Papers by Baohua Zhang
Modeling Evolution of Message Interaction for Rumor Resolution (2020.coling-main)
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| Challenge: | Existing methods for rumor resolution ignore local interactions during the message diffusion which is important for the identification of rumors. |
| Approach: | They propose to model confrontation and reciprocity between message pairs via discrete variational autoencoders which effectively reflects the diversified opinion interactivity. |
| Outcome: | Experiments on a PHEME dataset show that the proposed model achieves higher accuracy than existing methods. |
PsyAttention: Psychological Attention Model for Personality Detection (2023.findings-emnlp)
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| Challenge: | Personality detection has incorporated psychological features from different personality models, such as the BigFive and MBTI. |
| Approach: | They propose to use psychological models to encode personality features to reduce their number by 85%. |
| Outcome: | The proposed model outperforms state-of-the-art methods on the BigFive and MBTI models and achieves average accuracy of 65.66% and 86.30%, respectively. |
A Progressive Framework for Role-Aware Rumor Resolution (2022.coling-1)
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| Challenge: | Existing methods for rumor resolution ignore intrinsic propagation mechanisms of rumors and present poor adaptive ability when unprecedented news emerges. |
| Approach: | They propose to identify triggering posts and exploit their characteristics to facilitate rumor verification. |
| Outcome: | The proposed model and scheme exploits rumor diffusion patterns and linguistic features to facilitate verification. |