Mykola Makhortykh, Ani Baghumyan, Victoria Vziatysheva, Maryna Sydorova, Elizaveta Kuznetsova
{"title":"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","authors":"Mykola Makhortykh, Ani Baghumyan, Victoria Vziatysheva, Maryna Sydorova, Elizaveta Kuznetsova","doi":"arxiv-2409.10697","DOIUrl":null,"url":null,"abstract":"The rise of large language models (LLMs) has a significant impact on\ninformation warfare. By facilitating the production of content related to\ndisinformation and propaganda campaigns, LLMs can amplify different types of\ninformation operations and mislead online users. In our study, we empirically\ninvestigate how LLM-powered chatbots, developed by Google, Microsoft, and\nPerplexity, handle disinformation about Russia's war in Ukraine and whether the\nchatbots' ability to provide accurate information on the topic varies across\nlanguages and over time. Our findings indicate that while for some chatbots\n(Perplexity), there is a significant improvement in performance over time in\nseveral languages, for others (Gemini), the performance improves only in\nEnglish but deteriorates in low-resource languages.","PeriodicalId":501112,"journal":{"name":"arXiv - CS - Computers and Society","volume":"93 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LLMs as information warriors? Auditing how LLM-powered chatbots tackle disinformation about Russia's war in Ukraine\",\"authors\":\"Mykola Makhortykh, Ani Baghumyan, Victoria Vziatysheva, Maryna Sydorova, Elizaveta Kuznetsova\",\"doi\":\"arxiv-2409.10697\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rise of large language models (LLMs) has a significant impact on\\ninformation warfare. By facilitating the production of content related to\\ndisinformation and propaganda campaigns, LLMs can amplify different types of\\ninformation operations and mislead online users. In our study, we empirically\\ninvestigate how LLM-powered chatbots, developed by Google, Microsoft, and\\nPerplexity, handle disinformation about Russia's war in Ukraine and whether the\\nchatbots' ability to provide accurate information on the topic varies across\\nlanguages and over time. Our findings indicate that while for some chatbots\\n(Perplexity), there is a significant improvement in performance over time in\\nseveral languages, for others (Gemini), the performance improves only in\\nEnglish but deteriorates in low-resource languages.\",\"PeriodicalId\":501112,\"journal\":{\"name\":\"arXiv - CS - Computers and Society\",\"volume\":\"93 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Computers and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.10697\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computers and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.