Data-driven Advertising Regulation

Data-Driven Advertising Regulation is a regulatory framework that systematically integrates empirical data, analytical models, and real-time monitoring technologies to inform, refine, and enforce advertising compliance, thereby distinguishing itself from traditional rule-based approaches through its reliance on quantitative evidence and adaptive decision-making processes.

7

Publications

857

Citations

18

Authors

24

Institutions

Publications per year

2017–2026

5

Authors

18

  1. JF
    Jordi Forné

    Universitat Politècnica de Catalunya, Spain

    1 publications · 30 citations

    1

    h-index

  2. AD
    Anupam Datta

    Carnegie Mellon University, United States

    1 publications · 666 citations

    1

    h-index

  3. AR
    Ana Rodríguez-Hoyos

    National Polytechnic School, Ecuador

    1 publications · 30 citations

    1

    h-index

  4. IG
    Inge Graef

    Tilburg University, Netherlands

    1 publications · 39 citations

    1

    h-index

  5. SL
    Sarah Lemaire

    Université de Reims Champagne-Ardenne, France

    1 publications · 11 citations

    1

    h-index

1–5 of 18

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 50 citations

    2

    h-index

  2. Proceedings on Privacy Enhancing Technologies

    PoPETs · 1 publications · 666 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Journal of Advertising

    1 publications · 55 citations

    1

    h-index

1–5