Racial Discrimination and Anti-discrimination: The COVID-19 Pandemic’s Impact on Chinese Restaurants in North America

IF 5 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Chuang Tang, Shaobo (Kevin) Li, Yi Ding, Ram D. Gopal, Guanglei Zhang
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引用次数: 0

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has seen a rise in racial discrimination against Asian communities, notably the Chinese population. Despite growing research on various aspects of the pandemic, there is a notable gap in understanding its behavioral impact regarding racial discrimination. This study delves into the manifestations of COVID-19-related racial discrimination and antidiscrimination efforts on online platforms using large-scale data sets from Yelp.com and SafeGraph. We specifically examined how the pandemic affected Chinese restaurants compared with non-Chinese ones at different pandemic phases. Our findings are significant; the pandemic triggered an immediate surge in racial discrimination, resulting in a substantial decrease in customers visiting Chinese restaurants. Importantly, we applied advanced text mining and machine learning techniques to analyze user behavior, consistently revealing that increased discrimination prompted users to take antidiscrimination actions on online platforms. This research highlights a tangible form of racial discrimination through reduced patronage of Chinese restaurants and underscores the capacity of consumers to combat discrimination on online platforms. It calls for targeted policy interventions to address and prevent racial discrimination, particularly in the context of public health crises.
种族歧视与反歧视:新冠肺炎疫情对北美中餐馆的影响
2019冠状病毒病(COVID-19)大流行导致对亚洲社区,特别是华人的种族歧视上升。尽管对这一流行病各个方面的研究日益增多,但在了解其对种族歧视的行为影响方面仍存在明显差距。本研究利用Yelp.com和SafeGraph的大规模数据集,深入研究了与新冠肺炎相关的种族歧视和反歧视在网络平台上的表现。我们特别研究了疫情在不同阶段对中国餐馆和非中国餐馆的影响。我们的发现意义重大;疫情立即引发了种族歧视的激增,导致光顾中餐馆的顾客大幅减少。重要的是,我们应用了先进的文本挖掘和机器学习技术来分析用户行为,结果一致表明,越来越多的歧视促使用户在在线平台上采取反歧视行动。这项研究强调了一种有形形式的种族歧视,即中餐馆的顾客减少,并强调了消费者在网络平台上打击歧视的能力。报告呼吁采取有针对性的政策干预措施,处理和防止种族歧视,特别是在公共卫生危机的背景下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.10
自引率
8.20%
发文量
120
期刊介绍: ISR (Information Systems Research) is a journal of INFORMS, the Institute for Operations Research and the Management Sciences. Information Systems Research is a leading international journal of theory, research, and intellectual development, focused on information systems in organizations, institutions, the economy, and society.
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