绘制网络歧视的景观:一个综合的跨学科方法

IF 3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Chiara Imperato, Tiziana Mancini
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引用次数: 0

摘要

网络歧视是一个令人担忧的现象,越来越受到各学科的关注。然而,这种兴趣导致了知识的碎片化,研究往往局限于学科界限内。本研究引入了一种创新的混合方法,将范围审查与文本分析相结合,通过以下方式弥合这一差距:(1)绘制现有文献图;(2)确定跨学科的关键概念;(3)为学者、政策制定者和专业人士提供一个开放的、互动的工具。根据PRISMA的指导方针,我们选择了2011年至2024年间不同领域(即艺术与人文、历史、信息与通信技术、法律、医学、心理学和社会科学)的374篇科学出版物。然后,通过对所选文章的标题和摘要进行文本分析,确定了关键概念,揭示了五个主题类别:“对心理健康的影响”、“在线歧视检测”、“批判性政治话语”、“法律法规”和“感知和反应”。对于每个类,我们进行了相似性分析,以进一步探索其结构和关联。基于我们的研究结果,我们提出了一个跨学科的框架,以更好地理解在线歧视,并提供一个公开访问的互动工具和数据库,以供进一步探索。该工具使从业者能够执行有针对性的分析并支持基于证据的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Mapping the Landscape of Online Discrimination: An Integrated Transdisciplinary Approach

Mapping the Landscape of Online Discrimination: An Integrated Transdisciplinary Approach

Online discrimination is an alarming phenomenon that draws growing attention across academic disciplines. However, this interest has led to fragmented knowledge, with research often confined within disciplinary boundaries. This study introduces an innovative hybrid approach that combines a scoping review with textual analysis to bridge this gap by (1) mapping the existing literature, (2) identifying key concepts across disciplines, and (3) offering an open, interactive tool for scholars, policymakers, and professionals. Following PRISMA guidelines, we selected 374 scientific publications from 2011 to 2024 across diverse fields (i.e., arts and humanities, history, information and communication technology, law, medicine, psychology, and social sciences). Then, key concepts were identified through textual analysis of the titles and abstracts of the selected contributions, revealing five thematic classes: “consequences on mental health,” “online discrimination detection,” “critical political discourse,” “laws and regulations,”, and “perceptions and reactions.” For each class, we conducted a similarity analysis to further explore its structure and associations. Based on our findings, we propose a transdisciplinary framework to better understand online discrimination and provide a publicly accessible interactive tool and database for further exploration. This tool enables practitioners to perform targeted analyses and support evidence-based decision-making.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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