跨领域分析16种说服技巧在假信息中的使用差异。
A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformation
- 用先进分类器分析多领域假信息中的说服技巧分布。
- 不同领域使用技巧比例差异显著，如气候议题侧重特定心理策略。
- 揭示语言、心理与文化如何影响说服策略的本地化适配。
假信息无论领域或语言，均旨在欺骗或操纵公众舆论，通常借助高级说服技巧。现有研究多局限于特定主题（如新冠疫情），缺乏跨领域综合分析，导致对这些策略理解不全面。本研究采用先进的说服技巧分类器，对16种说服技巧在多领域假信息叙事中的作用进行大规模分析。结果表明，不同领域中说服技巧的使用存在显著差异。研究还以气候变化假信息为例，深入探讨语言、心理和文化因素如何塑造说服策略在特定主题语境下的适应性调整。
原文摘要 · Abstract (English)
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.
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