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Pictorial Analysis of the Projected Destination Image: Portugal on Instagram

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Destination image (DI) has an important role in destination choice. DI is considered as one of the main factors in destination competitiveness. The main aim of this study was to explore the projected image of Portugal as a tourism destination. The projected image was obtained through an analysis of the pictures of the official page of destination management organization of Portugal on Instagram (@visitportugal). The research used a sample of 1,306 photos. Samples included photographic and textual data. Visual content analysis and content analysis were adopted to analysis data. Appling content analysis for images refers to break a picture into a number of categories. The results showed that the projected destination images of Portugal were dominated by attributes related to natural attractions. In addition, the geographical distribution of the DMO photos showed that 880 photos (67%) of all 1,306 DMO photos were associated with nine destinations. Food/drink category was the most engaging image for followers. Additionally, the findings indicated that the most common applied hashtags for describing Portugal as a tourism destination and inspire travelers to visit were related to nature-based activities (e.g., nature, river, beach, ocean, sea).

Keywords: DESTINATION IMAGE (DI); INSTAGRAM; PICTORIAL ANALYSIS; PORTUGAL; PROJECTED IMAGE

Document Type: Research Article

Publication date: 12 February 2019

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  • Established in 1996, Tourism Analysis is an interdisciplinary journal that provides a platform for exchanging ideas and research in tourism and related fields. The journal aims to publish articles that explore a broad range of research subjects, including, but not limited to, the social, economic, cultural, environmental, and psychological aspects of tourism, consumer behavior in tourism, sustainable and responsible tourism, and effective operations, marketing, and management.

    Tourism Analysis focuses on both theoretical and applied research and strives to promote innovative approaches to understanding the complex and dynamic nature of tourism, its stakeholders, businesses, and its effects on society. The journal welcomes articles on innovative research topics and methodologies beyond the traditional theory-testing sciences, such as robotics, computational sciences, and data analytics.

    Our primary goal is to contribute to the development and advancement of new knowledge in tourism while fostering critical reflections and debates on the radical changes and evolution in tourism among scholars, practitioners, policymakers, and other stakeholders.
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