Papers with FTT
Learn over Past, Evolve for Future: Forecasting Temporal Trends for Fake News Detection (2023.acl-industry)
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| Challenge: | Existing work on fake news detection does not consider the temporal shift issue caused by the rapidly-evolving nature of news data. |
| Approach: | They propose a framework to forecast temporal patterns of news data and guide detector to fast adapt to future distributions. |
| Outcome: | The proposed framework forecasts temporal distribution patterns and guides detector to fast adapt to future distribution. |
From Cognitive to Computational Modeling: Text-based Risky Decision-Making Guided by Fuzzy Trace Theory (2022.findings-naacl)
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| Challenge: | Fuzzy trace theory explains human risky decision-making by incorporating gists, i.e. fuzzy representations of information which capture only its quintessential meaning. |
| Approach: | They propose a computational framework which combines the effects of the underlying semantics and sentiments on text-based decision-making. |
| Outcome: | The proposed framework can be optimised to predict risky decision-making in groups and individuals. |