Editorial for Special Issue on Detecting, Understanding and Countering Online Harms

Q1 Social Sciences Online Social Networks and Media Pub Date : 2022-01-01 DOI:10.1016/j.osnem.2021.100186
Arkaitz Zubiaga , Bertie Vidgen , Miriam Fernandez , Nishanth Sastry
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Abstract

This editorial article introduces the OSNEM special issue on Detecting, Understanding and Countering Online Harms. Whilst online social networks and media have revolutionised society, leading to unprecedented connectivity across the globe, they have also enabled the spread of hazardous and dangerous behaviours. Such ‘online harms’ are now a pressing concern for policymakers, regulators and big tech companies. Building deep knowledge about the scope, nature, prevalence, origins and dynamics of online harms is crucial for ensuring we can clean up online spaces. This, in turn, requires innovation and advances in methods, data, theory and research design – and developing multi-domain and multi-disciplinary approaches. In particular, there is a real need for methodological research that develops high-quality methods for detecting online harms in a robust, fair and explainable way. With this motivation in mind, the present special issue attracted 20 submissions, of which 8 were ultimately accepted for publication in the journal. These submissions predominantly revolve around online misinformation and abusive language, with an even distribution between the two topics. In what follows, we introduce and briefly discuss the contributions of these accepted submissions.

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《发现、理解和打击网络危害》特刊社论
这篇社论介绍了OSNEM关于发现、理解和打击网络危害的特刊。虽然在线社交网络和媒体已经彻底改变了社会,导致全球范围内前所未有的连通性,但它们也使危险和危险行为得以传播。这种“网络危害”现在是政策制定者、监管机构和大型科技公司迫切关注的问题。深入了解网络危害的范围、性质、流行程度、起源和动态,对于确保我们能够清理网络空间至关重要。反过来,这需要在方法、数据、理论和研究设计方面进行创新和进步,并开发多领域和多学科的方法。特别是,确实需要进行方法学研究,以开发高质量的方法,以可靠、公平和可解释的方式检测在线危害。考虑到这一动机,本期特刊吸引了20份投稿,其中8份最终被接受在该杂志上发表。这些提交主要围绕在线错误信息和辱骂性语言,在两个主题之间分布均匀。接下来,我们将介绍并简要讨论这些被接受的提交的贡献。
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来源期刊
Online Social Networks and Media
Online Social Networks and Media Social Sciences-Communication
CiteScore
10.60
自引率
0.00%
发文量
32
审稿时长
44 days
期刊最新文献
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