Clustering Document Parts: Detecting and Characterizing Influence Campaigns From Documents

arXiv:2402.17151v1 Announce Type: new
Abstract: We propose a novel clustering pipeline to detect and characterize influence campaigns from documents. This approach clusters parts of document, detects clusters that likely reflect an influence campaign, and then identifies documents linked to an influence campaign via their association with the high-influence clusters. Our approach outperforms both the direct document-level classification and the direct document-level clustering approach in predicting if a document is part of an influence campaign. We propose various novel techniques to …

abstract arxiv association campaign campaigns clustering cs.cl document documents influence novel pipeline type via