2018
DOI: 10.1016/j.annals.2018.09.001
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Characterizing the location of tourist images in cities. Differences in user-generated images (Instagram), official tourist brochures and travel guides

Abstract: Characterizing the location of tourist images in cities. Differences in user-generated images (Instagram), official tourist brochures and travel guides. Paül i Agustí, Daniel Highlights-We compare spatial distribution of user-generated images and projected images.-A partial overlap between the locations captured in these sources was identified.-User-generated images are clearly wider than that from official sources.-To obtain a consistent representation of the city we need to analyse various sources.

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Cited by 93 publications
(43 citation statements)
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References 48 publications
(52 reference statements)
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“…The increase in Instagram users and its popularisation as a social media source has attracted a great deal of attention in tourism, and this study provides a new approach to circles of representation. Recent research works [3,10,20,39] have demonstrated the relationship between the perceived tourist image of a destination (or tourism company) and the photos taken by travellers.…”
Section: Destination Image and Instagrammentioning
confidence: 99%
“…The increase in Instagram users and its popularisation as a social media source has attracted a great deal of attention in tourism, and this study provides a new approach to circles of representation. Recent research works [3,10,20,39] have demonstrated the relationship between the perceived tourist image of a destination (or tourism company) and the photos taken by travellers.…”
Section: Destination Image and Instagrammentioning
confidence: 99%
“…In travel, hospitality and tourism, experiences shared through social media have been increasing [20] as well as consultation (before and during the trip) and consideration of content generated by other travellers. Within traveller-generated content (TGC), some authors have used travel-related forums [21,22], tweets [23], Facebook posts [24], multiple social media [25] and online photographs [26][27][28] to deduce TDI aspects, but most have focused on travel blogs [29] and online travel reviews (OTR) [30]. It is worth highlighting the transition from travel blogs to OTRs.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, source characteristics (i.e., credibility, expertise, trustworthiness and homophily) and content characteristics (i.e., novelty, valence, aesthetics, argument quality and information quality) act together on user characteristics (i.e., consumer profile, involvement, enjoyment, experience and benefit). Taking the social media element picture as an example, Paul [4] emphasizes that user generated picture belongs to the primary image formed by subjective personal experience, which is considered to be impartial and highly credible. On the contrary, the secondary image, created under objective and deliberate design, aims to meet concerned commercial metrics.…”
Section: Literature Review 21 User Generated Content Marketingmentioning
confidence: 99%
“…In terms of content producers, posts on social media can be classified as Firm Generated Content (FGC) and User Generated Content (UGC) that respectively reflects the social advertising (about a brand) and wisdom of crowds [3]. Although FGC is designed and examined by professional marketing team, studies find that brand-related UGC could achieve even better performance on plenty of marketing metrics due to the creativity and credibility [4,5].…”
Section: Introductionmentioning
confidence: 99%