Political Data Aggregation

Political Data Aggregation is a methodological construct in data ethics that integrates diverse voter-related datasets from multiple sources into a unified analytical framework to enable targeted political campaigning, distinguished by its specific application to electoral influence strategies and its implications for privacy, consent, and surveillance in democratic processes.

78

Publications

4.9K

Citations

181

Authors

100

Institutions

Publications per year

2017–2026

30

Authors

181

  1. JT
    Jan Teorell

    Lund University, Sweden

    5 publications · 594 citations

    5

    h-index

  2. MC
    Michael Coppedge

    University of Notre Dame, United States

    5 publications · 594 citations

    5

    h-index

  3. SS
    Svend‐Erik Skaaning

    Aarhus University, Denmark

    5 publications · 594 citations

    5

    h-index

  4. SI
    Staffan I. Lindberg

    University of Gothenburg, Sweden

    5 publications · 594 citations

    5

    h-index

  5. PP
    Pamela Paxton

    The Ohio State University, United States

    2 publications · 72 citations

    2

    h-index

1–5 of 181

Venues

  1. SSRN Electronic Journal

    Repository · 7 publications · 325 citations

    7

    h-index

  2. Public Opinion Quarterly

    POQ · 5 publications · 154 citations

    5

    h-index

  3. American Political Science Review

    4 publications · 618 citations

    4

    h-index

  4. Choice Reviews Online

    CRO · 4 publications · 219 citations

    4

    h-index

  5. American Journal of Political Science

    AJPS · 2 publications · 82 citations

    2

    h-index

1–5