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dc.contributor.author | Baviera Puig, Tomás | es_ES |
dc.contributor.author | Calvo, Dafne | es_ES |
dc.contributor.author | Llorca-Abad, Germán | es_ES |
dc.date.accessioned | 2019-02-22T13:17:26Z | |
dc.date.available | 2019-02-22T13:17:26Z | |
dc.date.issued | 2019-02-22T13:17:26Z | |
dc.identifier.uri | http://hdl.handle.net/10251/117194 | |
dc.description | This study has been promoted by the Mediaflows Group, whose main goal is to research the transformations in the political communication processes influenced by both the impact of digital technologies and the social and political changes experienced in Western societies. These grants from the Spanish Ministry grants are focused on researching the election campaigns in Spain. | es_ES |
dc.description | More information: http://mediaflows.es/en/ | es_ES |
dc.description.abstract | Twitter dataset for a research on the 2015 Spanish General Election. The tweets were obtained through the Twitter API's Search function since November 2 to December 21, 2015. Three criteria for filtering tweets were established: two general terms linked to the elections ("#20D", "20-D"); the name and usernames of the four main parties (PP, PSOE, Podemos and Ciudadanos), and the name and usernames of the four candidates from those parties. The research assessed the tweet's issue according to Patterson (1980)'s typology for evaluating political mediatisation. The dataset contains three files: the unlabelled collection of the 15.8 million tweet ids obtained through the API, the annotated sample of the 3,117 tweet ids for assessing the issue via machine learning, and the readme.txt file. It is recommended to open the file from a text editor or through a script. The id_str must be handled as a string. If the file is open from Excel, the id_str will be interpreted as a number, and then converted into a float, losing information in this transformation | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.rights | Reconocimiento - No comercial (by-nc) | es_ES |
dc.subject | es_ES | |
dc.subject | Spanish 2015 General Election | es_ES |
dc.subject.classification | TECNOLOGÍAS AVANZADAS DE COMUNICACIONES | es_ES |
dc.subject.classification | CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL | es_ES |
dc.title | Twitter Dataset - 2015 Spanish General Election | es_ES |
dc.type | Dataset | es_ES |
dc.identifier.doi | 10.4995/Dataset/10251/117194 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//CSO2013-43960-R/ES/LOS FLUJOS DE COMUNICACION EN LOS PROCESOS DE MOVILIZACION POLITICA: MEDIOS, BLOGS Y LIDERES DE OPINION/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//CSO2016-77331-C2-1-R/ES/ESTRATEGIAS, AGENDAS Y DISCURSOS EN LAS CIBERCAMPAÑAS ELECTORALES: MEDIOS DE COMUNICACION Y CIUDADANOS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials | es_ES |
dc.description.bibliographicCitation | Baviera Puig, T.; Calvo, D.; Llorca-Abad, G. (2019). Twitter Dataset - 2015 Spanish General Election. Universitat Politècnica de València. https://doi.org/10.4995/Dataset/10251/117194 | es_ES |
dc.type.version | info:eu-repo/semantics/submittedVersion | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |