Process / pipeline

Propaganda Detection — Propaganda and Manipulation Detection

Propaganda detection is a natural-language-processing task that automatically identifies and labels persuasion and manipulation techniques in text — such as loaded language, oversimplified solutions, bandwagon appeals, and glittering generalities. It builds on the fine-grained propaganda analysis introduced by Da San Martino et al. (2019), turning rhetorical manipulation into structured, technique-level labels.

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Sources

  1. Da San Martino, G. et al. (2019). Fine-Grained Analysis of Propaganda in News Articles. EMNLP. DOI: 10.18653/v1/D19-1565
  2. Rashkin, H. et al. (2017). Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. EMNLP. DOI: 10.18653/v1/D17-1317

Related methods

ScholarGatePropaganda Detection (Propaganda and Manipulation Detection). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/propaganda-detection