Do Travel Destinations Meet My Expectations? A Comparison of Tourists’ Perceptions and Destinations’ Self-presentation Through Instagram Posts by a Convolutional Neural Network

Zehui Wang (), Sebastian Schwarzenbacher, Wolfram Höpken and Matthias Fuchs
Additional contact information
Zehui Wang: University of Applied Sciences Ravensburg-Weingarten
Sebastian Schwarzenbacher: University of Applied Sciences Ravensburg-Weingarten
Wolfram Höpken: University of Applied Sciences Ravensburg-Weingarten
Matthias Fuchs: Libera Università di Bolzano

A chapter in Information and Communication Technologies in Tourism 2025, 2025, pp 289-299 from Springer

Abstract: Abstract With the rapid development of the internet, social media platforms enable tourists to extensively research, compare, and evaluate potential destinations. Concurrently, these platforms have provided new channels for destinations to present themselves and engage with potential visitors. Therefore, the closer destinations’ self-presentation is to the actual experience of the tourists, the higher the likelihood that tourists’ expectations are met. This study analyzes image posts from tourists as well as DMOs of popular cities around Lake Constance on Instagram. An image content recognition technique and a clustering algorithm is applied to obtain insights into the preferences of tourist segments within individual destinations. These insights are then compared to how the destinations present themselves on Instagram. The results demonstrate that the data reveals distinct segments within the tourist groups of the studied destinations. Furthermore, the comparison between the external perception and self-presentation shows a high perception congruence of similarity for two destinations but also significant discrepancies for one destination examined.

Keywords: Self-presentation; External perception; Tourism marketing; Instagram; Lake constance (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-83705-0_24

Ordering information: This item can be ordered from
http://www.springer.com/9783031837050

DOI: 10.1007/978-3-031-83705-0_24

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().