News or social media? Socioeconomic divide of mobile service consumption

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dc.contributor.author Úcar Marques, Iñaki
dc.contributor.author Gramaglia, Marco
dc.contributor.author Fiore, Marco
dc.contributor.author Smoreda, Zbigniew
dc.contributor.author Moro, Esteban
dc.date.accessioned 2022-02-17T12:51:10Z
dc.date.available 2022-02-17T12:51:10Z
dc.date.issued 2021-12-01
dc.identifier.bibliographicCitation Journal of The Royal Society Interface, 18(185), Dec. 2021, 11p.
dc.identifier.issn 1742-5689
dc.identifier.issn 1742-5662 (online)
dc.identifier.uri http://hdl.handle.net/10016/34158
dc.description.abstract Reliable and timely information on socio-economic status and divides is critical to social and economic research and policing. Novel data sources from mobile communication platforms have enabled new cost-effective approaches and models to investigate social disparity, but their lack of interpretability, accuracy or scale has limited their relevance to date. We investigate the divide in digital mobile service usage with a large dataset of 3.7 billion time-stamped and geo-referenced mobile traffic records in a major European country, and find profound geographical unevenness in mobile service usage -especially on news, e-mail, social media consumption and audio/video streaming. We relate such diversity with income, educational attainment and inequality, and reveal how low-income or low-education areas are more likely to engage in video streaming or social media and less in news consumption, information searching, e-mail or audio streaming. The digital usage gap is so large that we can accurately infer the socio-economic status of a small area or even its Gini coefficient only from aggregated data traffic. Our results make the case for an inexpensive, privacy-preserving, real-time and scalable way to understand the digital usage divide and, in turn, poverty, unemployment or economic growth in our societies through mobile phone data.
dc.description.sponsorship This work has been supported by the research project CANCAN (Content and Context based Adaptation in Mobile Networks), grant no. ANR-18-CE25-0011, funded by the French National Research Agency (ANR). The work of M.F. was partially supported by the Atracción de Talento Investigador grant no. 2019-T1/TIC-16037 NetSense, funded by Comunidad de Madrid. E.M. and I.U. acknowledge partial support by Ministerio de Economía, Industria y Competitividad, Gobierno de España, grant nos. FIS2016-78904-C3-3-P and PID2019-106811GB-C32.
dc.format.extent 11
dc.language.iso eng
dc.publisher The Royal Society
dc.rights © 2021 The Authors.
dc.rights Published by the Royal Society under the terms of the Creative Commons Attribution License , which permits unrestricted use, provided the original author and source are credited.
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other Digital usage gap
dc.subject.other Inequality
dc.subject.other Mobile phone data
dc.subject.other Development
dc.subject.other Privacy-preserving
dc.title News or social media? Socioeconomic divide of mobile service consumption
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1098/rsif.2021.0350
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. FIS2016-78904-C3-3-P
dc.relation.projectID Gobierno de España. PID2019-106811GB-C32
dc.relation.projectID Comunidad de Madrid. 2019-T1/TIC-16037/NetSense
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 185
dc.identifier.publicationlastpage 11
dc.identifier.publicationtitle Journal of the Royal Society Interface
dc.identifier.publicationvolume 18
dc.identifier.uxxi AR/0000028620
dc.contributor.funder Ministerio de Economía, Industria y Competitividad (España)
dc.contributor.funder Comunidad de Madrid
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