Heritage site-seeing through the visitor’s lens on Instagram
Bibliographic Data
| ID | 21245489 |
|---|---|
| Authors | Tania Loke (University of Oxford), Yayoi Teramoto (0000-0003-3419-0351, Oxford Brookes University), Chico Q Camargo (0000-0002-2947-765X, University of Exeter), Kathryn Eccles (0000-0002-9399-0837, University of Oxford) |
| Year | 2022 |
| Volume | 7 |
| Issue | 3 |
| Publication date | 2022-10-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Cultural Analytics (JOURNAL) |
| Journal identifiers | ISSN: 2371-4549 • E-ISSN: 2371-4549 |
| Publisher | CA: Journal of Cultural Analytics (PUBLISHER) |
| DOI | 10.22148/001c.38966 |
| OpenAlex | W4365998489 |
| Language | EN |
| Citations received | 1 |
| References cited | 45 |
English Heritage is a charity that manages over 400 historic sites in the UK, from prehistoric sites to medieval castles, most of them free, non-ticketed, and unstaffed. As such, there is little information about visitor attendance and behaviour in those sites—a challenge common to other non-ticketed heritage sites. In this context, image-based social media such as Instagram appear as a possible solution, as photographs are often central to the tourist experience, and tourists present their imagined audiences with a self-narrative of their trip. Therefore, this study aims to improve our understanding of tourist behaviour in unstaffed heritage sites by analysing publicly available Instagram data. We collect posts on unstaffed English Heritage sites, finding that posting activity concentrates at a few sites. Focusing on 3,979 images each for the top five sites, we analyse image content using pre-trained object detection models. Besides off-the-shelf inference, we fine-tune a model to identify structures from particular heritage sites, and are able to describe the types of photographs taken by visitors in each site, supporting the notion of tourists as performers with the site serving as backdrop. Overall, this study demonstrates a methodology for understanding cultural behaviour at heritage sites using images from social media posts. In addition to recovering the otherwise lost connection between a heritage organisation and its visitors, our methodology can be readily extended to other tourist destinations to understand how visitors interact with and relate to these sites and the objects within them through their photographs
Archaeology · Art · Cultural heritage · Cultural heritage management · Destinations · Geography · Heritage tourism · Historic site · Narrative · Social media · Tourism · Visitor pattern · Visual arts · World Wide Web · Computer Science · Cultural Heritage Management and Preservation · Diverse Aspects of Tourism Research · Museums and Cultural Heritage
Content Analysis of Visual Images
Social Media in Tourism and Hospitality
A Survey on Transfer Learning
Understanding the Relationship between Tourism Destination Imagery and Tourist Photography
Instagram, Flickr, or Twitter
The Tourist Gaze 3.0
Big data in tourism research
Making sense of tourists' photographs using canonical variate analysis
Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos
Tourism and online photography
Selfie-taking as touristic looking
Human ethology and tourists’ photographic poses
Tourists with cameras
Families Seen Sightseeing
The Presentation of Self in the Age of Social Media
Picturing practices
Becoming Tourist
Possessions and the Extended Self
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |