Visual Classifier

A comprehensive project that integrates social media analysis, panel survey data, and behavioral trace data to examine how online content mainstreams political violence and undermines election integrity in events with political tension. This initiative aims to understand the mechanisms through which digital platforms influence political behaviors and perceptions, ultimately impacting democratic processes.


  • Meme Content Analysis: Classification and Diffusion of Memes in Fringe Social
    • Summary: This project focuses on the classification and diffusion of memes within fringe social platforms, analyzing the content and spread of memes related to extremism and radicalization.
    • Highlights:
      • Meme content classification
      • Diffusion analysis in fringe platforms
      • Impact on radicalization
    • Start Date: 2022
    • End Date: 2023
    • Funding Agency: The Global Network on Extremism and Technology (GNET)
Visual clustering output from partisan platforms categorizing memes (under review).