Year: 2024
Type: conference-paper
Abstract: This approach enhances fake news detection by combining augmented prompt methodologies on LLMs with the power of Knowledge Graphs (KGs). Augmented prompts involve refining and expanding queries to capture the context and nuances of news content more effectively. When integrated with KGs, which provide structured information and relationships between entities, this method improves the accuracy of identifying misinformation. KGs offer a rich, contextual backdrop that helps the system discern between real and fake news by validating facts against a vast network of interconnected data. The result is a more robust, context-aware fake news detection system.
Authors: QUDUS, UMAIR, Ngonga Ngomo, Axel-Cyrille, Röder, Michael
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6948061938
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