A guideline for understanding and measuring algorithmic governance in everyday life
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 un...
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| Format: | Article |
| Language: | English |
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Alexander von Humboldt Institute for Internet and Society
2019-06-01
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| Series: | Internet Policy Review |
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| Online Access: | https://policyreview.info/node/1415 |
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| _version_ | 1849706946405335040 |
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| author | Michael Latzer Noemi Festic |
| author_facet | Michael Latzer Noemi Festic |
| author_sort | Michael Latzer |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0f9f164742b1478fa1af18c6dce2be1c |
| institution | DOAJ |
| issn | 2197-6775 |
| language | English |
| publishDate | 2019-06-01 |
| publisher | Alexander von Humboldt Institute for Internet and Society |
| record_format | Article |
| series | Internet Policy Review |
| spelling | doaj-art-0f9f164742b1478fa1af18c6dce2be1c2025-08-20T03:16:04ZengAlexander von Humboldt Institute for Internet and SocietyInternet Policy Review2197-67752019-06-018210.14763/2019.2.1415A guideline for understanding and measuring algorithmic governance in everyday lifeMichael Latzer0Noemi Festic1University of ZurichUniversity of ZurichAlgorithmic 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.https://policyreview.info/node/1415Algorithmic governancePolicymakingReality constructionEveryday lifeMixed-methods |
| spellingShingle | Michael Latzer Noemi Festic A guideline for understanding and measuring algorithmic governance in everyday life Internet Policy Review Algorithmic governance Policymaking Reality construction Everyday life Mixed-methods |
| title | A guideline for understanding and measuring algorithmic governance in everyday life |
| title_full | A guideline for understanding and measuring algorithmic governance in everyday life |
| title_fullStr | A guideline for understanding and measuring algorithmic governance in everyday life |
| title_full_unstemmed | A guideline for understanding and measuring algorithmic governance in everyday life |
| title_short | A guideline for understanding and measuring algorithmic governance in everyday life |
| title_sort | guideline for understanding and measuring algorithmic governance in everyday life |
| topic | Algorithmic governance Policymaking Reality construction Everyday life Mixed-methods |
| url | https://policyreview.info/node/1415 |
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