The digital augmentation of extremism: Reviewing and guiding online extremism research from a sociotechnical perspective

Author:

Risius Marten1ORCID,Blasiak Kevin M.1,Wibisono Susilo2,Louis Winnifred R.2

Affiliation:

1. Department of Business Information Systems School of Business, University of Queensland Brisbane Queensland Australia

2. Department of Social Psychology School of Psychology, University of Queensland Brisbane Queensland Australia

Abstract

AbstractOnline extremism remains a persistent problem despite the best efforts of governments, tech companies and civil society. Digital technologies can induce group polarization to promote extremism and cause substantial changes to extremism (e.g., create new forms of extremism, types of threats or radicalization approaches). Current methods to counter extremism induce undesirable side‐effects (e.g., ostracize minorities, inadvertently promote extremism) or do not leverage the full potential of digital technologies. Extremism experts recognize the need for researchers from other disciplines, like information systems, to contribute their technical expertise for understanding and countering online extremism. This article aims to introduce the field of information systems to the issue of online extremism. Information systems scholars address technology‐related societal issues from a sociotechnical perspective. The sociotechnical perspective describes systems through a series of interactions between social (structure, people) and technical components (physical system, task). We apply the sociotechnical perspective to (1) summarize the current state‐of‐the‐art knowledge of 222 articles in a systematic multi‐disciplinary literature review and (2) propose specific research questions that address two questions (How do digital technologies augment extremism? How can we successfully counter online extremism?).

Funder

Australian Research Council

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems,Software

Reference177 articles.

1. Explaining online conspiracy theory radicalization: A second‐order affordance for identity‐driven escalation

2. Detection and classification of social media‐based extremist affiliations using sentiment analysis techniques;Ahmad S.;Human‐centric Computing and Information Sciences,2019

3. Uniting the far right: how the far‐right extremist, new right, and populist frames overlap on twitter – a German case study;Ahmed R.;European Societies,2020

4. Computational mining of social media to curb terrorism;Almoqbel M.;ACM Computing Surveys,2019

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3