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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/155307

Title:	LLM Agent for Disinformation Detection Based on DISARM Framework
Authors:	沈錳坤 Shan, Man-Kwan;Tseng, Kevin
Contributors:	資訊系
Date:	2024-06
Issue Date:	2025-01-23
Abstract:	The rise of AI-generated disinformation driven by large language models (LLMs) exacerbates threats to information trust and democracy. Motivated by the need for efficient detection, this paper integrates the DISARM framework with LLMs to enhance capabilities. The proposed OSINT LLM Agent leverages DISARM's structure and LLMs' reasoning for an effective, adaptable solution against disinformation campaigns. Experiments using real-world cases demonstrate feasibility and effectiveness, highlighting DISARM-LLM integration's potential for advanced detection.
Relation:	International AAAI Conference on Web and Social Media Workshop: Digital State Sponsored Disinformation and Propaganda, AAAI
Data Type:	conference
DOI 連結:	https://doi.org/10.36190/2024.68
DOI:	10.36190/2024.68
Appears in Collections:	[資訊科學系] 會議論文

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