Rumor Detection on Social Media with Temporal Propagation Structure Optimization (2025.coling-main)
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| Challenge: | Existing methods for detecting rumors on social media neglect the temporal aspect of rumor propagation. |
| Approach: | They propose a method that incorporates temporal information by building a weighted propagation tree and a coding tree. |
| Outcome: | The proposed approach preserves essential structure of rumor propagation while reducing noise. |
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| Challenge: | Existing studies on rumor detection focus on text content and propagation structure . however, the uncertainty caused by unreliable relations in propagation structures is common . |
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| Challenge: | Existing methods for rumor detection are limited to the strict relation of user responses or oversimplify the conversation structure. |
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