Abstract

Reviews of tourism amenities posted online by tourists represent an emerging source of data to support tourism research. To obtain this user-generated content (UGC), either a time-consuming manual transcription or the use of automated web harvesting – a controversial practice – is required. This paper describes the use of automated web harvesting to extract review data on the Canadian province of Nova Scotia from a major travel review website. We present a summary of the reviews by type, spatial distribution, and star rating. We then discuss the benefits of and challenges to the collection and use of UGC. We conclude with four potential approaches for tourism researchers interested in obtaining access to UGC.

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