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Research

research about rumor / fake news

Summary

Make a breif summary on recently ideas with some supported papers.

Structure Aspect

Heterogeneous graph

  • Papers
    • sdf
  • Experiment

Temporal Aspect

Time information is explicit for modeling, trying to intergrated it with GCN in a way LSTM Aggregator.

  • Papers
    • Deep spatial–temporal structure learning for rumor detection on Twitter. IJCNN 2019

Hierarchical Aspect

  • Papers
    • Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity
  • Related
    • Joint Slot Filling and Intent Detection via Capsule Neural Networks
    • Turing at SemEval-2017 Task 8 Sequential Approach to Rumour Stance Classification with Branch-LSTM
    • Sentylic at IEST 2018 Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
    • Sentiment analysis by capsules
    • Pretrained Embeddings for Stance Detection with Hierarchical Capsule Network on Social Media
  • Experiment
  • reimplementation raw paper
  • capsule to replace one layer of gcn and gru
  • withourt re-routing or routing

Adversarial Aspect

  • to be continued...

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research about rumor / fake news

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