Improving Cross-domain, Cross-lingual and Multi-modal Deception Detection (2022.acl-srw)
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| Challenge: | Deception detection is a deliberate choice to mislead to gain some advantage or avoid some penalty. |
| Approach: | They propose to use inter-domain distance to identify suitable source domain for a given target domain to improve cross-domain deception classification and to better understand multi-modal deception detection. |
| Outcome: | The proposed methods will be able to detect deception in cross-domain, cross-lingual and multi-modal settings and will improve multi-modular deception classification. |
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