Algorithmic Luck

Algorithmic Luck is a scholarly construct in the study of digital superstitions that denotes the perceived influence of random or non-deterministic algorithmic outcomes on individual success, distinguished by the attribution of fortuitous computational behavior to personal or situational advantage rather than systemic design or statistical probability.

2

Publications

33

Citations

3

Authors

4

Institutions

Publications per year

2017–2026

1

Authors

3

  1. MG
    Maximilian Germann

    European Central Bank, Germany

    1 publications · 14 citations

    1

    h-index

  2. YM
    Young Mie Kim

    University of Wisconsin–Madison, United States

    1 publications · 19 citations

    1

    h-index

  3. CM
    Christoph Merkle

    University of Mannheim, Germany

    1 publications · 14 citations

    1

    h-index

1–3 of 3

Institutions

4

Venues

  1. SSRN Electronic Journal

    Repository · 1 publications · 14 citations

    1

    h-index

  2. The Forum

    1 publications · 19 citations

    1

    h-index

1–2