Combating Fake News with Transformers: A Comparative Analysis of Stance Detection and Subjectivity Analysis
The widespread use of social networks has brought to the foreground a very important issue, the veracity of the information circulating within them. Many natural language processing methods have been proposed in the past to assess a post’s content with respect to its reliability; however, end-to-end...
Main Authors: | Panagiotis Kasnesis, Lazaros Toumanidis, Charalampos Z. Patrikakis |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-10-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/12/10/409 |
Similar Items
-
An Explainable Fake News Analysis Method with Stance Information
by: Lu Yuan, et al.
Published: (2023-08-01) -
On the use of text augmentation for stance and fake news detection
by: Ilhem Salah, et al.
Published: (2023-07-01) -
APSN: Adversarial Pseudo-Siamese Network for Fake News Stance Detection
by: Zhibo Zhou, et al.
Published: (2023-02-01) -
Displaying a Critical Stance
by: Vivien Heller, et al.
Published: (2024-02-01) -
Ternion: An Autonomous Model for Fake News Detection
by: Noman Islam, et al.
Published: (2021-10-01)