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News or social media? Socioeconomic divide of mobile service consumption

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorÚcar Marques, Iñaki
dc.contributor.authorGramaglia, Marco
dc.contributor.authorFiore, Marco
dc.contributor.authorSmoreda, Zbigniew
dc.contributor.authorMoro, Esteban
dc.contributor.funderMinisterio de Economía, Industria y Competitividad (España)es
dc.contributor.funderComunidad de Madrides
dc.date.accessioned2022-02-17T12:51:10Z
dc.date.available2022-02-17T12:51:10Z
dc.date.issued2021-12-01
dc.description.abstractReliable 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.en
dc.description.sponsorshipThis 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.en
dc.format.extent11es
dc.identifier.bibliographicCitationJournal of The Royal Society Interface, 18(185), Dec. 2021, 11p.en
dc.identifier.doihttps://doi.org/10.1098/rsif.2021.0350
dc.identifier.issn1742-5689
dc.identifier.issn1742-5662 (online)
dc.identifier.publicationfirstpage1es
dc.identifier.publicationissue185es
dc.identifier.publicationlastpage11es
dc.identifier.publicationtitleJournal of the Royal Society Interfaceen
dc.identifier.publicationvolume18es
dc.identifier.urihttps://hdl.handle.net/10016/34158
dc.identifier.uxxiAR/0000028620
dc.language.isoengen
dc.publisherThe Royal Societyen
dc.relation.projectIDGobierno de España. FIS2016-78904-C3-3-Pes
dc.relation.projectIDGobierno de España. PID2019-106811GB-C32es
dc.relation.projectIDComunidad de Madrid. 2019-T1/TIC-16037/NetSensees
dc.rights© 2021 The Authors.en
dc.rightsPublished 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.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherDigital usage gapen
dc.subject.otherInequalityen
dc.subject.otherMobile phone dataen
dc.subject.otherDevelopmenten
dc.subject.otherPrivacy-preservingen
dc.titleNews or social media? Socioeconomic divide of mobile service consumptionen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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