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2023 EMNLP EMNLP 2023

Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study

Abstract

AbstractThis paper analyses two hitherto unstudied sites sharing state-backed disinformation, Reliable Recent News (rrn.world) and WarOnFakes (waronfakes.com), which publish content in Arabic, Chinese, English, French, German, and Spanish. We describe our content acquisition methodology and perform cross-site unsupervised topic clustering on the resulting multilingual dataset. We also perform linguistic and temporal analysis of the web page translations and topics over time, and investigate articles with false publication dates. We make publicly available this new dataset of 14,053 articles, annotated with each language version, and additional metadata such as links and images. The main contribution of this paper for the NLP community is in the novel dataset which enables studies of disinformation networks, and the training of NLP tools for disinformation detection.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Data Science & Analytics and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — state-backed propaganda
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Freddy Heppell , Kalina Bontcheva , Carolina Scarton

Topics

Machine Learning > Core Methods > Clustering Machine Learning > Learning Types > Unsupervised Learning Natural Language Processing > Applications > Text Classification Data Science & Analytics > Methods > Data Mining Artificial Intelligence > Core AI > Large Language Models

Keywords

multilingual nlp multilingual dataset linguistic analysis topic clustering disinformation detection propaganda analysis web scraping state-backed propaganda
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