Document Sampling

Document Sampling is a methodological technique in document review that systematically selects a subset of documents from a larger corpus to enable efficient and representative analysis while maintaining the integrity of the overall dataset.

22

Publications

1.6K

Citations

63

Authors

34

Institutions

Publications per year

2017–2026

3

Authors

63

  1. DR
    Daniel Riffe

    University of North Carolina at Chapel Hill, United States

    3 publications · 594 citations

    3

    h-index

  2. SL
    Stephen Lacy

    Michigan State University, United States

    3 publications · 594 citations

    3

    h-index

  3. ZB
    Ziv Bar-Yossef

    Technion – Israel Institute of Technology, Israel

    2 publications · 233 citations

    2

    h-index

  4. MG
    Maxim Gurevich

    Technion – Israel Institute of Technology, Israel

    2 publications · 233 citations

    2

    h-index

  5. SK
    S. Keller

    Goethe University Frankfurt, Germany

    1 publications · 10 citations

    1

    h-index

1–5 of 63

Venues

  1. Journalism & Mass Communication Quarterly

    JMCQ · 2 publications · 151 citations

    2

    h-index

  2. Organizational Research Methods

    ORM · 1 publications · 12 citations

    1

    h-index

  3. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 1 publications · 10 citations

    1

    h-index

  4. Computational Communication Research

    1 publications · 29 citations

    1

    h-index

  5. Archivaria (Association of Canadian Archivists)

    Repository · 1 publications · 16 citations

    1

    h-index

1–5