法学硕士是信息战士?审核由 LLM 驱动的聊天机器人如何处理有关俄罗斯乌克兰战争的虚假信息

Mykola Makhortykh, Ani Baghumyan, Victoria Vziatysheva, Maryna Sydorova, Elizaveta Kuznetsova
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摘要

大型语言模型(LLM)的兴起对信息战产生了重大影响。通过促进制作与虚假信息和宣传活动相关的内容,LLMs 可以放大不同类型的信息行动并误导在线用户。在我们的研究中,我们实证调查了由谷歌、微软和Perplexity开发的由LLM驱动的聊天机器人是如何处理有关俄罗斯在乌克兰战争的虚假信息的,以及这些聊天机器人提供有关该主题的准确信息的能力是否因语言和时间而异。我们的研究结果表明,对于某些聊天机器人(Perplexity)来说,随着时间的推移,其在多种语言中的表现都有显著提高,而对于其他聊天机器人(Gemini)来说,只有在英语中的表现有所提高,而在低资源语言中的表现则有所下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LLMs as information warriors? Auditing how LLM-powered chatbots tackle disinformation about Russia's war in Ukraine
The rise of large language models (LLMs) has a significant impact on information warfare. By facilitating the production of content related to disinformation and propaganda campaigns, LLMs can amplify different types of information operations and mislead online users. In our study, we empirically investigate how LLM-powered chatbots, developed by Google, Microsoft, and Perplexity, handle disinformation about Russia's war in Ukraine and whether the chatbots' ability to provide accurate information on the topic varies across languages and over time. Our findings indicate that while for some chatbots (Perplexity), there is a significant improvement in performance over time in several languages, for others (Gemini), the performance improves only in English but deteriorates in low-resource languages.
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