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Characterizing the location of tourist images in cities. Differences in user-generated images (Instagram), official tourist brochures and travel guides

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  • Paül i Agustí, Daniel

Abstract

This study analyses the extent to which there is an overlap in the territorial distribution and attractiveness of tourism images distributed via three different media: official tourist brochures, travel guides and user-generated content (Instagram). We applied a mixed-method approach, which included spatial analyses and cartography, to study the promotion of tourism in Montevideo (Uruguay). The results indicated a partial overlap between the locations captured in user-generated images and those promoted by official tourist brochures and travel guides. The findings suggest a territorial distribution of tourism images that is clearly differentiated according to the source(s). This provides useful insights for applications of social media into future geographical and image management research.

Suggested Citation

  • Paül i Agustí, Daniel, 2018. "Characterizing the location of tourist images in cities. Differences in user-generated images (Instagram), official tourist brochures and travel guides," Annals of Tourism Research, Elsevier, vol. 73(C), pages 103-115.
    • Handle: RePEc:eee:anture:v:73:y:2018:i:c:p:103-115
    DOI: 10.1016/j.annals.2018.09.001
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    1. Francesco Capone & Rafael Boix, 2008. "Sources of growth and competitiveness of local tourist production systems: an application to Italy (1991–2001)," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 209-224, March.
    2. Stepchenkova, Svetlana & Zhan, Fangzi, 2013. "Visual destination images of Peru: Comparative content analysis of DMO and user-generated photography," Tourism Management, Elsevier, vol. 36(C), pages 590-601.
    3. Hunter, William Cannon, 2016. "The social construction of tourism online destination image: A comparative semiotic analysis of the visual representation of Seoul," Tourism Management, Elsevier, vol. 54(C), pages 221-229.
    4. Llodrà-Riera, Isabel & Martínez-Ruiz, María Pilar & Jiménez-Zarco, Ana Isabel & Izquierdo-Yusta, Alicia, 2015. "A multidimensional analysis of the information sources construct and its relevance for destination image formation," Tourism Management, Elsevier, vol. 48(C), pages 319-328.
    5. Balomenou, Nika & Garrod, Brian, 2014. "Using volunteer-employed photography to inform tourism planning decisions: A study of St David's Peninsula, Wales," Tourism Management, Elsevier, vol. 44(C), pages 126-139.
    6. 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.
    7. Tanel Tammet & Ago Luberg & Priit Järv, 2013. "Sightsmap: Crowd-Sourced Popularity of the World Places," Springer Books, in: Lorenzo Cantoni & Zheng (Phil) Xiang (ed.), Information and Communication Technologies in Tourism 2013, edition 127, pages 314-325, Springer.
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