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HACK: A hierarchical model for fake news detection
Yanqi LI
, Ke JI
, Kun MA
, Zhenxiang CHEN
, Jun WU
, Yidong LI
,
Guandong XU
Offices of the President (P)
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Keyphrases
Character Feature
33%
Classification Accuracy
33%
Contextual Information
66%
Convolution Network
33%
Copyright
33%
Fake News
100%
Fake News Detection
100%
Feature Combination
33%
Graph Network
33%
Hierarchical Detection
33%
Hierarchical Model
100%
Network Model
33%
News Content
33%
News Issues
33%
Online Social Media
33%
Political Risk
33%
Pre-trained Language Model
33%
Real-life Data
33%
Social Context
66%
Social Graph
33%
Social Media Sites
33%
Social Threat
33%
Springer Nature
33%
State-of-the-art Techniques
33%
Switzerland
33%
Text-dependent
33%
Computer Science
Classification Accuracy
50%
Context Information
50%
Contextual Information
50%
Experimental Result
50%
Hierarchical Model
100%
Pre-Trained Language Models
50%
Social Context
100%
Social Medium Site
50%
Social Network Graph
50%