Unmasking hate in the pandemic: A cross-platform study of the COVID-19 infodemic

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

ACS Applied Electronic Materials Pub Date : 2024-06-25 DOI:10.1016/j.bdr.2024.100481

Fatima Zahrah , Jason R.C. Nurse , Michael Goldsmith

{"title":"Unmasking hate in the pandemic: A cross-platform study of the COVID-19 infodemic","authors":"Fatima Zahrah , Jason R.C. Nurse , Michael Goldsmith","doi":"10.1016/j.bdr.2024.100481","DOIUrl":null,"url":null,"abstract":"<div><p>The past few decades have established how digital technologies and platforms have provided an effective medium for spreading hateful content, which has been linked to several catastrophic consequences. Recent academic studies have also highlighted how online hate is a phenomenon that strategically makes use of multiple online platforms. In this article, we seek to advance the current research landscape by harnessing a cross-platform approach to computationally analyse content relating to the 2020 COVID-19 pandemic. More specifically, we analyse content on hate-specific environments from Twitter, Reddit, 4chan and Stormfront. Our findings show how content and posting activity can change across platforms, and how the psychological components of online content can differ depending on the platform being used. Through this, we provide unique insight into the cross-platform behaviours of online hate. We further define several avenues for future research within this field so as to gain a more comprehensive understanding of the global hate ecosystem.</p></div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2214579624000558/pdfft?md5=a8e2330701051448866927c6cb877d10&pid=1-s2.0-S2214579624000558-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214579624000558","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

The past few decades have established how digital technologies and platforms have provided an effective medium for spreading hateful content, which has been linked to several catastrophic consequences. Recent academic studies have also highlighted how online hate is a phenomenon that strategically makes use of multiple online platforms. In this article, we seek to advance the current research landscape by harnessing a cross-platform approach to computationally analyse content relating to the 2020 COVID-19 pandemic. More specifically, we analyse content on hate-specific environments from Twitter, Reddit, 4chan and Stormfront. Our findings show how content and posting activity can change across platforms, and how the psychological components of online content can differ depending on the platform being used. Through this, we provide unique insight into the cross-platform behaviours of online hate. We further define several avenues for future research within this field so as to gain a more comprehensive understanding of the global hate ecosystem.

查看原文本刊更多论文

在大流行中揭开仇恨的面纱：COVID-19 信息大流行的跨平台研究

过去几十年来，数字技术和平台为仇恨内容的传播提供了有效的媒介，而仇恨内容的传播与一些灾难性后果有关。最近的学术研究也强调了网络仇恨是如何战略性地利用多种网络平台的现象。在本文中，我们试图利用跨平台方法对与 2020 年 COVID-19 大流行相关的内容进行计算分析，从而推进当前的研究工作。更具体地说，我们分析了 Twitter、Reddit、4chan 和 Stormfront 上特定仇恨环境的内容。我们的研究结果表明了内容和发帖活动在不同平台上的变化，以及网络内容的心理成分如何因所使用的平台而不同。通过这些研究，我们对网络仇恨的跨平台行为有了独特的见解。我们进一步确定了该领域未来研究的几个方向，以便更全面地了解全球仇恨生态系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

ACS Applied Electronic Materials Multiple-

CiteScore

7.20

自引率

4.30%

发文量

567