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Effect of tourist photographs on attitudes towards destination: Manifest and latent content

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  • Kim, Hany
  • Stepchenkova, Svetlana

Abstract

In the sender-message-receiver communication model, tourist photographs project organic destination images which are interpreted on the receiving end of the communication channel by potential tourists, influencing their tourism-related attitudes and affecting behavior. This study investigated how photographs taken by American and Korean tourists while visiting Russia and posted in travel blogs and on media-sharing websites affect perceptions of Russia as a travel destination by those who view these images. The study specifically focused on latent content of tourist photographs with respect to such destination attributes as crowdedness, cleanliness, level of economic development, personal safety, level of modernity, friendliness, uniqueness, and extent of commercialization, as well as affective qualities of destination places. Researchers evaluated the interplay between the manifest and latent content of the images and how each type of content separately and both types together affected attitudes of viewers towards the destination and their desire to visit it.

Suggested Citation

  • Kim, Hany & Stepchenkova, Svetlana, 2015. "Effect of tourist photographs on attitudes towards destination: Manifest and latent content," Tourism Management, Elsevier, vol. 49(C), pages 29-41.
    • Handle: RePEc:eee:touman:v:49:y:2015:i:c:p:29-41
    DOI: 10.1016/j.tourman.2015.02.004
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    References listed on IDEAS

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    7. Yulin Chen, 2019. "Information Clues and Emotional Intentions: A Case Study of the Regional Image of the Cultural and Creative Community," Administrative Sciences, MDPI, vol. 9(2), pages 1-27, May.
    8. Yu, Joanne & Egger, Roman, 2021. "Color and engagement in touristic Instagram pictures: A machine learning approach," Annals of Tourism Research, Elsevier, vol. 89(C).
    9. Assumpcio Huertas & Estela Marine-Roig, 2016. "User reactions to destination brand contents in social media," Information Technology & Tourism, Springer, vol. 15(4), pages 291-315, January.
    10. Estela Marine-Roig & Eva Martin-Fuentes & Natalia Daries-Ramon, 2017. "User-Generated Social Media Events in Tourism," Sustainability, MDPI, vol. 9(12), pages 1-23, December.
    11. Giglio, Simona & Pantano, Eleonora & Bilotta, Eleonora & Melewar, T.C., 2020. "Branding luxury hotels: Evidence from the analysis of consumers’ “big” visual data on TripAdvisor," Journal of Business Research, Elsevier, vol. 119(C), pages 495-501.
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    13. Marios Kokkodis & Theodoros Lappas, 2020. "Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms," Information Systems Research, INFORMS, vol. 31(2), pages 412-430, June.
    14. Lourenção, Marina & de Moura Engracia Giraldi, Janaina & de Oliveira, Jorge Henrique Caldeira, 2020. "Destination advertisement semiotic signs: Analysing tourists' visual attention and perceived ad effectiveness," Annals of Tourism Research, Elsevier, vol. 84(C).
    15. Molinillo, Sebastian & Liébana-Cabanillas, Francisco & Anaya-Sánchez, Rafael & Buhalis, Dimitrios, 2018. "DMO online platforms: Image and intention to visit," Tourism Management, Elsevier, vol. 65(C), pages 116-130.
    16. Zajadacz Alina & Minkwitz Aleksandra, 2020. "Using Social Media Data to Plan for Tourism," Quaestiones Geographicae, Sciendo, vol. 39(3), pages 125-138, September.
    17. Balomenou, Nika & Garrod, Brian & Georgiadou, Andri, 2017. "Making sense of tourists' photographs using canonical variate analysis," Tourism Management, Elsevier, vol. 61(C), pages 173-179.
    18. Fangxuan (Sam) Li, 2020. "Chinese Tourists’ Barriers to Sharing Travel Photos in WeChat," Sustainability, MDPI, vol. 12(3), pages 1-13, January.
    19. Patricia P. Iglesias-Sánchez & Marisol B. Correia & Carmen Jambrino-Maldonado & Carlos de las Heras-Pedrosa, 2020. "Instagram as a Co-Creation Space for Tourist Destination Image-Building: Algarve and Costa del Sol Case Studies," Sustainability, MDPI, vol. 12(7), pages 1-26, April.
    20. Deng, Ning & Li, Xiang (Robert), 2018. "Feeling a destination through the “right” photos: A machine learning model for DMOs’ photo selection," Tourism Management, Elsevier, vol. 65(C), pages 267-278.
    21. Filieri, Raffaele & Lin, Zhibin & Pino, Giovanni & Alguezaui, Salma & Inversini, Alessandro, 2021. "The role of visual cues in eWOM on consumers’ behavioral intention and decisions," Journal of Business Research, Elsevier, vol. 135(C), pages 663-675.
    22. Lo, Louis Yi-Shih & Lin, Sheng-Wei & Hsu, Li-Yi, 2016. "Motivation for online impulse buying: A two-factor theory perspective," International Journal of Information Management, Elsevier, vol. 36(5), pages 759-772.
    23. Ashton M. Hooker & Kathryn E. Cooper, 2022. "Insta-spiration Sweeping the Nation: The Influence of Instagram on Intention to Travel to Yellowstone National Park," The Review of Socionetwork Strategies, Springer, vol. 16(1), pages 1-24, April.
    24. Qihang Qiu & Tianxiang Zheng & Zheng Xiang & Mu Zhang, 2019. "Visiting Intangible Cultural Heritage Tourism Sites: From Value Cognition to Attitude and Intention," Sustainability, MDPI, vol. 12(1), pages 1-20, December.

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