Computer supported analysis of Thailand's imagery on Pinterest

This paper reports findings and introduces an innovative methodological approach deployed to explore how complex visual imagery on Pinterest represents Thailand and how commercial and private users differ in this respect. For this purpose, visual content analysis of 300 images was performed in which...

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Bibliographic Details
Published inCurrent issues in tourism Vol. 23; no. 15; pp. 1833 - 1839
Main Authors Janša, Tadeja, Wattanacharoensil, Walanchalee, Kolar, Tomaž
Format Journal Article
LanguageEnglish
Published Abingdon Routledge 02.08.2020
Taylor & Francis Ltd
Subjects
Computer vision
Content analysis
destination image
Digital media
Imagery
Labeling
Mental task performance
Pinterest
Thailand
visual content analysis
Visual system
Visual UGC
Thailand
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Summary:This paper reports findings and introduces an innovative methodological approach deployed to explore how complex visual imagery on Pinterest represents Thailand and how commercial and private users differ in this respect. For this purpose, visual content analysis of 300 images was performed in which computer vision labelling and a subsequent manual thematic analysis were deployed during a two-step procedure. The obtained findings reveal that significant differences exist among both types of users regarding some frequently depicted themes (architecture, animals) and regarding textual, graphic and substantive content. These differences in turn inform the theoretical and practical implications for improved communication on social media. The limitations of the study are also discussed.
ISSN:1368-3500
1747-7603
DOI:10.1080/13683500.2019.1631761