Instagram public and private images as an element for the spatial monitoring of tourist behaviour in cities

Author:

Paül i Agustí Daniel

Abstract

Purpose The purpose of this paper is to analyse whether publicly shared images on Instagram are representative of tourist behaviour in a destination. This aspect is crucial for destination image management, as it can influence the way tourists perceive the destination. Design/methodology/approach The research compares three different factors: the route followed by a group of tourists, the whole set of photographs taken by them and the images that they made publicly available on Instagram. It relies on a field work done by a group of 122 tourists in Turin (Italy). At a qualitative level, the answers given by tourists to the motivations that led them to share some of the image are analysed. Findings The results showed how the spatial distribution of the images shared publicly on Instagram only partially coincides with the whole set of images taken by tourists. Practical implications It is important to avoid basing marketing and management policies on just the places featured in publicly shared images. If not, there is a risk of taking decisions based on the behaviour of some, rather than all, tourists. Originality/value Many papers claim to be based on the Instagram image as elements to study tourism. However, most of these papers only analyse public images. This fact can affect the results as there may be, for example, areas visited by tourists where photos are not taken. This paper therefore contributes to a better understanding of Instagram as a tool for the study of urban tourism.

Publisher

Emerald

Reference40 articles.

1. How does restaurant’s symbolic design affect photo-posting on Instagram? The moderating role of community commitment and coolness;Journal of Hospitality Marketing & Management,2021

2. The ‘anti-Instagram’: using visual methods to study the college experiences of underrepresented students;Visual Studies,2022

3. The psychological predictors of older preretirees’ financial self-efficacy;Journal of Behavioral Finance,2019

4. Thinking about measuring Auge’s non-places with big data;Big Data & Society,2016

5. Extended self and the digital world;Current Opinion in Psychology,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3