设计技术以支持错误信息时代的批判性思维

IF 1.6 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Pervasive Computing Pub Date : 2023-07-01 DOI:10.1109/MPRV.2023.3275514

Nattapat Boonprakong, Benjamin Tag, Tilman Dingler

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引用次数: 1

摘要

算法越来越多地整理我们在网上看到的信息，优先考虑注意力和参与度。通过迎合个人偏好，他们证实了现有的观点，并强化了认知偏见。当涉及到气候变化或堕胎权等两极分化的话题时，算法信息管理和认知偏见的结合很容易扭曲我们的认知，从而削弱我们的批判性思维能力，同时为错误信息创造繁荣的基础。为了遏制错误信息的传播，需要围绕认知偏见、计算系统和在线平台设计之间的相互作用制定研究议程。在这篇文章中，我们综合了一系列研讨会的见解，提出了一个研究议程，并通过人机交互和设计的视角为支持批判性思维的技术绘制了蓝图。我们讨论了在线媒体的可供性，以及它们如何优先教用户如何更好地发现错误信息并在在线环境中行事。

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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Designing Technologies to Support Critical Thinking in an Age of Misinformation

Algorithms increasingly curate the information we see online, prioritizing attention and engagement. By catering to personal preferences, they confirm existing opinions and reinforce cognitive biases. When it comes to polarizing topics such as climate change or abortion rights, the combination of algorithmic information curation and cognitive biases can easily skew our perception and, thus, undermine our critical thinking abilities while creating a thriving ground for misinformation. To curb the spread of misinformation, a research agenda is needed around the interplay between cognitive biases, computing systems, and online platform design. In this article, we synthesize insights from a workshop series, propose a research agenda, and sketch out a blueprint for technologies to support critical thinking through the lens of human–computer interaction and design. We discuss the affordances of online media and how they could prioritize teaching users how to spot misinformation better and conduct themselves in online environments.

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来源期刊

IEEE Pervasive Computing 工程技术-电信学

CiteScore

4.10

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： IEEE Pervasive Computing explores the role of computing in the physical world–as characterized by visions such as the Internet of Things and Ubiquitous Computing. Designed for researchers, practitioners, and educators, this publication acts as a catalyst for realizing the ideas described by Mark Weiser in 1988. The essence of this vision is the creation of environments saturated with sensing, computing, and wireless communication that gracefully support the needs of individuals and society. Many key building blocks for this vision are now viable commercial technologies: wearable and handheld computers, wireless networking, location sensing, Internet of Things platforms, and so on. However, the vision continues to present deep challenges for experts in areas such as hardware design, sensor networks, mobile systems, human-computer interaction, industrial design, machine learning, data science, and societal issues including privacy and ethics. Through special issues, the magazine explores applications in areas such as assisted living, automotive systems, cognitive assistance, hardware innovations, ICT4D, manufacturing, retail, smart cities, and sustainability. In addition, the magazine accepts peer-reviewed papers of wide interest under a general call, and also features regular columns on hot topics and interviews with luminaries in the field.