A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformation
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| author | Leite, João A. Razuvayevskaya, Olesya Scarton, Carolina Bontcheva, Kalina |
| author_facet | Leite, João A. Razuvayevskaya, Olesya Scarton, Carolina Bontcheva, Kalina |
| contents | Disinformation, irrespective of domain or language, aims to deceive or manipulate public opinion, typically through employing advanced persuasion techniques. Qualitative and quantitative research on the weaponisation of persuasion techniques in disinformation has been mostly topic-specific (e.g., COVID-19) with limited cross-domain studies, resulting in a lack of comprehensive understanding of these strategies. This study employs a state-of-the-art persuasion technique classifier to conduct a large-scale, multi-domain analysis of the role of 16 persuasion techniques in disinformation narratives. It shows how different persuasion techniques are employed disproportionately in different disinformation domains. We also include a detailed case study on climate change disinformation, highlighting how linguistic, psychological, and cultural factors shape the adaptation of persuasion strategies to fit unique thematic contexts. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_15098 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformation Leite, João A. Razuvayevskaya, Olesya Scarton, Carolina Bontcheva, Kalina Computers and Society Artificial Intelligence Computation and Language Disinformation, irrespective of domain or language, aims to deceive or manipulate public opinion, typically through employing advanced persuasion techniques. Qualitative and quantitative research on the weaponisation of persuasion techniques in disinformation has been mostly topic-specific (e.g., COVID-19) with limited cross-domain studies, resulting in a lack of comprehensive understanding of these strategies. This study employs a state-of-the-art persuasion technique classifier to conduct a large-scale, multi-domain analysis of the role of 16 persuasion techniques in disinformation narratives. It shows how different persuasion techniques are employed disproportionately in different disinformation domains. We also include a detailed case study on climate change disinformation, highlighting how linguistic, psychological, and cultural factors shape the adaptation of persuasion strategies to fit unique thematic contexts. |
| title | A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformation |
| topic | Computers and Society Artificial Intelligence Computation and Language |
| url | https://arxiv.org/abs/2412.15098 |