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
Parents
16
1–5 of 16
36
Massachusetts Institute of Technology, United States
1 publications · 17 citations
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 36
17
University of Minnesota System
Minneapolis, United States
2 h-index
2 publications
55 citations
Dartmouth College
Hanover, United States
1 h-index
3 publications
102 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
4 publications
140 citations

University of North Texas
Denton, United States
1 h-index
1 publications
11 citations
Södertörn University
Huddinge, Sweden
1 h-index
1 publications
15 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
17 citations
Ohio University
Athens, United States
1 h-index
3 publications
102 citations
Arizona State University
Tempe, United States
1 h-index
1 publications
11 citations
1–8 of 17
2 publications · 51 citations
2
h-index
TCQ · 2 publications · 55 citations
2
h-index
IWE · 1 publications · 14 citations
1
h-index
Repository · 1 publications · 12 citations
1
h-index
C&S · 1 publications · 34 citations
1
h-index
1–5