Distinguishing between fake news and satire with transformers-Reference-Cited by-同舟云学术

Distinguishing between fake news and satire with transformers

Published:2022-01 Issue: Volume:187 Page:115824
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Low Jwen Fai^ORCID,Fung Benjamin C.M.^ORCID,Iqbal Farkhund^ORCID,Huang Shih-Chia^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference56 articles.

1. Classification of fake news by fine-tuning deep bidirectional transformers based language model;Aggarwal;EAI Endorsed Transactions on Scalable Information Systems,2020

2. Detecting opinion spams and fake news using text classification;Ahmed;Security and Privacy,2018

3. COVID-19 and the 5G conspiracy theory: Social network analysis of twitter data;Ahmed;Journal of Medical Internet Research,2020

4. Detecting breaking news rumors of emerging topics in social media;Alkhodair;Information Processing and Management (IP&M),2020

5. Detecting high-engaging breaking news rumors in social media;Alkhodair;ACM Transactions on Management Information Systems (TMIS),2020

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