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Nan Dai

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Open access Aug 2026

An interpretable multi-scale temporal-structural feature framework for early rumor detection on social media

This work introduces MSTRD, an explainable multi-scale temporal-structural feature framework for rumor detection on social media, and finds that temporal features are the most informative feature group, with a 2.4%-point accuracy drop when removed.

Nan Dai · 0 citations

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