Department of Communication Studies, University of Antwerp, Antwerp, Belgium.
Department of Communication and Cognition, Tilburg University, Tilburg, Netherlands.
Cyberpsychol Behav Soc Netw. 2023 Jul;26(7):479-488. doi: 10.1089/cyber.2022.0195. Epub 2023 Apr 27.
Online hate speech on social media platforms causes harm to those who are victimized as well as society at large. The prevalence of hateful content has, thus, prompted numerous calls for improved countermeasures and prevention. For such interventions to be effective, it is necessary to gain a nuanced understanding of influences that facilitate the spread of hate speech. This study does so by investigating what are relevant digital determinants for online hate perpetration. Moreover, the study explores possibilities of different technology-driven interventions for prevention. Thereby, the study specifically considers the digital environments in which online hate speech is most often produced and disseminated, namely social media platforms. We apply frameworks related to the concept of digital affordances to focus on the role that technological features of these platforms play in the context of online hate speech. Data were collected using the Delphi method in which a selected sample of experts from both research and practice answered multiple rounds of surveys with the goal of reaching a group consensus. The study encompassed an open-ended collection of initial ideas, followed by a multiple-choice questionnaire to identify, and rate the most relevant determinants. Usefulness of the suggested intervention ideas was assessed through the three lenses of human-centered design. The results of both thematic analysis and non-parametric statistics yield insights on how features of social media platforms can be both determinants that facilitate online hate perpetration as well as crucial mechanisms of preventive interventions. Implications of these findings for future intervention development are discussed.
社交媒体平台上的网络仇恨言论不仅对受害者，也对整个社会造成了伤害。因此，大量呼吁采取更好的对策和预防措施来应对仇恨内容的泛滥。为了使这些干预措施有效，有必要细致入微地了解促进仇恨言论传播的各种影响因素。本研究通过调查哪些是网络仇恨行为的相关数字决定因素来实现这一目标。此外，该研究还探讨了不同技术驱动的干预措施的预防可能性。因此，本研究特别考虑了网络仇恨言论最常产生和传播的数字环境，即社交媒体平台。我们应用与数字赋权概念相关的框架，重点研究这些平台的技术功能在网络仇恨言论背景下所扮演的角色。研究采用德尔菲法收集数据，研究和实践领域的选定专家样本通过多轮调查回答问题，以达成小组共识。研究包括一个开放式的初始想法收集，然后是一个多项选择问卷，以确定和评估最相关的决定因素。通过以人为中心的设计的三个视角来评估建议干预措施的有用性。主题分析和非参数统计的结果提供了有关社交媒体平台的功能如何既是促进网络仇恨行为的决定因素，也是预防干预的关键机制的深入见解。讨论了这些发现对未来干预措施发展的影响。
