Proposal for Employing User-Generated Content as a Data Source for Measuring Tourism Destination Image
Bibliographic Data
| ID | 21652663 |
|---|---|
| Authors | Pilar Alarcón-Urbistondo (0000-0002-2423-0113, Universidad de Málaga), María-Mercedes Rojas-de-Gracia (0000-0002-5006-039X, Universidad de Málaga), Ana-María Casado-Molina (0000-0002-1780-9557, Universidad de Málaga), Ana Casado-Molina (Universidad de Málaga) |
| Year | 2023 |
| Volume | 47 |
| Issue | 4 |
| Pages | 643-664 |
| Publication date | 2023-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Hospitality & Tourism Research (JOURNAL) |
| Journal identifiers | ISSN: 1096-3480 • E-ISSN: 1557-7554 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/10963480211012756 |
| OpenAlex | W3161091614 |
| Language | EN |
| Citations received | 6 |
| References cited | 54 |
The user-generated content (UGC) published on the internet offers great advantages as a source of data. This study proposes a way to make better use of its potential to measure tourism destination image, based on the recommendations of Echtner and Ritchie. These authors indicate that in order to obtain a comprehensive picture of tourism destinations, it is necessary to carry out a holistic and attribute-based analysis using unstructured and structured data, respectively. Since UGC provides both types of data, here we propose its use to study and compare the images of five tourist cities. Our results demonstrate that UGC is a valid source for the study of tourism destination image, confirming the need to adopt a holistic and attribute-based approach to this concept. They also show that not all attributes influence the overall impression of a destination
Advertising · Business · Content analysis · Data mining · Data science · Destination Image · Destinations · Geography · Impression · Information retrieval · Social media · The Internet · Tourism · User-generated content · World Wide Web · Computer Science · Culinary Culture and Tourism · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Artificial Intelligence
From Urban Meanings to Personality
Hikers’ experience satisfaction and visual perception based on online text-image data
A machine-learning approach to examining users’ responses to travel content on YouTube
Uncovering customers’ perceptions of data breach
Bridging Perceived and Projected Destination Images
From “Sacred Spaces” to “Selfie Spots”
An investigation of the relationships among destination familiarity, destination image and future visit intention
The Measurement of Destination Image
Travel Blogs and the Implications for Destination Marketing
Conceptualization and Operationalization of Destination Image
Understanding and measuring tourist destination images
Affective Images of Tourism Destinations
Improving text summarization of online hotel reviews with review helpfulness and sentiment
The destination product and its impact on traveller perceptions
Revisiting the host city
Modelling perceived quality, visitor satisfaction and behavioural intentions at the destination level
Listen to the voices from home
Destination image representation on the web
Exploring tourists’ images of a distant destination
Why do people share their travel experiences on social media
The attractiveness and competitiveness of tourist destinations
Opinions that matter
Relationship between reputational aspects of companies and their share price in the online environment
The tourism product
Destination image
Pictorial element of destination in image formation
The long tail of destination image and online marketing
A model of destination image formation
Destination image
Core-periphery structure of destination image
Interpreting Qualitative Data
| Citations per year | 6 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |