| dc.contributor.author | Martínez-Durive, Orlando E. | |
| dc.contributor.author | Ucar, Iñaki | |
| dc.contributor.author | Smoreda, Zbigniew | |
| dc.contributor.author | Moro, Esteban | |
| dc.contributor.author | Fiore, Marco | |
| dc.date.accessioned | 2026-09-11T15:40:57Z | |
| dc.date.available | 2026-09-11T15:40:57Z | |
| dc.date.issued | 2026-10-12 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12761/2070 | |
| dc.description.abstract | Understanding how digital platform consumption relates to political alignment is paramount in contemporary democracies, yet large-scale observational evidence spanning multiple platforms and elections remains scarce. We analyze passive mobile network metadata from a major French mobile network operator (MNO) covering approximately 31% of the mobile market across urban and suburban areas of metropolitan France during the 2019 and 2024 European Parliament elections. Integrating demands for tens of mobile services, including social media, news, messaging, and streaming, with socioeconomic indicators, we model vote shares via Dirichlet regression. We find that digital consumption provides independent and complementary signals of political alignment that, for several parties, match or exceed the predictive power of traditional socioeconomic indicators; combining both increases explanatory ability by up to 28.23%. For instance, right-wing support is associated with higher consumption of Facebook and TikTok, whereas engagement with online news outlets, Twitter, and Instagram correlates with centrist and progressive vote. These associations are consistent across 2019 and 2024, providing a population-scale view of the relationship between mobile platform use and political alignment. | es |
| dc.description.sponsorship | French National Research Agency (ANR) | es |
| dc.language.iso | eng | es |
| dc.title | Digital Consumption and Political Alignment: Evidence from Mobile Data Across Two European Elections in France | es |
| dc.type | conference object | es |
| dc.conference.date | 12-16 October 2026 | es |
| dc.conference.place | Karlsruhe, Germany | es |
| dc.conference.title | Internet Measurement Conference | * |
| dc.event.type | conference | es |
| dc.pres.type | paper | es |
| dc.type.hasVersion | VoR | es |
| dc.rights.accessRights | open access | es |
| dc.acronym | IMC | * |
| dc.rank | A | * |
| dc.relation.projectID | ANR-22-CE25-0016 | es |
| dc.relation.projectName | CoCo5G (Traffic Collection, Contextual Analysis, Data-driven Optimization for 5G) | es |
| dc.subject.keyword | network measurement | es |
| dc.subject.keyword | mobile networks | es |
| dc.subject.keyword | digital consumption | es |
| dc.subject.keyword | political alignment | es |
| dc.subject.keyword | elections | es |
| dc.subject.keyword | Dirichlet regression | es |
| dc.description.refereed | TRUE | es |
| dc.description.status | inpress | es |