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Disinformation Capabilities of Large Language Models
Feb. 26, 2024, 5:49 a.m. | Ivan Vykopal, Mat\'u\v{s} Pikuliak, Ivan Srba, Robert Moro, Dominik Macko, Maria Bielikova
cs.CL updates on arXiv.org arxiv.org
Abstract: Automated disinformation generation is often listed as an important risk associated with large language models (LLMs). The theoretical ability to flood the information space with disinformation content might have dramatic consequences for societies around the world. This paper presents a comprehensive study of the disinformation capabilities of the current generation of LLMs to generate false news articles in the English language. In our study, we evaluated the capabilities of 10 LLMs using 20 disinformation narratives. …
abstract arxiv automated capabilities consequences cs.cl current disinformation flood information language language models large language large language models llms paper risk space study the information type world
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