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arXiv · 2211.17108

An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning

Arkajyoti Chakraborty·Inder Khatri·Arjun Choudhry·Pankaj Gupta·Dinesh Kumar Vishwakarma·Mukesh Prasad
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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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Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad. 2022-11-26. An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning. https://arxiv.org/abs/2211.17108

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