Papers › Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the...
Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
Rong-Ching Chang, Chun-Ming Lai, Kai-Lai Chang, Chu-Hsing Lin
The digital media, identified as computational propaganda provides a pathway for propaganda to expand its reach without limit. State-backed propaganda aims to shape the audiences' cognition toward entities in favor of a certain political party or authority. Furthermore, it has become part of modern information warfare used in order to gain an advantage over opponents. Most of the current studies focus on using machine learning, quantitative, and qualitative methods to distinguish if a certain piece of information on social media is propaganda. Mainly conducted on English content, but very little research addresses Chinese Mandarin content. From propaganda detection, we want to go one step further to provide more fine-grained information on propaganda techniques that are applied. In this research, we aim to bridge the information gap by providing a multi-labeled propaganda techniques dataset in Mandarin based on a state-backed information operation dataset provided by Twitter. In addition to presenting the dataset, we apply a multi-label text classification using fine-tuned BERT. Potentially this could help future research in detecting state-backed propaganda online especially in a cross-lingual context and cross platforms identity consolidation.
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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Multi-Label Text Classification | Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China | Bert | 1:1 Accuracy | 0.80352 | #1 of 1 | Archive leaderboard | report |
| Multi-Label Text Classification | Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China | Bert | F1 - macro | 0.20803 | #1 of 1 | Archive leaderboard | report |
| Multi-Label Text Classification | Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China | Bert | Micro F1 | 0.85431 | #1 of 1 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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