Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19-Reference-Cited by-同舟云学术

Exploring Content-Based and Meta-Data Analysis for Detecting Fake News Infodemic: A case study on COVID-19

Published:2022-06-07 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Pattern Recognition Systems (ICPRS)
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Author:

Ajao Oluwaseun¹,Garg Ashish¹,Da Costa-Abreu Marjory¹

Affiliation:

1. Sheffield Hallam University,Department of Computing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9854043/9853852/09854058.pdf?arnumber=9854058

Reference54 articles.

1. Detecting fake news for reducing misinformation risks using analytics approaches

2. Dont count, predict! a sys-tematic comparison of context-counting vs. context-predicting semantic vectors;baroni;Proceedings annual meeting of the Association for Computational Linguistics,0

3. A Novel Approach for Selecting Hybrid Features from Online News Textual Metadata for Fake News Detection

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3. Analyzing Multimodal Datasets for Detecting Online COVID Misinformation: A Preliminary Survey Study;2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC);2023-03-08

4. Fake News Detection using Machine Learning;2023 3rd International Conference on Artificial Intelligence (ICAI);2023-02-22