Healthier information ecosystems: A definition and agenda

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of the Association for Information Science and Technology Pub Date : 2024-08-08 DOI:10.1002/asi.24949
Joshua Introne, Brian McKernan, Charisse L' Pree Corsbie-Massay, Deana Rohlinger, Francesca Bolla Tripodi
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引用次数: 0

Abstract

As digitally enabled information systems play an increasingly central role in culture and economics, their negative consequences have become apparent. This guest editorial addresses the urgent need for information scientists to take a more deliberate stance in designing and guiding the evolution of these systems. We propose a framework for conceptualizing “healthier information ecosystems” by drawing on theories from complex systems and ecological research, grounded in a value-oriented approach. The article reviews key concepts from systems science, complex systems, and ecology, with a focus on ecosystem and adaptation research. These perspectives offer analytical approaches for decomposing information ecosystems and provide a foundation for understanding “health” in the context of evolving, open systems. Unlike natural ecosystems, information ecosystems must be evaluated according to human values; thus, we articulate a set of values as a starting point for defining health in this context. By introducing insights from beyond the field of information systems, we aim to instigate scholarly dialog, connect prior work in new ways, and reveal new opportunities for research and intervention. This connective and argumentative contribution is intended to guide future research and identify solutions to the proliferating problems in our current information ecosystems.

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更健康的信息生态系统:定义和议程
随着数字化信息系统在文化和经济领域发挥着越来越重要的作用,其负面影响也日益明显。这篇特约社论论述了信息科学家在设计和指导这些系统的发展过程中采取更审慎立场的迫切需要。我们借鉴复杂系统和生态研究的理论,以价值导向的方法为基础,提出了一个 "更健康的信息生态系统 "概念框架。文章回顾了系统科学、复杂系统和生态学的关键概念,重点关注生态系统和适应性研究。这些观点为分解信息生态系统提供了分析方法,并为在不断发展的开放系统中理解 "健康 "奠定了基础。与自然生态系统不同,信息生态系统必须根据人类的价值观进行评估;因此,我们阐述了一套价值观,作为在此背景下定义健康的起点。通过引入信息系统领域以外的见解,我们旨在引发学术对话,以新的方式将先前的工作联系起来,并揭示研究和干预的新机遇。这一具有连接性和论证性的贡献旨在指导未来的研究,并为我们当前的信息生态系统中层出不穷的问题找到解决方案。
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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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