Towards Automatic Annotation and Detection of Fake News
Author:
Affiliation:
1. The University of New South Wales,Sydney,Australia
2. Macquarie University,Sydney,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10223299/10223313/10223359.pdf?arnumber=10223359
Reference43 articles.
1. Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection
2. Changing Perspectives: Is It Sufficient to Detect Social Bots?
3. Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
4. Disinformation as Collaborative Work
5. Weak supervision for fake news detection via reinforcement learning;wang;AAAI,2019
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