Do you "like" my tweets? Exploring verbal and visual cues in traveler's dual-coding process

Grounded in the dual-coding theory, this study explores the nuanced factors influencing individuals' travel intentions during the COVID-19 crisis. Utilizing sophisticated text mining and deep learning techniques on a corpus of travel-related tweets, three verbal cues (nature, humanities, touris...

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Vydáno v:Journal of travel & tourism marketing Ročník 42; číslo 5; s. 693 - 707
Hlavní autoři: Luo, Yi, Zheng, Jie, Tang, Liang Rebecca, Wang, Xi, Yang, Lei
Médium: Journal Article
Jazyk:angličtina
Vydáno: Binghamton Routledge 13.06.2025
Taylor & Francis LLC
Témata:
Coding theory
Deep learning
Dual-coding theory
image classification
online review
twitter
ISSN:1054-8408, 1540-7306
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Popis
Shrnutí:Grounded in the dual-coding theory, this study explores the nuanced factors influencing individuals' travel intentions during the COVID-19 crisis. Utilizing sophisticated text mining and deep learning techniques on a corpus of travel-related tweets, three verbal cues (nature, humanities, tourism services), and five visual cues (foods, people, scenery, pandemic control, promotion) were identified. Findings reveal that most visual cues, such as food, people, and pandemic control, positively impact the appeal of travel tweets, while promotion has a negative effect. Among the verbal cues, nature and humanities contribute positively to likes, whereas tourism services show a negative influence.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1054-8408
1540-7306
DOI:10.1080/10548408.2025.2455436