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

Lefteris Jason Anastasopoulos; Jake Ryland Williams

doi:10.1371/journal.pone.0212834

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Open Access

Peer-reviewed

Research Article

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
⨯

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

Lefteris Jason Anastasopoulos,
Jake Ryland Williams

Published: March 19, 2019
https://doi.org/10.1371/journal.pone.0212834

About the Authors

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

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

Competing Interests

The authors have declared that no competing interests exist.

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Social media
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Machine learning
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Computer software
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Sociology of knowledge
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Police
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