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:
- Bibkey:
- 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)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.paclic-1.44.pdf
Export citation
@inproceedings{zahed-etal-2023-developing,
title = "Developing an Annotated {P}ersian Dataset from {COVID}-19 News for Enhanced Fake News Detection",
author = "Zahed, Foroogh and
Ebrahimi, Seyedeh Fatemeh and
Bahrani, Mohammad and
Mansouri, Alireza",
editor = "Huang, Chu-Ren and
Harada, Yasunari and
Kim, Jong-Bok and
Chen, Si and
Hsu, Yu-Yin and
Chersoni, Emmanuele and
A, Pranav and
Zeng, Winnie Huiheng and
Peng, Bo and
Li, Yuxi and
Li, Junlin",
booktitle = "Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation",
month = dec,
year = "2023",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.paclic-1.44",
pages = "446--455",
}
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%0 Conference Proceedings %T Developing an Annotated Persian Dataset from COVID-19 News for Enhanced Fake News Detection %A Zahed, Foroogh %A Ebrahimi, Seyedeh Fatemeh %A Bahrani, Mohammad %A Mansouri, Alireza %Y Huang, Chu-Ren %Y Harada, Yasunari %Y Kim, Jong-Bok %Y Chen, Si %Y Hsu, Yu-Yin %Y Chersoni, Emmanuele %Y A, Pranav %Y Zeng, Winnie Huiheng %Y Peng, Bo %Y Li, Yuxi %Y Li, Junlin %S Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation %D 2023 %8 December %I Association for Computational Linguistics %C Hong Kong, China %F zahed-etal-2023-developing %U https://aclanthology.org/2023.paclic-1.44 %P 446-455
Markdown (Informal)
[Developing an Annotated Persian Dataset from COVID-19 News for Enhanced Fake News Detection](https://aclanthology.org/2023.paclic-1.44) (Zahed et al., PACLIC 2023)
- Developing an Annotated Persian Dataset from COVID-19 News for Enhanced Fake News Detection (Zahed et al., PACLIC 2023)
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.