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

Authors

346

  1. AD
    Arie Dijkstra

    University of Groningen, Netherlands

    4 publications · 258 citations

    4

    h-index

  2. SY
    Shuk Ying Ho

    Australian National University, Australia

    4 publications · 776 citations

    4

    h-index

  3. EG
    Edith G. Smit

    University of Amsterdam, Netherlands

    3 publications · 223 citations

    3

    h-index

  4. NH
    Natali Helberger

    University of Amsterdam, Netherlands

    3 publications · 636 citations

    3

    h-index

  5. FD
    Freya De Keyzer

    University of Antwerp, Belgium

    3 publications · 362 citations

    3

    h-index

1–5 of 346

Venues

  1. Computers in Human Behavior

    8 publications · 931 citations

    8

    h-index

  2. SSRN Electronic Journal

    Repository · 5 publications · 212 citations

    5

    h-index

  3. Journal of Consumer Psychology

    3 publications · 190 citations

    3

    h-index

  4. Journal of Interactive Advertising

    3 publications · 388 citations

    3

    h-index

  5. Journal of the Association for Information Systems

    JAIS · 3 publications · 692 citations

    3

    h-index

1–5