Platform-based Targeting

Platform-Based Targeting is a methodological framework within political microtargeting that leverages user data and algorithmic infrastructures of digital platforms to identify, segment, and deliver tailored political content to specific audiences based on their online behaviors, preferences, and interactions.

5

Publications

185

Citations

13

Authors

7

Institutions

Publications per year

2017–2026

4

Authors

13

  1. MA
    Muhammad Ali

    University of Southern California, United States

    2 publications · 81 citations

    2

    h-index

  2. AK
    Aleksandra Korolova

    University of Southern California, United States

    2 publications · 81 citations

    2

    h-index

  3. AM
    Alan Mislove

    Northeastern University, United States

    2 publications · 81 citations

    2

    h-index

  4. PS
    Piotr Sapieżyński

    Technical University of Denmark, Denmark

    2 publications · 81 citations

    2

    h-index

  5. AR
    Aaron Rieke

    University of Southern California, United States

    2 publications · 81 citations

    2

    h-index

1–5 of 13

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 33 citations

    1

    h-index

  2. Journal of Political Marketing

    1 publications · 27 citations

    1

    h-index

  3. Internet Policy Review

    1 publications · 49 citations

    1

    h-index

  4. 1

    h-index

  5. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 1 publications · 11 citations

1–5