PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent

Jiateng Liu, Lin Ai, Zizhou Liu, Payam Karisani, Zheng Hui, May Fung, Preslav Nakov, Julia Hirschberg, Heng Ji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Propaganda plays a critical role in shaping public opinion and fueling disinformation. While existing research primarily focuses on identifying propaganda techniques, it lacks the ability to capture the broader motives and the impacts of such content. To address these challenges, we introduce PropaInsight, a conceptual framework grounded in foundational social science research, which systematically dissects propaganda into techniques, arousal appeals, and underlying intent. PropaInsight offers a more granular understanding of how propaganda operates across different contexts. Additionally, we present PropaGaze, a novel dataset that combines human-annotated data with high-quality synthetic data generated through a meticulously designed pipeline. Our experiments show that off-the-shelf LLMs struggle with propaganda analysis, but training with PropaGaze significantly improves performance. Fine-tuned Llama-7B-Chat achieves 203.4% higher text span IoU in technique identification and 66.2% higher BertScore in appeal analysis compared to 1-shot GPT-4-Turbo. Moreover, PropaGaze complements limited human-annotated data in data-sparse and cross-domain scenarios, showing its potential for comprehensive and generalizable propaganda analysis.

Original languageEnglish (US)
Title of host publicationMain Conference
EditorsOwen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, Steven Schockaert
PublisherAssociation for Computational Linguistics (ACL)
Pages5607-5628
Number of pages22
ISBN (Electronic)9798891761964
StatePublished - 2025
Event31st International Conference on Computational Linguistics, COLING 2025 - Abu Dhabi, United Arab Emirates
Duration: Jan 19 2025Jan 24 2025

Publication series

NameProceedings - International Conference on Computational Linguistics, COLING
VolumePart F206484-1
ISSN (Print)2951-2093

Conference

Conference31st International Conference on Computational Linguistics, COLING 2025
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period1/19/251/24/25

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

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