Visual Identities in Troll Farms: The Twitter Moderation Research Consortium

The Twitter Moderation Research Consortium is a database of network propaganda and influence operations that includes 115,474 unique Twitter accounts, millions of tweets, and over one terabyte of media removed from the platform between 2017-2022. We probe this database using Google’s Vision API and Keras with TensorFlow to test whether foreign influence operations can be identified based on the visual presentation of fake user profiles emphasizing gender, race, camera angle, sensuality, and emotion. Our results show that sensuality is a variable associated with operations that replicate the Kremlin-linked Internet Research Agency campaign, being particularly prevalent in influence operations that targeted communities in North and South America, but also in Indonesia, Turkey, and Pakistan. Our results also show that the visual identities of fake social media profiles are predictive of influence operations given their reliance on selfies, sensual young women, K-pop aesthetics, or alternatively nationalistic iconography overlaid with text to convey ideological positioning.