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A detailed method for destination image analysis using user-generated content

Author

Listed:
  • Estela Marine-Roig

    (University of Lleida)

  • Salvador Anton Clavé

    (Rovira i Virgili University)

Abstract

Social media and user-generated content (UGC) have revolutionized tourism and hospitality communication and are seen as rich sources of information for destination image analysis. Many articles have been published about travel-related UGC, in particular, quantitative and qualitative content analysis of travel blogs and online travel reviews (OTR). Researchers have typically analysed small samples of population-representative travel diaries (tens or hundreds of files), which allow for manual processing. However, the enormous growth of OTRs requires operationalization through computerized methods, and the aim of this article is to propose a detailed method for semi-automatic downloading, arrangement, cleaning, debugging, and analysis of large-scale travel blogs and OTR data. This enables the classification of collected webpages by dates and destinations and offline content analysis of the text as written by the tourist. More than 130,000 useful trip diaries of tourists who visited Catalonia between 2004 and 2014 have been gathered, and significant results have been obtained in terms of content analysis in relation to destination image.

Suggested Citation

  • Estela Marine-Roig & Salvador Anton Clavé, 2016. "A detailed method for destination image analysis using user-generated content," Information Technology & Tourism, Springer, vol. 15(4), pages 341-364, January.
    • Handle: RePEc:spr:infott:v:15:y:2016:i:4:d:10.1007_s40558-015-0040-1
    DOI: 10.1007/s40558-015-0040-1
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    References listed on IDEAS

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    1. Ainhoa Serna & Elena Marchiori & Jon Kepa Gerrikagoitia & Aurkene Alzua-Sorzabal & Lorenzo Cantoni, 2015. "An Auto-Coding Process for Testing the Cognitive-Affective and Conative Model of Destination Image," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 111-123, Springer.
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    Citations

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    Cited by:

    1. Berta Ferrer-Rosell & Germa Coenders & Estela Marine-Roig, 2017. "Is planning through the Internet (un)related to trip satisfaction?," Information Technology & Tourism, Springer, vol. 17(2), pages 229-244, June.
    2. Xinxin Guo & Juho Pesonen & Raija Komppula, 2021. "Comparing online travel review platforms as destination image information agents," Information Technology & Tourism, Springer, vol. 23(2), pages 159-187, June.
    3. Estela Marine-Roig, 2019. "Destination Image Analytics Through Traveller-Generated Content," Sustainability, MDPI, vol. 11(12), pages 1-23, June.
    4. Sanda Nicola & Serge Schmitz, 2024. "From Mining to Tourism: Assessing the Destination’s Image, as Revealed by Travel-Oriented Social Networks," Tourism and Hospitality, MDPI, vol. 5(2), pages 1-21, May.
    5. Berta Ferrer-Rosell & Germa Coenders & Estela Marine-Roig, 0. "Is planning through the Internet (un)related to trip satisfaction?," Information Technology & Tourism, Springer, vol. 0, pages 1-16.
    6. Berta Ferrer-Rosell & Eva Martin-Fuentes & Estela Marine-Roig, 2020. "Diverse and emotional: Facebook content strategies by Spanish hotels," Information Technology & Tourism, Springer, vol. 22(1), pages 53-74, March.
    7. Egbert Van der Zee & Dario Bertocchi, 2018. "Finding patterns in urban tourist behaviour: a social network analysis approach based on TripAdvisor reviews," Information Technology & Tourism, Springer, vol. 20(1), pages 153-180, December.
    8. Estela Marine-Roig, 2021. "Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts," Tourism and Hospitality, MDPI, vol. 2(1), pages 1-17, January.
    9. Khalid Hamad Abaalzamat & Khalid Ibrahim Al-Sulaiti & Nidal Mohammed Alzboun & Hamzah Ali Khawaldah, 2021. "The Role of Katara Cultural Village in Enhancing and Marketing the Image of Qatar: Evidence From TripAdvisor," SAGE Open, , vol. 11(2), pages 21582440211, June.

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