Content-based features predict social media influence operations

We study how easy it is to distinguish influence operations from organic social media activity by assessing the performance of a platform-agnostic machine learning approach. Our method uses public activity to detect content that is part of coordinated influence operations based on human-interpretabl...

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Detalles Bibliográficos
Autores principales: Alizadeh, Meysam, Shapiro, Jacob N., Buntain, Cody, Tucker, Joshua A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439640/
https://www.ncbi.nlm.nih.gov/pubmed/32832674
http://dx.doi.org/10.1126/sciadv.abb5824

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439640/
https://www.ncbi.nlm.nih.gov/pubmed/32832674
http://dx.doi.org/10.1126/sciadv.abb5824

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