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

• 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
• Institution: Singapore Management University

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...