Sociotechnical governance of misinformation: An Annual Review of Information Science and Technology (ARIST) paper

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Madelyn Rose Sanfilippo, Xiaohua Awa Zhu, Shengan Yang
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引用次数: 0

Abstract

Misinformation is a complex and urgent sociotechnical problem that requires meaningful governance, in addition to technical efforts aimed at detection or classification and intervention or literacy efforts aimed at promoting awareness and identification. This review draws on interdisciplinary literature—spanning information science, computer science, management, law, political science, public policy, journalism, communications, psychology, and sociology—to deliver an adaptable, descriptive governance model synthesized from past scholarship on the governance of misinformation. Crossing disciplines and contexts of study and cases, we characterize: the complexity and impact of misinformation as a governance challenge, what has been managed and governed relative to misinformation, the institutional structure of different governance parameters, and empirically identified sources of success and failure in different governance models. Our approach to support this review is based on systematic, structured literature review methods to synthesize and compare insights drawn from conceptual, qualitative, and quantitative empirical works published in or translated into English from 1991 to the present. This review contributes a model for misinformation governance research, an agenda for future research, and recommendations for contextually-responsive and holistic governance.

Abstract Image

错误信息的社会技术治理:信息科学与技术(alist)论文的年度回顾
错误信息是一个复杂而紧迫的社会技术问题,除了旨在检测或分类和干预的技术努力或旨在提高认识和识别的扫盲努力外,还需要有意义的治理。这篇综述借鉴了跨学科的文献——包括信息科学、计算机科学、管理学、法学、政治学、公共政策、新闻学、传播学、心理学和社会学——提供了一个适应性强、描述性的治理模型,综合了过去关于错误信息治理的学术研究。跨越学科和研究背景和案例,我们描述了:作为治理挑战的错误信息的复杂性和影响,与错误信息相关的管理和治理,不同治理参数的制度结构,以及在不同治理模型中经验确定的成功和失败的来源。我们支持这一综述的方法是基于系统的、结构化的文献综述方法,以综合和比较从1991年至今发表或翻译成英文的概念性、定性和定量实证著作中得出的见解。这篇综述为错误信息治理研究提供了一个模型,一个未来研究的议程,以及对情境响应和整体治理的建议。
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
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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