A machine learning approach to detect potentially harmful and protective suicide-related content in broadcast media

• Hannah Metzler ,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: metzler@csh.ac.at

  Affiliations Section for Science of Complex Systems, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria, Unit Public Mental Health Research, Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, Vienna, Austria, Complexity Science Hub, Vienna, Austria, Institute for Globally Distributed Open Research and Education, Austria

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• Hubert Baginski,

  Roles Formal analysis, Investigation, Methodology, Writing – review & editing

  Affiliations Complexity Science Hub, Vienna, Austria, Institute of Information Systems Engineering, Vienna University of Technology, Vienna, Austria

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• David Garcia,

  Roles Conceptualization, Funding acquisition, Supervision

  Affiliations Section for Science of Complex Systems, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria, Complexity Science Hub, Vienna, Austria, Department of Politics and Public Administration, University of Konstanz, Konstanz, Germany, Institute of Interactive Systems and Data Science, Department of Computer Science and Biomedical Engineering, Graz University of Technology, Graz, Austria

  https://orcid.org/0000-0002-2820-9151

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• Thomas Niederkrotenthaler

  Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

  Affiliations Unit Public Mental Health Research, Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, Vienna, Austria, Wiener Werkstaette for Suicide Research, Vienna, Austria

  https://orcid.org/0000-0001-9550-628X

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