User-generated Content Analysis

User-Generated Content Analysis is a scholarly methodological framework within content analytics that systematically examines digital artifacts authored by non-professional users to extract, interpret, and evaluate patterns, sentiments, behaviors, and meanings distinct from institutionally produced content.

598

Publications

38.8K

Citations

1.7K

Authors

719

Institutions

Publications per year

2017–2026

355

Authors

1.7K

  1. JR
    José Ramón Saura

    Universidad Rey Juan Carlos, Spain

    8 publications · 588 citations

    8

    h-index

  2. BH
    Brent Hecht

    Northwestern University, United States

    7 publications · 484 citations

    7

    h-index

  3. GP
    Gabriella Pasi

    University of Milano-Bicocca, Italy

    5 publications · 174 citations

    5

    h-index

  4. MV
    Marco Viviani

    University of Milano-Bicocca, Italy

    5 publications · 174 citations

    5

    h-index

  5. SP
    Symeon Papadopoulos

    Centre for Research and Technology Hellas, Greece

    4 publications · 166 citations

    4

    h-index

1–5 of 1.7K

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 417 citations

    12

    h-index

  2. Sustainability

    14 publications · 687 citations

    12

    h-index

  3. Current Issues in Tourism

    10 publications · 609 citations

    10

    h-index

  4. 8

    h-index

  5. Online Information Review

    8 publications · 414 citations

    8

    h-index

1–5