IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-94751-4_16.html
   My bibliography  Save this book chapter

Do DMOs Promote the Right Aspects of the Destination? A Study of Instagram Photography with a Visual Classifier

In: Information and Communication Technologies in Tourism 2022

Author

Listed:
  • Lyndon Nixon

    (MODUL University Vienna)

Abstract

As global travel emerges from the pandemic, pent up interest in travel will lead to consumers making their choice between global destinations. Instagram is a key source of destination inspiration. DMO marketing success on this channel relies on projecting a destination image that resonates with this target group. However, usual text-based marketing intelligence on this channel does not work as content is consumed first and foremost as a visual projection. The author has built a deep learning based visual classifier for destination image measurement from photos. In this paper, we compare projected and perceived destination images in Instagram photography for four of the most Instagrammed destinations worldwide. We find that whereas the projected destination image aligns well to the perceived image, there are specific aspects of the destinations that are of more interest to Instagrammers than reflected in the current destination marketing.

Suggested Citation

  • Lyndon Nixon, 2022. "Do DMOs Promote the Right Aspects of the Destination? A Study of Instagram Photography with a Visual Classifier," Springer Books, in: Jason L. Stienmetz & Berta Ferrer-Rosell & David Massimo (ed.), Information and Communication Technologies in Tourism 2022, pages 174-186, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-94751-4_16
    DOI: 10.1007/978-3-030-94751-4_16
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-94751-4_16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.