Papers with HEARD
Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset (2022.naacl-main)
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| Challenge: | rumor detection models have been designed with oversimplifcation and evaluated inappropriately on a few datasets where the actual early-stage information is largely missing. |
| Approach: | They propose a new Benchmark dataset for EArly Rumor Detection based on claims from fact-checking websites and a novel model based upon neural Hawkes process for EARD. |
| Outcome: | The proposed model can guide a generic rumor detection model to make timely, accurate and stable predictions. |