The ecology of online hate speech: Mapping expert perspectives on the drivers for online hate perpetration with the Delphi method

IF 2.7 2区 心理学 Q1 BEHAVIORAL SCIENCES
Ina Weber, Heidi Vandebosch, Karolien Poels, Sara Pabian
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引用次数: 0

Abstract

Online hate speech (OHS) is a prevalent issue on social media with harmful consequences for individuals and society. Counteracting this issue requires a better understanding of the factors that drive behaviors such as posting hate speech or making hateful comments. The present study contributes to this need by investigating the personal, social, and digital determinants for OHS perpetration. By conducting a two-round Delphi study, data was collected from an interdisciplinary sample of experts. Practitioners were included in this sample to bridge gaps between research and fieldwork on OHS. The first survey collected information through open-ended questions, which was then organized in different themes and lists of determinants in a thematic analysis. These determinants were rated for relevance in a follow-up survey. Data analysis of the second survey used nonparametric statistics. From a total list of 129 determinants, the participants reached a consensus on 27 determinants as most relevant (median > 4) for facilitating the production and dissemination of OHS. An ecological perspective was applied to interpret these findings. As a result, we propose an ecological model of personal, social, and digital determinants for online hate perpetration to illustrate their influence on individual behavior as well as their possible connections. The model provides a comprehensive overview of factors facilitating OHS perpetration, which can help to identify points for intervention.

网络仇恨言论的生态学:用德尔菲法绘制网络仇恨犯罪驱动因素的专家视角图
网络仇恨言论(OHS)是社交媒体上的一个普遍问题,会对个人和社会造成有害影响。要解决这一问题,就必须更好地了解发布仇恨言论或发表仇恨评论等行为的驱动因素。本研究通过调查造成 OHS 行为的个人、社会和数字决定因素来满足这一需求。通过开展两轮德尔菲研究,我们从跨学科的专家样本中收集了数据。样本中还包括从业人员,以弥补有关职业健康安全的研究与实地工作之间的差距。第一次调查通过开放式问题收集信息,然后在专题分析中按不同的主题和决定因素清单进行整理。在后续调查中对这些决定因素的相关性进行评级。第二次调查的数据分析采用了非参数统计方法。在总共 129 项决定因素中,参与者一致认为 27 项决定因素(中位数为 4)与促进职业健康安全的生产和传播最为相关。我们从生态学的角度来解释这些发现。因此,我们提出了网络仇恨行为的个人、社会和数字决定因素生态模型,以说明这些因素对个人行为的影响及其可能的联系。该模型全面概述了促进网络仇恨行为的因素,有助于确定干预的要点。
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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来源期刊
Aggressive Behavior
Aggressive Behavior 医学-行为科学
CiteScore
4.90
自引率
3.40%
发文量
52
审稿时长
>12 weeks
期刊介绍: Aggressive Behavior will consider manuscripts in the English language concerning the fields of Animal Behavior, Anthropology, Ethology, Psychiatry, Psychobiology, Psychology, and Sociology which relate to either overt or implied conflict behaviors. Papers concerning mechanisms underlying or influencing behaviors generally regarded as aggressive and the physiological and/or behavioral consequences of being subject to such behaviors will fall within the scope of the journal. Review articles will be considered as well as empirical and theoretical articles. Aggressive Behavior is the official journal of the International Society for Research on Aggression.
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