Digital Narratives of Covid-19: a Twitter Dataset
; de Leon, Romina Soledad ; Hernandez, Nidia Alejandra ; Alles Torrent, Susanna Otros responsables
Fecha
Publicador:
Consejo Nacional de Investigaciones Científicas y Técnicas
Fecha de depósito:
10/03/2023
Fecha de creación:
02/04/2020-03/04/2021
Clasificación temática
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Resumen
We are releasing a Twitter dataset connected to our project Digital Narratives of Covid-19 (DHCOVID) that -among other goals- aims to explore during one year (May 2020-2021) the narratives behind data about the coronavirus pandemic.
In this first version, we deliver a Twitter dataset organized as follows:
Each folder corresponds to daily data (one folder for each day): YEAR-MONTH-DAY
In every folder there are 9 different plain text files named with "dhcovid", followed by date (YEAR-MONTH-DAY), language ("en" for English, and "es" for Spanish), and region abbreviation ("fl", "ar", "mx", "co", "pe", "ec", "es"):
Información Técnica
For English, we collect all tweets with the following keywords and hashtags: covid, coronavirus, pandemic, quarantine, stayathome, outbreak, lockdown, socialdistancing. For Spanish, we search for: covid, coronavirus, pandemia, quarentena, confinamiento, quedateencasa, desescalada, distanciamiento social.
The corpus of tweets consists of a list of Tweet Ids; to obtain the original tweets, you can use "Twitter hydratator" which takes the id and download for you all metadata in a csv file.
We started collecting this Twitter dataset on April 24th, 2020 and we are adding daily data to our GitHub repository. There is a detected problem with file 2020-04-24/dhcovid_2020-04-24_es.txt, which we couldn't gather the data due to technical reasons.
For more information about our project visit https://covid.dh.miami.edu/
For more updated datasets and detailed criteria, check our GitHub Repository: https://github.com/dh-miami/narratives_covid19/
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Licencia Creative Commons
Excepto donde se indique lo contrario, la licencia de este ítem se describe como by-nc-sa
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