Abstract
Image is one of the most relevant forces attracting visitors to a destination, and the mushrooming of blog communities contributes to shaping (or modifying) visitors’ perceptions of a place. Large scale content analysis over time is believed to better capture the relevant factors shaping a destination’s image. This study, based on the analysis of 667,983 articles from 11 international online travel communities and social travel guides, identifies image factors using a Latent Semantic Analysis (LSA) approach. LSA reveals attributes associated to the destinations across documents, which have been analyzed over time. The large number of documents allows observations on sub-periods (quarters) as well as the assessment of seasonal changes of the online image representation. The aims of this study are two-fold. The first goal is to outline the weight of cultural components on the overall online image of a city destination. The second goal is to monitor and identify changes of image components over
time.
time.
| Original language | English |
|---|---|
| Pages | 106-123 |
| Number of pages | 18 |
| Publication status | Published - 2009 |
| Event | European Cities Marketing Annual Conference & General Assembly, Events and Meetings in the City - Sweden, Gothenburg, Sweden Duration: 15 Jun 2009 → 20 Jun 2009 |
Conference
| Conference | European Cities Marketing Annual Conference & General Assembly, Events and Meetings in the City |
|---|---|
| Country/Territory | Sweden |
| City | Gothenburg |
| Period | 15/06/2009 → 20/06/2009 |
Keywords
- Online Destination Image
- Latent Semantic Analysis
- City Tourism
- Cultural Heritage
- Creative Industry
