Algorithmic Monitoring
Algorithmic Monitoring is a methodological framework within the domain of monitoring ethics that employs computational algorithms to systematically observe, analyze, and evaluate behavioral, operational, or ethical compliance data in digital environments, distinguishing it from manual or human-led oversight by its reliance on automated, rule-based, or machine learning-driven decision processes.
41
Publications
3.9K
Citations
104
Authors
72
Institutions
Publications per year
2017–2026
35
Parents
41
Algorithmic regulation: A critical interrogation
Karen Yeung · Regulation & Governance · 2017 · 648 citations
1–5 of 41
104
London School of Economics and Political Science, United Kingdom
2 publications · 56 citations
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2
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2
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2
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2
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1–5 of 104
72
London School of Economics and Political Science
London, United Kingdom
4 h-index
4 publications
194 citations
University of Oxford
Oxford, United Kingdom
3 h-index
3 publications
781 citations

Aarhus University
Aarhus, Denmark
2 h-index
1 publications
13 citations
University College Dublin
Dublin, Ireland
2 h-index
2 publications
275 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
2 h-index
2 publications
56 citations

Universidade do Vale do Rio dos Sinos
São Leopoldo, Brazil
2 h-index
2 publications
56 citations
Universidade de São Paulo
São Paulo, Brazil
2 h-index
2 publications
56 citations

University of Twente
Enschede, The Netherlands
2 h-index
2 publications
275 citations
1–8 of 72
2 publications · 162 citations
2
h-index
1 publications · 32 citations
2
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1 publications · 322 citations
1
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1 publications · 88 citations
1
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1 publications · 48 citations
1
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1–5