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The defining features of emotions in online stories
Zhang, Wen1; Choe, Yeongbae2; Fesenmaier, Daniel R.3
2019
Source Publicatione-Review of Tourism Research
Volume16Issue:2-3Pages:136-145
AbstractOnline storytelling has become a powerful destination promotion strategy as it effectively conveys information and involves travellers emotionally through inspiring imagination. In this study, we use sentiment analyses to examine the emotion structures conveyed by 60 online stories related to various American destinations. We further examined the relationship between these key features and an important measure of story performance, the average length of time spent on the webpage reading the story. The results of these analyses demonstrate that emotion arousal levels at the start, peak and final stages of the story are significant predictors of reader involvement. The results of this research are consistent with the work by Kahneman and his colleagues and provide a valuable foundation for designing story-based online advertising.
KeywordEmotions Sentiment analysis Story structure Storytelling Tourism advertising
URLView the original
Language英語English
Scopus ID2-s2.0-85062533040
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Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Rosen College of Hospitality Management, University of Central Florida, Orlando, 9907 Universal Blvd., 32819, United States
2.Faculty of Business Administration, University of Macau, E33 Faculty of Business Administration, Taipa, Macau SAR, Avenida da Universidade, China
3.National Laboratory for Tourism and eCommerce, Florida International University, North Miami, 3000 N.E. 151st Street, 33181, United States
Recommended Citation
GB/T 7714
Zhang, Wen,Choe, Yeongbae,Fesenmaier, Daniel R.. The defining features of emotions in online stories[J]. e-Review of Tourism Research, 2019, 16(2-3), 136-145.
APA Zhang, Wen., Choe, Yeongbae., & Fesenmaier, Daniel R. (2019). The defining features of emotions in online stories. e-Review of Tourism Research, 16(2-3), 136-145.
MLA Zhang, Wen,et al."The defining features of emotions in online stories".e-Review of Tourism Research 16.2-3(2019):136-145.
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