除了政治:网络社会群体中解决偏见的连通性

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Brandon C. Bouchillon
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引用次数: 0

摘要

研究表明,偏见在美国一直在增长。公民越来越感到来自移民的威胁,针对移民群体的仇恨犯罪有所上升。人际接触的减少也使得直接解决偏见变得更加困难。这项研究考察了非政治性的社交媒体团体是否能促进减少偏见的联系。这些群体允许用户在共同兴趣的基础上建立联系,使不同的个人形成密切的关系,这可能会改善对移民的态度。通过一项与美国人口普查性别、种族、民族、年龄和居住地区的百分比相匹配的全国网络调查(N = 1500),以及为期六周的两波小组调查(N = 752),结果表明,公然的偏见比微妙的偏见更普遍。受访者更有可能感受到移民的威胁,而不是对他们隐瞒积极情绪。作为补救措施,非政治群体的社会联系与明显偏见的减少和全球偏见的降低有关,这是一个包括微妙和明显成分的衡量标准。研究结果表明,与不同的人远程联系的感觉可以改善对种族和民族多样性的态度,帮助个人减少对移民的威胁,减少总体偏见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anything but Politics: Connectedness in Networked Social Groups for Addressing Prejudice
Research indicates that prejudice has been growing in America. Citizens feel increasingly threatened by immigrants, and hate crimes against immigrant groups have risen. Declining interpersonal contact has also made it more difficult to address prejudice directly. This study examines whether nonpolitical social media groups can foster connections that reduce prejudice. These groups allow users to connect on the basis of shared interests, enabling diverse individuals to form close relationships which may improve attitudes toward immigrants. Using a national web survey matched to U.S. Census percentages for sex, race, ethnicity, age, and region of residence ( N = 1500), along with a two-wave panel conducted over six weeks ( N = 752), results indicate that blatant prejudice is more prevalent than subtle prejudice. Respondents were more likely to feel threatened by immigrants than to withhold positive emotions from them. As a remedy, social connectedness in nonpolitical groups was associated with diminished blatant prejudice and lower levels of global prejudice, a measure that includes both subtle and blatant components. Findings suggest that feeling connected with different people remotely can improve attitudes toward racial and ethnic diversity, helping individuals feel less threatened by immigrants and less prejudiced overall.
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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