School of Nursing, Duke University, Durham, NC 27710, USA.
School of Nursing & Health Studies, University of Washington Bothell, Bothell, WA 98011, USA.
Int J Environ Res Public Health. 2022 Mar 22;19(7):3757. doi: 10.3390/ijerph19073757.
Evidence-based intervention and policy strategies to address the recent surge of race-motivated hate crimes and other forms of racism against Asian Americans are essential; however, such efforts have been impeded by a lack of empirical knowledge, e.g., about racism, specifically aimed at the Asian American population. Our qualitative descriptive study sought to fill this gap by using a data-mining approach to examine the contents of tweets having the hashtag #StopAsianHate. We collected tweets during a two-week time frame starting on 20 May 2021, when President Joe Biden signed the COVID-19 Hate Crimes Act. Screening of the 31,665 tweets collected revealed that a total of 904 tweets were eligible for thematic analysis. Our analysis revealed five themes: "Asian hate is not new", "Address the harm of racism", "Get involved in #StopAsianHate", "Appreciate the Asian American and Pacific Islander (AAPI) community's culture, history, and contributions" and "Increase the visibility of the AAPI community." Lessons learned from our findings can serve as a foundation for evidence-based strategies to address racism against Asian Americans both locally and globally.
针对近期针对亚裔美国人的种族动机仇恨犯罪和其他形式的种族主义的激增，采取循证干预和政策策略至关重要；然而，由于缺乏针对亚裔美国人的种族主义的具体的实证知识，此类努力受到了阻碍。我们的定性描述性研究旨在通过使用数据挖掘方法来填补这一空白，以检查带有标签#StopAsianHate 的推文的内容。我们在 2021 年 5 月 20 日开始的两周时间内收集了推文，当时乔·拜登总统签署了《COVID-19 仇恨犯罪法案》。对收集到的 31665 条推文进行筛选后，共有 904 条推文符合主题分析的条件。我们的分析揭示了五个主题：“针对亚裔的仇恨并非新鲜事”、“解决种族主义造成的伤害”、“参与#StopAsianHate”、“欣赏亚裔美国人和太平洋岛民（AAPI）社区的文化、历史和贡献”和“提高 AAPI 社区的可见度”。我们的研究结果可以为针对美国和全球亚裔美国人的种族主义的循证策略提供基础。
