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Datos de investigación

GobBsAsTweets: Twitter Dataset of Local Governments in Buenos Aires (Argentina)

Autores: Tommasel, AntonelaIcon
Publicador: Consejo Nacional de Investigaciones Científicas y Técnicas
Fecha de depósito: 14/06/2022
Fecha de creación: 2019/2019
Clasificación temática:
Otras Ciencias de la Computación e Información

Resumen

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.

Información Técnica

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.
Palabras clave: SOCIAL SCIENCES, SOCIAL MEDIA, GOVERNMENT, SPANISH LANGUAGE, CITIZENSHIP, TWITTER
Alcance geográfico
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Alcance geográfico

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Identificador del recurso
URI: http://hdl.handle.net/11336/159746
Colecciones
Datos de Investigación(ISISTAN)
Datos de Investigación de INSTITUTO SUPERIOR DE INGENIERIA DEL SOFTWARE
Citación
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
Condiciones de uso
Las buenas prácticas científicas esperan que se otorgue el crédito adecuado mediante una citación. Utilice un formato de citación y aplique estas normas de reutilización.
info:eu-repo/semantics/openAccess
Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
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Archivos del conjunto de datos
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CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840_A.csv
Relation between the tweets and the list of replies they received.  Más
5.585Mb
  Descarga
CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840_D.csv
Mapping between the screenname of the local government account and their userId, to facilitate the identification of the tweets belonging to such accounts.  Más
3.313Kb
  Descarga
CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840_G.csv
Tweets were classified according to their characteristics in three categories: Original tweet, Retweet (RT) or Reply. In the case of Original and Reply tweets it is also indicated whether it included a quoted tweet.  Más
33.12Mb
  Descarga
CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840_J.csv
Relation between the tweets and the list of hashtags used in them. RTs and tweets without hashtags are not included in the analysis.  Más
5.047Mb
  Descarga
CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840_M.csv
Directed edges for each of the users sharing tweets in the dataset. Edges are based on the relations established by the shared content, namely: retweeted (1), replied (2), quoted (3) or mentioned (4) at least a tweet of the related user.  Más
77.61Mb
  Descarga
CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840_P.csv
Analysis of several of the principal features of Twitter posts for either sharing additional content, or involving other users. RTs are not included in the analysis.  Más
10.84Mb
  Descarga
CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840_S.csv
Relation between the tweets and the list of users who have retweeted it. RTs and tweets without urls are not included in the analysis.  Más
12.32Mb
  Descarga
CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840_V.csv
Relation between the tweets and the list of users mentioned in them. RTs and tweets without mentions are not included in the analysis.  Más
6.907Mb
  Descarga
CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840_Y.csv
Relation between the tweets and the list of urls included in them. RTs and tweets without urls are not included in the analysis.  Más
5.480Mb
  Descarga
CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840_\.csv
Relation between the user who shared the tweet, and date and time each tweet was created. In case it was available, the place in which the tweet was posted is included.  Más
57.79Mb
  Descarga
CONICET_Digital_Nro.2cf38038-6ab5-40fe-a933-7645b33a4840__.csv
Profile information for each of the users sharing any of the collected tweets.  Más
6.492Mb
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