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FNED: A Deep Network for Fake News Early Detection on Social Media
Yang Liu,
Yi Fang Brook Wu
Informatics
Research output
:
Contribution to journal
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Review article
›
peer-review
112
Scopus citations
Overview
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Dive into the research topics of 'FNED: A Deep Network for Fake News Early Detection on Social Media'. Together they form a unique fingerprint.
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Keyphrases
Social Media
100%
Early Detection
100%
Fake News
100%
Deep Network
100%
Effective Method
14%
Deep Neural Network
14%
User Response
14%
News Story
14%
Attention Mechanism
14%
User Feature
14%
Response Features
14%
User Profile
14%
Multiregion
14%
Window Size
14%
Multiple Windows
14%
Learning Settings
14%
Useful Patterns
14%
Aggregation-based
14%
PU Learning
14%
Text Features
14%
Feature Extractor
14%
News Propagation
14%
Feature Aggregation
14%
Social Harm
14%
Mean Pooling
14%
Crowd Response
14%
Ranking Position
14%
Pooling Mechanism
14%
Position Attention
14%
Engineering
Early Detection
100%
Early Stage
50%
Observed Data
50%
Paramount Importance
50%
Experimental Result
50%
Deep Neural Network
50%
Extractor
50%
User Profile
50%
Text Feature
50%
Computer Science
Early Detection
100%
Social Media
100%
Paramount Importance
50%
Deep Neural Network
50%
Experimental Result
50%
Attention (Machine Learning)
50%
Effective Method
50%