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1000
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Abstract/Summary
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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.
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1000
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Hinweis
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Original note on funding: This work is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme (Marie Skłodowska-Curie, No. 860801), the German Federal Ministry of Education and Research (BMBF) within the project NEBULA (13N16364), KIAM (02L19C115), and COLIDE (01IS21005D), the Ministry of Culture and Science of North Rhine-Westphalia (MKW NRW) within the project SAIL (NW21-059D).
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