland
  • Sykora, Martin ORCID Centre for Information Management (CIM), School of Business and Economics, Loughborough University, Loughborough, United Kingdom
  • Elayan, Suzanne ORCID Centre for Information Management (CIM), School of Business and Economics, Loughborough University, Loughborough, United Kingdom
  • Fadda, Marta ORCID Faculty of Biomedical Sciences, Università della Svizzera italiana, Switzerland
  • Albanese, Emiliano ORCID Faculty of Biomedical Sciences, Università della Svizzera italiana, Switzerland
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  • 2022
Published in:
  • Frontiers in psychiatry. - 2022, vol. 13, p. 652167
English Social media platforms are increasingly used across many population groups not only to communicate and consume information, but also to express symptoms of psychological distress and suicidal thoughts. The detection of suicidal ideation (SI) can contribute to suicide prevention. Twitter data suggesting SI have been associated with negative emotions (e.g., shame, sadness) and a number of geographical and ecological variables (e.g., geographic location, environmental stress). Other important research contributions on SI come from studies in neuroscience. To date, very few research studies have been conducted that combine different disciplines (epidemiology, health geography, neurosciences, psychology, and social media big data science), to build innovative research directions on this topic. This article aims to offer a new interdisciplinary perspective, that is, a Population Neuroscience perspective on SI in order to highlight new ways in which multiple scientific fields interact to successfully investigate emotions and stress in social media to detect SI in the population. We argue that a Population Neuroscience perspective may help to better understand the mechanisms underpinning SI and to promote more effective strategies to prevent suicide timely and at scale.
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Language
  • English
Classification
Medicine
License
CC BY
Open access status
gold
Identifiers
Persistent URL
https://susi.usi.ch/usi/documents/322805
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