Journal
CURRENT ISSUES IN TOURISM
Volume 22, Issue 1, Pages 35-49Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/13683500.2017.1361908
Keywords
sharing economy; automated content analysis; Leximancer; comparative analysis; news articles; sample size
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Using the sharing economy (SE) as the context, this article provides a coherent and nuanced methodological understanding of automated content analysis (ACA) in tourism and hospitality (TH) field. By adopting a comparative ACA approach, the paper compares the current TH Western academic literature of the SE with news media discourse in TH from the period 2011-2016 (August) (inclusive). The emerging issues from the news media discourse, such as mobility, SE companies and the role of government, are absent in current tourism academic research. Findings reveal that ACA can facilitate a more systematic comparison between different sources of data. This paper offers a starting point for tourism scholars to methodologically engage with ACA that can draw useful insights on a particular context.
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