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An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning
November 26, 2022 ยท Declared Dead ยท ๐ AAAI Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad
arXiv ID
2211.17108
Category
cs.CL: Computation & Language
Citations
8
Venue
AAAI Conference on Artificial Intelligence
Last Checked
5 months ago
Abstract
Recent works on fake news detection have shown the efficacy of using emotions as a feature for improved performance. However, the cross-domain impact of emotion-guided features for fake news detection still remains an open problem. In this work, we propose an emotion-guided, domain-adaptive, multi-task approach for cross-domain fake news detection, proving the efficacy of emotion-guided models in cross-domain settings for various datasets.
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