Temporal Dynamics of Online Sentiments: Investigating the Impact of Real-World Events on #StopAsianHate Twitter Movement

Communications in Humanities Research Pub Date : 2024-05-17 DOI:10.54254/2753-7064/31/20232009

Li'an Ren, Tianlin Liu, Junming Zheng, Luyao Zhao, Haobo Zhang

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Abstract

Stop Asian hate has been a heated topic on social media platforms because of the increase in Asian hate after the breakout of COVID-19 and hate crimes caused by Asian hate. The hashtag #StopAsianHate on Twitter points out that making proper consensus decisions can be an effective way to spread the impact of hate crimes and attract more attention to Asian hate to call for actions to stop Asian hate. To gain more theoretical knowledge for consensus decisions and guidance of public opinion, this study used MDCOR and tools developed by our researchers to analyze posts under tweets (opened answers) posted under the hashtag #StopAsianHate (from March 1, 2022, to August 31, 2023). The tools being used can directly analyze the open answers on Twitter, providing the study with the identification of topics and sentiment analysis. Through the analysis of 5-month data, which is far longer than other research, the dynamic of the publics opinion and sentiment is clearly shown. By understanding the shifts in public opinion and sentiment, more valid strategies for advocacy of anti-racism are hoped to be found.

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网络情绪的时间动态：调查现实世界事件对 #StopAsianHate Twitter 运动的影响

由于 COVID-19 爆出后亚裔仇恨事件的增加以及由亚裔仇恨引发的仇恨犯罪，停止亚裔仇恨一直是社交媒体平台上的热门话题。推特上的话题 #StopAsianHate 指出，正确的共识决策可以有效地传播仇恨犯罪的影响，吸引更多的人关注亚裔仇恨，从而呼吁采取行动阻止亚裔仇恨。为了获得更多关于共识决策和舆论引导的理论知识，本研究利用 MDCOR 和本研究人员开发的工具，对 #StopAsianHate 标签下（2022 年 3 月 1 日至 2023 年 8 月 31 日）发布的推文（已打开的答案）中的帖子进行了分析。所使用的工具可以直接分析推特上的公开答案，为研究提供主题识别和情感分析。通过对远长于其他研究的 5 个月数据的分析，公众舆论和情绪的动态得以清晰呈现。通过了解公众舆论和情绪的变化，有望找到更有效的反种族主义宣传策略。

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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Communications in Humanities Research

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