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Cited by 424

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software

Lu, Weilin, Stepchenkova, Svetlana·2015·Journal of Hospitality Marketing & Management

Abstract

The rapid growth of information generated by consumers of tourism and hospitality services calls for a systematic review of how user-generated content (UGC) has been applied in tourism and hospitality research. This study surveyed 122 peer-reviewed journal articles and conference proceedings that used UGC as a data source. The study investigates (a) the scope of the tourism and hospitality issues that are addressed using available UGC; (b) the methods that have been applied to UGC data to achieve research objectives; and (c) the software that has been used to collect UGC and extract information from large UGC data sets. The study also presents the emerging topics and challenges in UGC research.

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Crossref · 10.1080/19368623.2014.907758

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Metadata

Authors
Lu, W., & Stepchenkova, S.
Venue
Journal of Hospitality Marketing & Management
Published
2014-11-14
Volume
24
Issue
2
Pages
119-154
ISSN
  • 1936-8623 (ISSN-L)
  • 1936-8631
OpenAlex
W2040882218
Cited by
424
References
4
FWCI
55.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software. https://app.cochat.ai/papers/10.1080/19368623.2014.907758
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Lu, W., & Stepchenkova, S. (2015). User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software. Journal of Hospitality Marketing & Management. https://doi.org/10.1080/19368623.2014.907758

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.