Rumor Detection on Twitter with Tree-structured Recursive Neural Networks

ACL 2018 Jing MaWei GaoKam-Fai Wong

Automatic rumor detection is technically very challenging. In this work, we try to learn discriminative features from tweets content by following their non-sequential propagation structure and generate more powerful representations for identifying different type of rumors... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Representation Learning 2017_test set bottom up 16x16 Accuracy 0.005 # 1

Methods used in the Paper


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