Like Behavior

Like Behavior is a user engagement metric that quantifies affirmative user interactions with digital content through explicit, low-effort endorsements such as点赞, hearts, or thumbs-up indicators, distinguishing it from other engagement forms by its simplicity, scalability, and primary role in signaling content relevance and user preference within social computing systems.

174

Publications

12.8K

Citations

574

Authors

263

Institutions

Publications per year

2017–2026

99

Authors

574

  1. CT
    Caleb T. Carr

    Illinois State University, United States

    3 publications · 180 citations

    3

    h-index

  2. EM
    Erin M. Sumner

    Trinity University, United States

    3 publications · 178 citations

    3

    h-index

  3. RA
    Rebecca A. Hayes

    Illinois State University, United States

    3 publications · 180 citations

    3

    h-index

  4. ED
    Emiliano De Cristofaro

    University College London, United Kingdom

    2 publications · 123 citations

    2

    h-index

  5. CL
    Chen Lou

    Nanyang Technological University, Singapore

    2 publications · 194 citations

    2

    h-index

1–5 of 574

Venues

  1. Computers in Human Behavior

    6 publications · 637 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 76 citations

    4

    h-index

  3. Journal of Experimental Social Psychology

    4 publications · 116 citations

    4

    h-index

  4. Sustainability

    3 publications · 109 citations

    3

    h-index

  5. SSRN Electronic Journal

    Repository · 3 publications · 228 citations

    3

    h-index

1–5