从信息获取到信息生产:解决数字信息生态系统中信息不平等问题的新视角

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Chelsea Peterson-Salahuddin
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引用次数: 0

摘要

我们信息环境的变化为解决系统性信息不平等问题带来了新的挑战和机遇。因此,在解决系统性的信息不平等问题时,不仅要像信息科学通常所考虑的那样,从信息获取的角度出发,还要从信息对象是如何构建和生产的角度出发。这篇文章将信息科学与新闻学研究和批判性技术研究结合起来进行讨论,以思考以下问题:(1) 以主流新闻业为例,信息的生产如何在信息表征中造成信息不平等;(2) 通过以算法为中介的在线信息系统(特别是社交媒体和搜索平台)传播和检索这些新闻信息,如何在更大的信息生态系统中复制和强化信息不平等。因此,本文采用跨学科视角,提出了全面解决信息不平等问题的新方法,提出了一个概念框架和可行步骤,以创建一个更加公平的信息生态系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

From information access to production: New perspectives on addressing information inequity in our digital information ecosystem

From information access to production: New perspectives on addressing information inequity in our digital information ecosystem

Changes in our informational environment have brought new challenges and opportunities to address systemic issues of information inequity. Thus, when addressing systemic issues of information inequity, it is important to address it not only from the perspective of information access, as it is often considered in information science, but also from the perspective of how information objects are constructed and produced. This essay brings concerns within information science into discussion with journalism studies and critical technology studies to consider: (1) how the production of information, through the case of mainstream journalism, can create information inequity within information representations, and (2) how the dissemination and retrieval of this journalistic information through algorithmically-mediated online information systems, specifically social media and search platforms, can replicate and reinforce information inequity within a larger information ecosystem. Thus, this essay uses an interdisciplinary lens to suggest new approaches to holistically address information inequity, putting forth a conceptual framework with actionable steps to create a more equitable information ecosystem.

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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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