A critical discussion on applying user-generated content to interdisciplinary research in tourism and health science
Author Identifier
Document Type
Journal Article
Publication Title
Current Issues in Tourism
Publisher
Taylor & Francis
School
School of Business and Law / Centre for Precision Health
RAS ID
72492
Funders
China Scolarship Council & Edith Cowan University Joint PhD Scolarship (202109327004) / National Natural Science Foundation of China (72172002)
Abstract
The increasing popularity of user-generated content (UGC) as a type of secondary data is evident in many social science disciplines, including tourism. Although tourism research can enjoy numerous advantages from adopting UGC as a data source, relevant limitations must be acknowledged–especially for interdisciplinary studies combining tourism with other domains such as medical science. For example, some methodological caveats should be kept in mind when seeking to understand specific populations’ behaviours, experiences, and the therapeutic efficacy of tourism engagement (e.g. for vulnerable populations with health conditions). UGC data have been critiqued in the hard sciences for not adhering to the fundamental principles of reproducibility, reliability, and relevance; these data are thus typically seen as supplementary rather than a principal knowledge source. This article is meant to open a constructive academic debate on the use of UGC in interdisciplinary research between tourism and health science to ensure study rigour via suitable sampling strategies and data. A framework is also proposed to guide UGC adoption in studies between these disciplines. Research involving tourists with intellectual disabilities is described to illustrate the importance of leveraging UGC effectively.
DOI
10.1080/13683500.2024.2404999
Access Rights
subscription content
Comments
Wen, J., Hu, F., Yang, S., & Hou, H. (2024). A critical discussion on applying user-generated content to interdisciplinary research in tourism and health science. Current Issues in Tourism. Advance online publication. https://doi.org/10.1080/13683500.2024.2404999