Communications in Humanities Research
- The Open Access Proceedings Series for Conferences
Communications in Humanities Research
Vol. 7, 31 October 2023
Open
Access | Article
Fake News Detection and Analysis
* Author to whom correspondence should be addressed.
Abstract
The popularized use of social media accelerates the spreading of fake news. The overwhelming amount of fake news was a severe social issue during the 2016 presidential election and the first outbreak of Coronavirus in 2020. As controlling the spread of fake news is not practically workable, the detection of fake news is significantly valuable to solve this issue. In this paper, we conduct experiments to discover the effect of contextualized embedding of news content on counterfeit news detection. We also explore the features of fake news through two aspects: clickbait and sentiment.
Keywords
fake news detection, deep learning, contextualized embedding
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 4th International Conference on Educational Innovation and Philosophical Inquiries
- ISBN (Print)
- 978-1-83558-037-0
- ISBN (Online)
- 978-1-83558-038-7
- Published Date
- 31 October 2023
- Series
- Communications in Humanities Research
- ISSN (Print)
- 2753-7064
- ISSN (Online)
- 2753-7072
- DOI
- 10.54254/2753-7064/7/20230730
- Copyright
- 31 October 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited