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dc.date.available
2022-06-14T20:34:46Z
dc.identifier.citation
Tommasel, Antonela; (2022): GobBsAsTweets: Twitter Dataset of Local Governments in Buenos Aires (Argentina). Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/159746
dc.identifier.uri
http://hdl.handle.net/11336/159746
dc.description.abstract
This dataset presents a collection of the official local governments' Twitter activity in Buenos Aires Province in Argentina. The collection is entirely in Spanish and was built by crawling each local government's social media accounts and the reactions it received. The collection focuses on the content-based relations established between the local government authorities and the citizens, instead of on the follower/followee relationship.
The dataset is useful for studying how government entities manifest themselves in social media and their different ways of transmitting information; and how citizens interact and express their commitment to the government entities.
The collection includes the account activities during the COVID-19 pandemic.
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.title
GobBsAsTweets: Twitter Dataset of Local Governments in Buenos Aires (Argentina)
dc.type
dataset
dc.date.updated
2022-06-06T17:58:59Z
dc.description.fil
Fil: Tommasel, Antonela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina
dc.datacite.PublicationYear
2022
dc.datacite.Creator
Tommasel, Antonela
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software
dc.datacite.publisher
Consejo Nacional de Investigaciones Científicas y Técnicas
dc.datacite.subject
Otras Ciencias de la Computación e Información
dc.datacite.subject
Ciencias de la Computación e Información
dc.datacite.subject
CIENCIAS NATURALES Y EXACTAS
dc.datacite.date
2019/2019
dc.datacite.DateType
Creado
dc.datacite.language
spa
dc.datacite.AlternateIdentifierType
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.17632/3fszgrvm2r.1
dc.datacite.version
1.0
dc.datacite.description
The raw data belonging to the Twitter posts were retrieved from the Twitter API using our own tool called Faking it!, which internally uses Twitter4J for easily integrating with the Twitter API. Faking it! can also be used to rehydrate the data collection. The code for processing and analyzing the raw data and the shared tables is also available at the Faking it! repository at https://github.com/knife982000/FakingIt.
dc.datacite.DescriptionType
Información Técnica
dc.relationtype.isSourceOf
https://www.cais.org.ar/index.php/EJS/article/view/178
dc.relationtype.isSourceOf
http://48jaiio.sadio.org.ar
dc.subject.keyword
SOCIAL SCIENCES
dc.subject.keyword
SOCIAL MEDIA
dc.subject.keyword
GOVERNMENT
dc.subject.keyword
SPANISH LANGUAGE
dc.subject.keyword
CITIZENSHIP
dc.subject.keyword
TWITTER
dc.datacite.resourceTypeGeneral
dataset
dc.conicet.datoinvestigacionid
741
dc.datacite.geolocation
Buenos Aires
dc.datacite.formatedDate
2019
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