ChestyBot: Detecting and Disrupting Chinese Communist Party Influence Stratagems
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909612175785984 |
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| author | Stoffolano, Matthew Rout, Ayush Pelletier, Justin M. |
| author_facet | Stoffolano, Matthew Rout, Ayush Pelletier, Justin M. |
| contents | Foreign information operations conducted by Russian and Chinese actors exploit the United States' permissive information environment. These campaigns threaten democratic institutions and the broader Westphalian model. Yet, existing detection and mitigation strategies often fail to identify active information campaigns in real time. This paper introduces ChestyBot, a pragmatics-based language model that detects unlabeled foreign malign influence tweets with up to 98.34% accuracy. The model supports a novel framework to disrupt foreign influence operations in their formative stages. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_10746 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ChestyBot: Detecting and Disrupting Chinese Communist Party Influence Stratagems Stoffolano, Matthew Rout, Ayush Pelletier, Justin M. Computers and Society Artificial Intelligence Cryptography and Security Social and Information Networks Foreign information operations conducted by Russian and Chinese actors exploit the United States' permissive information environment. These campaigns threaten democratic institutions and the broader Westphalian model. Yet, existing detection and mitigation strategies often fail to identify active information campaigns in real time. This paper introduces ChestyBot, a pragmatics-based language model that detects unlabeled foreign malign influence tweets with up to 98.34% accuracy. The model supports a novel framework to disrupt foreign influence operations in their formative stages. |
| title | ChestyBot: Detecting and Disrupting Chinese Communist Party Influence Stratagems |
| topic | Computers and Society Artificial Intelligence Cryptography and Security Social and Information Networks |
| url | https://arxiv.org/abs/2505.10746 |