Digital Audience Analysis

Digital Audience Analysis is a systematic method for examining audience characteristics, behaviors, and interactions within digital environments through computational and data-driven techniques, distinguishing it from traditional audience analysis by its reliance on digital trace data, online platforms, and algorithmic tools to infer audience preferences and engagement patterns.

16

Publications

414

Citations

36

Authors

17

Institutions

Publications per year

2017–2026

9

Authors

36

  1. CE
    Catherine E. Tucker

    Massachusetts Institute of Technology, United States

    1 publications · 17 citations

    1

    h-index

  2. CL
    Chris Lam

    University of North Texas, United States

    1 publications · 11 citations

    1

    h-index

  3. AG
    Ana González-Neira

    Universidade da Coruña, Spain

    1 publications · 14 citations

    1

    h-index

  4. NN
    Nico Neumann

    Northwestern University, United States

    1 publications · 17 citations

    1

    h-index

  5. AH
    Adam Hutz

    University of California, Berkeley, United States

    1 publications · 113 citations

    1

    h-index

1–5 of 36

Venues

  1. Media Culture & Society

    2 publications · 51 citations

    2

    h-index

  2. Technical Communication Quarterly

    TCQ · 2 publications · 55 citations

    2

    h-index

  3. El Profesional de la Informacion

    IWE · 1 publications · 14 citations

    1

    h-index

  4. Ghent University Academic Bibliography (Ghent University)

    Repository · 1 publications · 12 citations

    1

    h-index

  5. Communication & Sport

    C&S · 1 publications · 34 citations

    1

    h-index

1–5