Developing an Annotated Persian Dataset from COVID-19 News for Enhanced Fake News Detection
Foroogh Zahed, Seyedeh Fatemeh Ebrahimi, Mohammad Bahrani, Alireza Mansouri
- Anthology ID:
- 2023.paclic-1.44
- Volume:
- Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
- Month:
- December
- Year:
- 2023
- Address:
- Hong Kong, China
- Editors:
- Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Si Chen, Yu-Yin Hsu, Emmanuele Chersoni, Pranav A, Winnie Huiheng Zeng, Bo Peng, Yuxi Li, Junlin Li
- Venue:
- PACLIC
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 446–455
- Language:
- URL:
- https://aclanthology.org/2023.paclic-1.44
- DOI:
- Cite (ACL):
- Foroogh Zahed, Seyedeh Fatemeh Ebrahimi, Mohammad Bahrani, and Alireza Mansouri. 2023. Developing an Annotated Persian Dataset from COVID-19 News for Enhanced Fake News Detection. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pages 446–455, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- Developing an Annotated Persian Dataset from COVID-19 News for Enhanced Fake News Detection (Zahed et al., PACLIC 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2023.paclic-1.44.pdf