Algorithms profoundly shape user experiences on digital platforms, raising concerns about their negative impacts and highlighting the importance of algorithm literacy. Research on individuals’ understanding of algorithms and their effects is expanding rapidly but lacks a cohesive framework. We conducted a systematic integrative literature review across social sciences and humanities (n = 169), addressing algorithm literacy in terms of its key conceptualizations and the endogenous, exogenous, and personal factors that influence it. We argue that existing research can be framed in terms of experiential learning cycles and outline how this approach can be beneficial for acquiring algorithm literacy. Finally, we propose a future research agenda that includes defining core competencies relevant to algorithm literacy, standardization of measures, integrating subjective and factual aspects of algorithm literacy, and task- and domain-specific approaches.

中文翻译：

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算法媒体使用和算法素养：综合文献综述


算法深刻地塑造了数字平台上的用户体验，引发了人们对其负面影响的担忧，并凸显了算法素养的重要性。关于个人对算法及其效果的理解的研究正在迅速扩大，但缺乏一个有凝聚力的框架。我们进行了跨社会科学和人文学科的系统综合文献综述 （n = 169），从其关键概念化以及影响它的内生、外生和个人因素方面解决了算法素养。我们认为，现有的研究可以根据体验式学习周期来构建，并概述了这种方法如何有利于获得算法素养。最后，我们提出了一个未来的研究议程，其中包括定义与算法素养相关的核心能力、措施的标准化、整合算法素养的主观和事实方面，以及特定于任务和领域的方法。