Algorithmic governance affects individuals’ reality construction and consequently social order in societies. Vague concepts of algorithmic governance and the lack of comprehensive empirical insights into this kind of institutional steering by software from a user perspective may, however, lead to unrealistic risk assessments and premature policy conclusions. Therefore, this paper offers a theoretical model to measure the significance of algorithmic governance and an empirical mixed-methods approach to test it in different life domains. Applying this guideline should lead to a more nuanced understanding of the actual significance of algorithmic governance, thus contributing to an empirically better-informed risk assessment and governance of algorithms.

中文翻译：

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理解和衡量日常生活中算法治理的指南

算法治理会影响个人的现实建构，进而影响社会的社会秩序。但是，算法治理的模糊概念以及从用户角度对软件进行这种机构指导缺乏全面的经验性见解可能会导致不切实际的风险评估和过早的政策结论。因此，本文提供了一个理论模型来衡量算法治理的重要性，并提供了一种经验混合方法来在不同的生活领域对其进行测试。应用此指南应导致对算法治理的实际意义有更细致的了解，从而有助于从经验上更好地掌握信息的风险评估和算法治理。