Predicting anti-Asian hateful users on Twitter during COVID-19

Predicting anti-Asian hateful users on Twitter during COVID-19

We investigate predictors of anti-Asian hate among Twitter users throughout COVID-19. With the rise of xenophobia and polarization that has accompanied widespread social media usage in many nations, online hate has become a major social issue, attracting many researchers. Here, we apply natural lang...

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Bibliographic Details
Main Authors: AN, Jisun, KWAK, Haewoon, LEE, Claire Seungeun, JUN, Bogang, AHN, Yong-Yeol
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
COVID-19
hate speech
Artificial Intelligence and Robotics
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/6787
https://ink.library.smu.edu.sg/context/sis_research/article/7790/viewcontent/2021.findings_emnlp.398.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/6787
https://ink.library.smu.edu.sg/context/sis_research/article/7790/viewcontent/2021.findings_emnlp.398.pdf

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