Concepedia

False Complaint Detection

False Complaint Detection is a methodological framework within complaint screening that identifies and differentiates invalid or factually unsubstantiated complaints from genuine ones by applying systematic analytical criteria.

1

Publications

56

Citations

3

Authors

4

Institutions

Publications per year

2017–2026

0

Parents

Publications

1

1–1 of 1

Authors

3

  1. MB
    Michael Bagby

    University of Toronto, Canada

    1 publications · 56 citations

    1

    h-index

  2. MS
    Martin Sellbom

    University of Otago, New Zealand

    1 publications · 56 citations

    1

    h-index

  3. DB
    Dustin B. Wygant

    Eastern Kentucky University, United States

    1 publications · 56 citations

    1

    h-index

1–3 of 3

Institutions

4

  1. University of Toronto

    Toronto, Canada

    1 h-index

    1 publications

    56 citations

  2. Eastern Kentucky University

    Richmond, United States

    1 h-index

    1 publications

    56 citations

  3. The Scarborough Hospital

    Toronto, Canada

    1 h-index

    1 publications

    56 citations

  4. University of Alabama

    Tuscaloosa, United States

    1 h-index

    1 publications

    56 citations

1–4 of 4

Venues

  1. Psychiatry Research

    1 publications · 56 citations

    1

    h-index

1–1