Research ArticleSOCIAL SCIENCES
Content-based features predict social media influence operations
- View ORCID ProfileMeysam Alizadeh1,*,
- View ORCID ProfileJacob N. Shapiro1,
- View ORCID ProfileCody Buntain2 and
- View ORCID ProfileJoshua A. Tucker3
- 1School of Public and International Affairs and Department of Politics, Princeton University, Princeton, NJ 08540, USA.
- 2Department of Informatics, New Jersey Institute of Technology, Newark, NJ 07102, USA.
- 3Department of Politics and Center for Social Media and Politics, New York University, New York, NY 10012, USA.
- ↵*Corresponding author. Email: alizadeh{at}princeton.edu
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Science Advances 22 Jul 2020:
Vol. 6, no. 30, eabb5824
DOI: 10.1126/sciadv.abb5824
Vol. 6, no. 30, eabb5824
DOI: 10.1126/sciadv.abb5824
Meysam Alizadeh
1School of Public and International Affairs and Department of Politics, Princeton University, Princeton, NJ 08540, USA.
Jacob N. Shapiro
1School of Public and International Affairs and Department of Politics, Princeton University, Princeton, NJ 08540, USA.
Cody Buntain
2Department of Informatics, New Jersey Institute of Technology, Newark, NJ 07102, USA.
Joshua A. Tucker
3Department of Politics and Center for Social Media and Politics, New York University, New York, NY 10012, USA.
