An et al., "Predicting Anti-Asian Hateful Users on Twitter during COVID-19" (2021)
2021-09-15 → 2026-08-14
Jisun An, Haewoon Kwak, Claire Seungeun Lee, Bogang Jun, and Yong-Yeol Ahn, Findings of the Association for Computational Linguistics: EMNLP 2021, 4655–4666 (2021)
Link | arXiv | PDF
@inproceedings{an2021predicting,
author = {Jisun An and Haewoon Kwak and Claire Seungeun Lee and Bogang Jun and Yong-Yeol Ahn},
title = {Predicting Anti-Asian Hateful Users on Twitter during COVID-19},
booktitle = {{Findings of the Association for Computational Linguistics: EMNLP 2021}},
pages = {4655--4666},
address = {Punta Cana, Dominican Republic},
publisher = {Association for Computational Linguistics},
month = {11},
archivePrefix = {arXiv},
eprint = {2109.07296},
primaryClass = {cs.CY},
doi = {10.18653/v1/2021.findings-emnlp.398},
year = {2021},
}
Compares Twitter users who began posting anti-Asian slurs during COVID-19 with users who did not, using features measured before the pandemic. The predictive features point to potential roles for polarized communication networks, news media, and information sources.
Hate speech, Racism, Twitter