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dc.contributor.authorMartínez-Durive, Orlando E. 
dc.contributor.authorUcar, Iñaki
dc.contributor.authorSmoreda, Zbigniew
dc.contributor.authorMoro, Esteban
dc.contributor.authorFiore, Marco 
dc.date.accessioned2024-04-12T10:59:53Z
dc.date.available2024-04-12T10:59:53Z
dc.date.issued2024-05-13
dc.identifier.urihttps://hdl.handle.net/20.500.12761/1811
dc.description.abstractElections are a cornerstone of democratic societies, and their outcome has important implications on the lives of citizens and on the interior and foreign politics of a country. Understanding biases in the political orientation of the electorate plays a key role in assessing the health of the voting process and the reasons underlying the preferences of voters. Traditionally, political orientation has been studied through the lenses of the socioeconomic status of voters, i.e., their education level, type of occupation, wealth, or age. In this work, we take an original perspective and factor in mobile app usage as a different yet primary indicator of the vote decision. To this end, we explore the relationship between the 2019 European parliamentary election results in approximately 4,000 urban communes in France and the associated consumption of a wide range of mobile services. Our results show how app usage provides complementary information to the socioeconomic status and can feed a Dirichlet regression that is up to 21% more accurate in predicting the multiparty election outcome.es
dc.description.sponsorshipComunidad de Madrides
dc.description.sponsorshipFrench National Research Agencyes
dc.language.isoenges
dc.titleMobile App Consumption and Political Orientationes
dc.typeconference objectes
dc.conference.date20–23 May 2024es
dc.conference.placeVancouver, Canadaes
dc.conference.titleIEEE International Conference on Computer Communications *
dc.event.typeconferencees
dc.pres.typeposteres
dc.type.hasVersionAMes
dc.rights.accessRightsopen accesses
dc.acronymINFOCOM*
dc.rankA**
dc.relation.projectNameNetSense (Network Sensing)es
dc.relation.projectNameNetSense+1es
dc.relation.projectNameCoCo5G (Traffic Collection, Contextual Analysis. Data-driven Optimization for 5G)es
dc.description.refereedTRUEes
dc.description.statusinpresses


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