Narrativas digitales de la COVID-19 en Twitter: de los datos a la interpretación

The bilingual project Digital Narratives of COVID-19 brings together researchers, programmers, and stu- dents from the University of Miami and CONICET (Argentina). DHCovid aims to analyze and interpret Twitter data (in English and Spanish) on the SARS-CoV -2 global pandemic from the end of April 202...

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Detalles Bibliográficos
Autores principales: Alles Torrent, Susanna, del Rio Riande, Gimena, De León, Romina, Fila, Marisol, Hernández, Nidia, Bonnell, Jerry, Song, Dieyun
Formato: Articulo
Lenguaje:Español
Publicado: 2020
Materias:
Ciencias Sociales
Informática
Twitter
Data
Narratives
Data Mining
Analysis
Datos
Narrativas
Minería de datos
Análisis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/139691
https://revistas.unlp.edu.ar/publicaahd/article/view/13771
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-139691
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Sociales
Informática
Twitter
Data
Narratives
Data Mining
Analysis
Datos
Narrativas
Minería de datos
Análisis
spellingShingle Ciencias Sociales
Informática
Twitter
Data
Narratives
Data Mining
Analysis
Datos
Narrativas
Minería de datos
Análisis
Alles Torrent, Susanna
del Rio Riande, Gimena
De León, Romina
Fila, Marisol
Hernández, Nidia
Bonnell, Jerry
Song, Dieyun
Narrativas digitales de la COVID-19 en Twitter: de los datos a la interpretación
topic_facet Ciencias Sociales
Informática
Twitter
Data
Narratives
Data Mining
Analysis
Datos
Narrativas
Minería de datos
Análisis
description The bilingual project Digital Narratives of COVID-19 brings together researchers, programmers, and stu- dents from the University of Miami and CONICET (Argentina). DHCovid aims to analyze and interpret Twitter data (in English and Spanish) on the SARS-CoV -2 global pandemic from the end of April 2020 to May 2021, through quantitative methods and tools used in the field of DH. This article explores the differ- ent methods and tools that the project has used, from basic search platforms and semi-automated text- mining to more complex and more or less supervised ones. The paper additionally discusses how this set of tweets was collected to study the narratives and emerging issues about the pandemic in South Florida and specific Spanish-speaking countries (Argentina, Mexico, Peru, Colombia, Ecuador, Spain). Furthermore, it presents the GitHub and Zenodo data repository as well as some of the tools developed by the project. Finally, work with data mining, frequency analysis of terms and concordances, and topic modeling will be exhibited.
format Articulo
Articulo
author Alles Torrent, Susanna
del Rio Riande, Gimena
De León, Romina
Fila, Marisol
Hernández, Nidia
Bonnell, Jerry
Song, Dieyun
author_facet Alles Torrent, Susanna
del Rio Riande, Gimena
De León, Romina
Fila, Marisol
Hernández, Nidia
Bonnell, Jerry
Song, Dieyun
author_sort Alles Torrent, Susanna
title Narrativas digitales de la COVID-19 en Twitter: de los datos a la interpretación
title_short Narrativas digitales de la COVID-19 en Twitter: de los datos a la interpretación
title_full Narrativas digitales de la COVID-19 en Twitter: de los datos a la interpretación
title_fullStr Narrativas digitales de la COVID-19 en Twitter: de los datos a la interpretación
title_full_unstemmed Narrativas digitales de la COVID-19 en Twitter: de los datos a la interpretación
title_sort narrativas digitales de la covid-19 en twitter: de los datos a la interpretación
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/139691
https://revistas.unlp.edu.ar/publicaahd/article/view/13771
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