Ontology highlight
ABSTRACT:
SUBMITTER: Alizadeh M
PROVIDER: S-EPMC7439640 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Alizadeh Meysam M Shapiro Jacob N JN Buntain Cody C Tucker Joshua A JA
Science advances 20200722 30
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-interpretable features derived solely from content. We test this method on publicly available Twitter data on Chinese, Russian, and Venezuelan troll activity targeting the United States, as well as the Reddit dat ...[more]