Hashtag Amplification

Hashtag Amplification is a computational framework within the field of digital activism that identifies, measures, and models the mechanisms through which hashtag-based social media content gains increased visibility, engagement, and discursive reach across networked publics.

8

Publications

601

Citations

25

Authors

13

Institutions

Publications per year

2017–2026

7

Authors

25

  1. CC
    Carlos Cruz

    Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico

    1 publications · 178 citations

    1

    h-index

  2. LS
    Lisa Singh

    Georgetown University, United States

    1 publications · 13 citations

    1

    h-index

  3. CS
    Carlo Schwarz

    Bocconi University, Italy

    1 publications · 236 citations

    1

    h-index

  4. AA
    Ahmed Al‐Rawi

    Simon Fraser University, Canada

    1 publications · 17 citations

    1

    h-index

  5. DG
    Daniel G. Krutka

    University of North Texas, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 25

Venues

  1. Journal of Research on Technology in Education

    JRTE · 1 publications · 16 citations

    1

    h-index

  2. Feminist Media Studies

    1 publications · 17 citations

    1

    h-index

  3. Information Systems Research

    ISR · 1 publications · 76 citations

    1

    h-index

  4. Journal of Online Trust and Safety

    1 publications · 45 citations

    1

    h-index

  5. American Economic Journal Applied Economics

    1 publications · 236 citations

    1

    h-index

1–5