Exploring the potential of Flickr User–Generated Content for Tourism Research: Insights from Portugal

Abstract The purpose of this research is to present and discuss the methods of identifying visitors and local population in tourism studies using geotagged photos from the Flickr social network, and differentiating them according to their country of residence. This study focuses on 1,434,268 photos taken in Portugal between 2010 and 2022 and uploaded by 31,286 Flickr users. Different approaches to cleaning the database, to distinguishing tourists from locals, and to identify their country of residence were employed and discussed. After data cleaning, the photos database corresponds to 1,144,981 photos shared by 29,890 users. Using the information provided in each user’s profile and the time zone, 12,144 users (41%) were classified as visitors and 2,659 users (9%) as locals. The monthly distribution of the percentage of photos uploaded by users classified as visitors coincides with the high season of tourist activity in Portugal. The distribution of users by country of residence coincides with the main inbound markets in Portugal: Spain, United Kingdom, France and Germany. Building on a country-wide case study, the contribution of this paper is a refined understanding of the use of Flickr usergenerated content in tourism studies, proposing a frame-work to facilitate all researchers to use this data source more frequently.

Authors

Institutions

Publication Details

Journal
European journal of tourism, hospitality and recreation
Published
2024-12-01
DOI
https://doi.org/10.2478/ejthr-2024-0019
Citations
1
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
1.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the potential of Flickr User–Generated Content for Tourism Research: Insights from Portugal

Márcio Ribeiro Martins, Arlindo Santos
1 citations
European journal of tourism, hospitality and recreation
Diverse Aspects of Tourism Research
1.13
article

Exploring the potential of Flickr User–Generated Content for Tourism Research: Insights from Portugal

Márcio Ribeiro Martins, Arlindo Santos
article en
1 citations

Abstract

Abstract The purpose of this research is to present and discuss the methods of identifying visitors and local population in tourism studies using geotagged photos from the Flickr social network, and differentiating them according to their country of residence. This study focuses on 1,434,268 photos taken in Portugal between 2010 and 2022 and uploaded by 31,286 Flickr users. Different approaches to cleaning the database, to distinguishing tourists from locals, and to identify their country of residence were employed and discussed. After data cleaning, the photos database corresponds to 1,144,981 photos shared by 29,890 users. Using the information provided in each user’s profile and the time zone, 12,144 users (41%) were classified as visitors and 2,659 users (9%) as locals. The monthly distribution of the percentage of photos uploaded by users classified as visitors coincides with the high season of tourist activity in Portugal. The distribution of users by country of residence coincides with the main inbound markets in Portugal: Spain, United Kingdom, France and Germany. Building on a country-wide case study, the contribution of this paper is a refined understanding of the use of Flickr usergenerated content in tourism studies, proposing a frame-work to facilitate all researchers to use this data source more frequently.

European journal of tourism, hospitality and recreationVol. 14(2)
Universidade Politécnica de Bragança (PT)
Fundação para a Ciência e a Tecnologia
Decent work and economic growth
Openalex Percentile: Top 14%
Diverse Aspects of Tourism Research
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.