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indsigt - Fake News Detection Framework
Evolving to the Future: Fake News Detection on Social Media
The author introduces the FADE framework for fake news detection, emphasizing robustness and generalizability in detecting fake news from unseen events on social media.
DPOD: Domain-Specific Prompt Tuning for Multimodal Fake News Detection
The author proposes the DPOD framework to address the challenge of detecting fake news using out-of-context images by leveraging domain-specific prompt tuning and out-of-domain data.
Unveiling the Truth: Retrieval-Augmented LLMs for Fake News Detection
Large Language Models with retrieval augmentation enhance fake news detection by strategically extracting evidence from the web.
FakeWatch Y: Detecting Fake News for Credible Elections
Introducing FakeWatch Y, a framework to detect fake news and ensure the integrity of electoral processes.
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