Detecting and Characterizing Influence Campaigns from Document Parts

Influence campaigns are a coordinated and strategic effort to shape and manipulate the perceptions of a target audience, which cannot be reliably detected from a single document. A novel clustering-based pipeline is proposed to detect and characterize influence campaigns by clustering document parts, identifying high-influence clusters, and then classifying documents associated with these clusters.