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

Authors

104

  1. AG
    Abel Guerra

    London School of Economics and Political Science, United Kingdom

    2 publications · 56 citations

    2

    h-index

  2. BM
    Bruno Moreschi

    Universidade de São Paulo, Brazil

    2 publications · 56 citations

    2

    h-index

  3. JM
    Jeroen Meijerink

    University of Twente, Netherlands

    2 publications · 275 citations

    2

    h-index

  4. RG
    Rafael Grohmann

    University of Toronto, Canada

    2 publications · 56 citations

    2

    h-index

  5. GP
    Gabriel Pereira

    Aarhus University, Denmark

    1 publications · 43 citations

    2

    h-index

1–5 of 104

Venues

  1. Human Resource Management

    2 publications · 162 citations

    2

    h-index

  2. Surveillance & Society

    1 publications · 32 citations

    2

    h-index

  3. Environment and Planning A Economy and Space

    1 publications · 322 citations

    1

    h-index

  4. 1

    h-index

  5. IEEE Internet Computing

    1 publications · 48 citations

    1

    h-index

1–5