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Updated: May 7, 2025

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Measuring Attentional Biases for Threat in Children and Adults
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听我说,听我说,听我说 数字仇恨的目标感知:对最近的研究进行了广泛的审查
Maryam Khaleghipour1, Kevin Koban1, Jörg Matthes1
1University of Vienna, Austria.
Trauma, violence & abuse
|January 4, 2025
概括
数字仇恨研究缺乏对目标及其经验的清晰度. 跨界方法对于理解受害和有效应对策略至关重要.
科学领域:
- 数字社会学 数字社会学
- 网络心理学 网络心理学
- 沟通研究 沟通研究
背景情况:
- 数字仇恨针对特定的个人或群体,基于属性.
- 现有的研究缺乏对目标对数字仇恨的看法进行系统的元视角.
研究的目的:
- 从2020年开始,系统地审查数字仇恨受害研究.
- 评估目标定义,特征,后果,反应,应对策略,方法和未来前景.
主要方法:
- 在Web of Science和Scopus数据库中系统搜索.
- 选了12978篇出版物,其中230篇研究符合纳入标准.
- 分析的重点是针对数字仇恨目标的研究.
主要成果:
- 发现缺乏概念清晰度和全球北方观点的主导地位.
- 突出了关于特定的人口统计 (儿童,老年人,男性,少数民族) 和方法需求的研究稀缺性.
- 在研究后果和应对策略方面,发现对交叉身份和上下文有效性的考虑不足.
结论:
- 强调需要采用跨界方法来全面了解数字仇恨受害的必要性.
- 强调需要检查短期和长期应对效率.
- 呼吁更多多样化的研究观点和方法.
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