LUX (Linguistic aspects Under eXamination): Discourse Analysis for Automatic Fake News Classification

Lucas Azevedo, Mathieu d’Aquin, Brian Davis, Manel Zarrouk


Anthology ID:
2021.findings-acl.4
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
41–56
Language:
URL:
https://aclanthology.org/2021.findings-acl.4
DOI:
10.18653/v1/2021.findings-acl.4
Bibkey:
Cite (ACL):
Lucas Azevedo, Mathieu d’Aquin, Brian Davis, and Manel Zarrouk. 2021. LUX (Linguistic aspects Under eXamination): Discourse Analysis for Automatic Fake News Classification. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 41–56, Online. Association for Computational Linguistics.
Cite (Informal):
LUX (Linguistic aspects Under eXamination): Discourse Analysis for Automatic Fake News Classification (Azevedo et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.4.pdf
Code
 lucas0/annotator +  additional community code
Data
FEVER