Personalization Effects
Personalization Effects is a theoretical construct in digital audience engagement that denotes the measurable influence of tailored content, interface, or interaction design on user behavior, cognition, or affective response, distinguished by its focus on systematic variations in audience outcomes resulting from algorithmic or rule-based individualization strategies.
156
Publications
15.4K
Citations
346
Authors
197
Institutions
Publications per year
2017–2026
54
Parents
156
1–5 of 156
346
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1–5 of 346
197

University of Amsterdam
Amsterdam, The Netherlands
8 h-index
24 publications
4.2K citations

Pennsylvania State University
State College, United States
6 h-index
8 publications
2.5K citations
University of Antwerp
Antwerp, Belgium
5 h-index
15 publications
1.5K citations

University of Groningen
Groningen, The Netherlands
4 h-index
5 publications
347 citations
University of Miami
Coral Gables, United States
4 h-index
5 publications
315 citations
University of Southern California
Los Angeles, United States
4 h-index
6 publications
2.2K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
4 publications
1.1K citations

University of Waterloo
Waterloo, Canada
3 h-index
4 publications
265 citations
1–8 of 197
8 publications · 931 citations
8
h-index
Repository · 5 publications · 212 citations
5
h-index
3 publications · 190 citations
3
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3 publications · 388 citations
3
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JAIS · 3 publications · 692 citations
3
h-index
1–5