Information Elicitation

Information Elicitation is a methodological framework within the field of incentive-compatible mechanism design that systematically structures open-ended questioning to extract truthful and comprehensive private information from strategic agents by aligning their incentives with the goals of the interrogative process.

160

Publications

15.5K

Citations

337

Authors

167

Institutions

Publications per year

2017–2026

47

Authors

337

  1. YC
    Yiling Chen

    Harvard University Press, United States

    12 publications · 514 citations

    11

    h-index

  2. GS
    Grant Schoenebeck

    University of Michigan, United States

    7 publications · 130 citations

    7

    h-index

  3. YK
    Yuqing Kong

    University of Michigan, United States

    7 publications · 130 citations

    7

    h-index

  4. AV
    Aldert Vrij

    University of Portsmouth, United Kingdom

    6 publications · 96 citations

    6

    h-index

  5. BF
    Boi Faltings

    École Polytechnique Fédérale de Lausanne, Switzerland

    4 publications · 160 citations

    4

    h-index

1–5 of 337

Venues

  1. SSRN Electronic Journal

    Repository · 10 publications · 291 citations

    10

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 7 publications · 357 citations

    7

    h-index

  3. arXiv (Cornell University)

    Repository · 6 publications · 103 citations

    6

    h-index

  4. Journal of Political Economy

    JPE · 5 publications · 716 citations

    5

    h-index

  5. Journal of Marketing Research

    4 publications · 289 citations

    4

    h-index

1–5