Campaign Data Analytics

Campaign Data Analytics is a methodological framework within political microtargeting that systematically employs statistical and computational techniques to collect, process, and interpret voter-level data for optimizing campaign strategies and resource allocation.

72

Publications

5K

Citations

147

Authors

105

Institutions

Publications per year

2017–2026

45

Authors

147

  1. JB
    Jessica Baldwin-Philippi

    Fordham University, United States

    3 publications · 230 citations

    3

    h-index

  2. KE
    Kyle Endres

    Duke University, United States

    2 publications · 57 citations

    2

    h-index

  3. YL
    Yuncheng Li

    University of Rochester, United States

    2 publications · 74 citations

    2

    h-index

  4. JA
    Julie A. Edell

    Duke University, United States

    2 publications · 299 citations

    2

    h-index

  5. JL
    Jiebo Luo

    University of Rochester, United States

    2 publications · 74 citations

    2

    h-index

1–5 of 147

Venues

  1. Internet Policy Review

    5 publications · 348 citations

    5

    h-index

  2. Journal of Information Technology & Politics

    JITP · 4 publications · 1.2K citations

    4

    h-index

  3. Political Communication

    3 publications · 231 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 65 citations

    2

    h-index

  5. 2

    h-index

1–5