The eradication of hate speech on social media: a systematic review

IF 1.6 Q2 ETHICS
Javier Gracia-Calandín, Leonardo Suárez-Montoya
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Abstract

Purpose The purpose of this paper is to present a quantitative and qualitative synthesis of the diverse academic proposals and initiatives for preventing and eliminating hate speech on the internet. Design/methodology/approach The foundation for this study is a systematic review of papers devoted to the analysis of hate speech. It has been conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol and applied to an initial corpus of 436 academic texts. Having implemented the suitability, screening and inclusion criteria, this corpus was refined to a sample of 74 articles. Findings The main subject categories studied in this corpus of academic research are legal issues and social media. In the majority of the articles, the use of hate speech via social media is associated with five typologies: religion, cyber racism, political slurs, misogyny and attacks on the LGTBI community. The absence of ethical reflection is one of the major shortcomings of IT-focused research and analysis devoted to online hate speech. Practical implications To date various systematic reviews have been presented, and they focus on detecting or describing hate speech. These have used either the search appraisal synthesis analysis framework or the Cochrane network. The PRISMA protocol was applied for this study, and both Scopus and texts in German were included. To date no major, rigorous systematic review has been undertaken of proposals to combat hate speech. Originality/value The link between hate speech and poverty has not been studied in depth within the academic sphere. Tolerance and ethical compassion are not granted the attention they merit when it comes to analysing the phenomenon of hate speech.
根除社交媒体上的仇恨言论:系统综述
本文的目的是对预防和消除互联网上的仇恨言论的各种学术建议和举措进行定量和定性的综合。设计/方法/方法本研究的基础是对专门分析仇恨言论的论文进行系统回顾。该研究使用系统评价和荟萃分析首选报告项目(PRISMA)协议进行,并应用于436个学术文本的初始语料库。在实施了适用性、筛选和纳入标准后,该语料库被细化为74篇文章的样本。在这个学术研究语料库中研究的主要主题类别是法律问题和社交媒体。在大多数文章中,通过社交媒体使用仇恨言论与五种类型有关:宗教,网络种族主义,政治诽谤,厌女症和对LGTBI社区的攻击。缺乏道德反思是致力于在线仇恨言论的以it为重点的研究和分析的主要缺点之一。到目前为止,已经提出了各种系统评论,它们的重点是检测或描述仇恨言论。这些研究要么使用搜索评估综合分析框架,要么使用Cochrane网络。本研究采用PRISMA协议,并纳入Scopus和德文文本。迄今为止,还没有对打击仇恨言论的建议进行重大的、严格的系统审查。在学术领域,仇恨言论与贫困之间的联系尚未得到深入研究。在分析仇恨言论现象时,宽容和道德同情并没有得到应有的重视。
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
CiteScore
3.90
自引率
13.30%
发文量
22
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