{"title":"非冷漠中立加剧了网络环境中的非人化和暴力：一项文本挖掘和机器学习研究","authors":"Calvin Lam, Christian S. Chan","doi":"10.1007/s11482-025-10452-y","DOIUrl":null,"url":null,"abstract":"<div><p>We investigated online discourse on dehumanization and violence among polarized and non-apathetic neutral individuals, the latter defined as those who actively engage in political debates without being politically polarized. We employed text mining and machine learning to analyze over 39 million user-generated comments from two online forums—<i>Lihkg</i> (popular among anti-government users) and <i>HKDiscuss</i> (popular among pro-government users)—during the 2019 social unrest in Hong Kong. On <i>Lihkg</i>, non-apathetic neutral individuals expressed stronger dehumanizing sentiments compared to anti-government users. On <i>HKDiscuss</i>, pro-government users exhibited stronger dehumanizing tendencies compared to both non-apathetic neutral and anti-government individuals. Furthermore, non-apathetic neutral individuals on <i>Lihkg</i>, as well as non-apathetic neutral and anti-government-learning neutral individuals on <i>HKDiscuss</i>, were more likely to endorse violence compared with other groups. These findings suggest that non-apathetic neutrality can intensify online political polarization and conflict. Our results enhance the understanding of how online political polarization contributes to dehumanization and violence, underscoring the importance of further investigating non-apathetic neutrality in online discourse.</p></div>","PeriodicalId":51483,"journal":{"name":"Applied Research in Quality of Life","volume":"20 3","pages":"1037 - 1055"},"PeriodicalIF":2.5000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-Apathetic Neutrality Exacerbates Dehumanization and Violence in Online Environments: a Text Mining and Machine Learning Study\",\"authors\":\"Calvin Lam, Christian S. Chan\",\"doi\":\"10.1007/s11482-025-10452-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We investigated online discourse on dehumanization and violence among polarized and non-apathetic neutral individuals, the latter defined as those who actively engage in political debates without being politically polarized. We employed text mining and machine learning to analyze over 39 million user-generated comments from two online forums—<i>Lihkg</i> (popular among anti-government users) and <i>HKDiscuss</i> (popular among pro-government users)—during the 2019 social unrest in Hong Kong. On <i>Lihkg</i>, non-apathetic neutral individuals expressed stronger dehumanizing sentiments compared to anti-government users. On <i>HKDiscuss</i>, pro-government users exhibited stronger dehumanizing tendencies compared to both non-apathetic neutral and anti-government individuals. Furthermore, non-apathetic neutral individuals on <i>Lihkg</i>, as well as non-apathetic neutral and anti-government-learning neutral individuals on <i>HKDiscuss</i>, were more likely to endorse violence compared with other groups. These findings suggest that non-apathetic neutrality can intensify online political polarization and conflict. Our results enhance the understanding of how online political polarization contributes to dehumanization and violence, underscoring the importance of further investigating non-apathetic neutrality in online discourse.</p></div>\",\"PeriodicalId\":51483,\"journal\":{\"name\":\"Applied Research in Quality of Life\",\"volume\":\"20 3\",\"pages\":\"1037 - 1055\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Research in Quality of Life\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11482-025-10452-y\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Research in Quality of Life","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s11482-025-10452-y","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
Non-Apathetic Neutrality Exacerbates Dehumanization and Violence in Online Environments: a Text Mining and Machine Learning Study
We investigated online discourse on dehumanization and violence among polarized and non-apathetic neutral individuals, the latter defined as those who actively engage in political debates without being politically polarized. We employed text mining and machine learning to analyze over 39 million user-generated comments from two online forums—Lihkg (popular among anti-government users) and HKDiscuss (popular among pro-government users)—during the 2019 social unrest in Hong Kong. On Lihkg, non-apathetic neutral individuals expressed stronger dehumanizing sentiments compared to anti-government users. On HKDiscuss, pro-government users exhibited stronger dehumanizing tendencies compared to both non-apathetic neutral and anti-government individuals. Furthermore, non-apathetic neutral individuals on Lihkg, as well as non-apathetic neutral and anti-government-learning neutral individuals on HKDiscuss, were more likely to endorse violence compared with other groups. These findings suggest that non-apathetic neutrality can intensify online political polarization and conflict. Our results enhance the understanding of how online political polarization contributes to dehumanization and violence, underscoring the importance of further investigating non-apathetic neutrality in online discourse.
期刊介绍：
The aim of this journal is to publish conceptual, methodological and empirical papers dealing with quality-of-life studies in the applied areas of the natural and social sciences. As the official journal of the ISQOLS, it is designed to attract papers that have direct implications for, or impact on practical applications of research on the quality-of-life. We welcome papers crafted from interdisciplinary, inter-professional and international perspectives. This research should guide decision making in a variety of professions, industries, nonprofit, and government sectors, including healthcare, travel and tourism, marketing, corporate management, community planning, social work, public administration, and human resource management. The goal is to help decision makers apply performance measures and outcome assessment techniques based on concepts such as well-being, human satisfaction, human development, happiness, wellness and quality-of-life. The Editorial Review Board is divided into specific sections indicating the broad scope of practice covered by the journal. The section editors are distinguished scholars from many countries across the globe.
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