Fake Sentence Detection Based on Transfer Learning: Applying to Korean COVID-19 Fake News
With the increasing number of social media users in recent years, news in various fields, such as politics, economics, and so on, can be easily accessed by users. However, most news spread through social networks including Twitter, Facebook, and Instagram has unknown sources, thus having a significa...
Main Authors: | Jeong-Wook Lee, Jae-Hoon Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/13/6402 |
Similar Items
-
FEATURES TO DISTINGUISH BETWEEN TRUSTWORTHY AND FAKE NEWS
by: Daniel CHOVANEC, et al.
Published: (2021-11-01) -
Trends in combating fake news on social media – a survey
by: Botambu Collins, et al.
Published: (2021-04-01) -
exBAKE: Automatic Fake News Detection Model Based on Bidirectional Encoder Representations from Transformers (BERT)
by: Heejung Jwa, et al.
Published: (2019-09-01) -
Combating Fake News: Stakeholder Interventions and Potential Solutions
by: Ankur Gupta, et al.
Published: (2022-01-01) -
Fake news detection: a survey of evaluation datasets
by: Arianna D’Ulizia, et al.
Published: (2021-06-01)