Anti-Asian discourse in Quora: Comparison of before and during the COVID-19 pandemic with machine-and deep-learning approaches
Published in Race and Justice, 2023
Recommended citation: Jang, S. H., Youm, S., & Yi, Y. J. (2023). "Anti-Asian discourse in Quora: Comparison of before and during the COVID-19 pandemic with machine-and deep-learning approaches." Race and Justice, 13(1), 55–79. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863840/
This study compares anti-Asian discourse before and during the COVID-19 pandemic using data from Quora, one of the most widely used community Q&A platforms. The authors created datasets of questions and answers mentioning “Asians” and “anti-Asians” posted between 2010 and 2021. A total of 1,477 questions and 5,346 answers were analyzed and divided into two periods: before and during the pandemic. Methods included topic modeling and word embedding (Word2Vec) to identify thematic changes. Pre-pandemic discourse focused on racism and physical differences, while pandemic-era discourse emphasized hate crimes and solidarity movements.
Recommended citation:
Jang, S. H., Youm, S., & Yi, Y. J. (2023). Anti-Asian discourse in Quora: Comparison of before and during the COVID-19 pandemic with machine-and deep-learning approaches. Race and Justice, 13(1), 55–79.