What Do We Know about Algorithmic Literacy? The Status Quo and a Research Agenda for a Growing Field
What Do We Know about Algorithmic Literacy? The Status Quo and a Research Agenda for a Growing Field
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我们对算法素养了解多少？
DOI：
10.31235/osf.io/2fd4j
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
German Neubaum
中科院分区：
文献类型：
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作者：
Anne Oeldorf;German Neubaum
随着越来越多的实证研究领域试图了解个人对算法的认识和知识水平，我们日常使用的技术中越来越多地出现了算法。这个领域的特点是在如何理论和衡量人们在与算法交互时的识字能力方面具有一定的多样性。我们建议集中于算法素养这一术语，该术语涵盖了先前研究使用的不同维度。本文通过系统地介绍理论构建和测量发展的初始步骤，总结了算法素养的知识状况。基于此，我们提出了一个议程，包括五个不同的方向，未来的研究可以集中在：1)建立理解算法素养的理论，2)解决算法素养的分歧，3)揭示算法素养与态度之间的关系，4)检验算法素养作为用户行为的预测因素，5)探索提高算法素养的方法。
The increasing emergence of algorithms in our daily use of technologies comes with a growing field of empirical research trying to understand how aware and knowledgeable individuals are about algorithms. This field is marked by a certain diversity in terms of how it theorizes and measures people’s literacy when interacting with algorithms. We propose converging on the term algorithmic literacy that covers different dimensions used by previous research. This article summarizes the state of knowledge on algorithmic literacy by systematically presenting initial steps in theory building and measurement development. Drawing on this, we propose an agenda including five different directions that future research could focus on: 1) theory building to understand algorithmic literacy, 2) addressing the algorithmic divide, 3) uncovering the relationship between algorithmic literacy and attitudes, 4) examining algorithmic literacy as predictor for user behavior, and 5) exploring ways to increase algorithmic literacy.
“我的视频对广告商的友好度如何？”：YouTuber 与算法内容审核的社会经济互动
影响因子：
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作者：
Ma, Renkai;Kou, Yubo
通讯作者：
Kou, Yubo
迈向用户驱动的算法审计：调查用户发现有害算法行为的策略
DOI：
10.1145/3491102.3517441
发表时间：
2022
期刊：
CHI '22: CHI Conference on Human Factors in Computing Systems
影响因子：
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作者：
DeVos, Alicia;Dhabalia, Aditi;Shen, Hong;Holstein, Kenneth;Eslami, Motahhare
通讯作者：
Eslami, Motahhare