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
Parents
598
Mine Your Own Business: Market-Structure Surveillance Through Text Mining
Oded Netzer, Ronen Feldman, Jacob Goldenberg et al. · Marketing Science · 2012 · 704 citations
1–5 of 598
1.7K
8
h-index
7
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5
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5
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4
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1–5 of 1.7K
719
University of Houston
Houston, United States
9 h-index
10 publications
1.8K citations
Universidad Rey Juan Carlos
Madrid, Spain
9 h-index
16 publications
820 citations
New York University
New York, United States
7 h-index
8 publications
1.7K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
7 h-index
11 publications
1.5K citations
University of Maryland, College Park
College Park, United States
7 h-index
15 publications
1.4K citations
King's College London
London, United Kingdom
7 h-index
17 publications
1.7K citations
Nanyang Technological University
Singapore, Singapore
6 h-index
15 publications
1.3K citations
National University of Singapore
Singapore, Singapore
6 h-index
13 publications
5.4K citations
1–8 of 719
Repository · 13 publications · 417 citations
12
h-index
14 publications · 687 citations
12
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10 publications · 609 citations
10
h-index
8 publications · 441 citations
8
h-index
8 publications · 414 citations
8
h-index
1–5