Social Media data: Challenges, opportunities and limitations in urban studies
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Title: | Social Media data: Challenges, opportunities and limitations in urban studies |
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Authors: | Martí Ciriquián, Pablo | Serrano-Estrada, Leticia | Nolasco-Cirugeda, Almudena |
Research Group/s: | Urbanística y Ordenación del Territorio en el Espacio Litoral |
Center, Department or Service: | Universidad de Alicante. Departamento de Edificación y Urbanismo |
Keywords: | Urban planning | Data analysis | Location based social networks | Urban analysis |
Knowledge Area: | Urbanística y Ordenación del Territorio |
Issue Date: | Mar-2019 |
Publisher: | Elsevier |
Citation: | Computers, Environment and Urban Systems. 2019, 74: 161-174. doi:10.1016/j.compenvurbsys.2018.11.001 |
Abstract: | Analysing the city through data retrieved from Location Based Social Networks (LBSNs) has received considerable attention as a promising method for applied research. However, the use of these data is not without its challenges and has given rise to a stream of polemical arguments over the validity of this source of information. This paper addresses the challenges and opportunities as well as some of the limitations and biases associated with the collection and use of LBSN data from Foursquare, Twitter, Google Places, Instagram and Airbnb in the context of urban phenomena research. The most recent research that uses LBSN data to understand city dynamics is presented. A method is proposed for LBSN data retrieval, selection, classification and analysis. In addition, key thematic research lines are identified given the data variables offered by these LBSNs. A comprehensive and descriptive framework for the study of urban phenomena through LBSN data is the main contribution of this study. |
Sponsor: | This work was supported by the Council of Education, Research, Culture and Sports – Generalitat Valenciana (Spain). Project: Valencian Community cities analysed through Location-Based Social Networks and Web Services Data. Ref. no. AICO/2017/018. |
URI: | http://hdl.handle.net/10045/87292 |
ISSN: | 0198-9715 (Print) | 1873-7587 (Online) |
DOI: | 10.1016/j.compenvurbsys.2018.11.001 |
Language: | eng |
Type: | info:eu-repo/semantics/article |
Rights: | © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/). |
Peer Review: | si |
Publisher version: | https://doi.org/10.1016/j.compenvurbsys.2018.11.001 |
Appears in Collections: | INV - ECO-IA - Artículos de Revistas INV - UOTEL - Artículos de Revistas |
Files in This Item:
File | Description | Size | Format | |
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2019_Marti_etal_CompEnvUrbSyst.pdf | 1,23 MB | Adobe PDF | Open Preview | |
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