A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data

• Lefteris Jason Anastasopoulos ,

  Contributed equally to this work with: Lefteris Jason Anastasopoulos, Jake Ryland Williams

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: ljanastas@uga.edu

  Affiliations Department of Public Administration and Policy, School of Public and International Affairs, University of Georgia, Athens, Georgia, United States of America, Department of Political Science, School of Public and International Affairs, University of Georgia, Athens, Georgia, United States of America, Institute for Artificial Intelligence, University of Georgia, Athens, Georgia, United States of America

  http://orcid.org/0000-0002-9116-9439

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• Jake Ryland Williams

  Contributed equally to this work with: Lefteris Jason Anastasopoulos, Jake Ryland Williams

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation College of Computing and Informatics. Drexel University, Philadelphia, Pennsylvania, United States of America

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