COVID-related tweets in the period between January and May 2020

Castioni, Piergiorgio

Belongs to PC:1236 collection

TITLE:

COVID-related tweets in the period between January and May 2020 - PC:4141

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https://hdl.handle.net/20.500.11797/PC4141

Author:	Castioni, Piergiorgio
Published by (editorial):	Universitat Rovira i Virgili (URV)
Funding program action:	Ministerio de Economía y Competitividad Ministerio de Ciencia, Innovación y Universidades, Agència de Gestió d’Ajuts Universitaris i de Recerca; Universitat Rovira i Virgili
Document type:	info:eu-repo/semantics/other
Abstract:	The datasets that we used in this work come from the COVID-19 Infodemics Observatory (https://covid19obs.fbk.eu/#/ (opens in new window)). Tweets associated with the COVID-19 pandemics (coronavirus, ncov, #Wuhan, covid19, COVID-19, SARSCoV2, COVID) have been automatically collected using the Twitter Filter API. It contains 7.7 million retweets in the case of USA, 300 thousand in the case of Italy and 900 thousand in the case of the UK. The time of the collection goes from the 22nd of January to the 22nd of May for the USA, while for Italy and the UK it goes from the 22nd of January to the 2nd of December. For each tweet we specified the ID code as well as the time at which it was created. In this dataset one can also find the tables necessary to reproduce exactly the figures in the paper.
Dataset publication year:	2022
Research group:	Alephsys
Researcher identifier:	0000-0001-5560-7094
Related publications:	Castioni, P., Andrighetto, G., Gallotti, R., Polizzi, E., & De Domenico, M. (2022). The voice of few, the opinions of many: Evidence of social biases in Twitter COVID-19 fake news sharing. Royal Society Open Science, 9(10), 220716. https://doi.org/10.1098/rsos.220716
Keywords:	Twitter, Other social sciences, COVID-19, Misinformation
Departament:	Enginyeria Informàtica i Matemàtiques
Related publication's DOI:	10.1098/rsos.220716
Subject matter:	Enginyeria
Access rights:	info:eu-repo/semantics/openAccess
DOI:	10.5061/dryad.bzkh189cc
Dataset title:	COVID-related tweets in the period between January and May 2020

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Description:	The datasets that we used in this work come from the COVID-19 Infodemics Observatory (https://covid19obs.fbk.eu/#/ (opens in new window)). Tweets associated with the COVID-19 pandemics (coronavirus, ncov, #Wuhan, covid19, COVID-19, SARSCoV2, COVID) have been automatically collected using the Twitter Filter API. It contains 7.7 million retweets in the case of USA, 300 thousand in the case of Italy and 900 thousand in the case of the UK. The time of the collection goes from the 22nd of January to the 22nd of May for the USA, while for Italy and the UK it goes from the 22nd of January to the 2nd of December. For each tweet we specified the ID code as well as the time at which it was created. In this dataset one can also find the tables necessary to reproduce exactly the figures in the paper.
Type:	info:eu-repo/semantics/other
Títol:	COVID-related tweets in the period between January and May 2020
Contributor:	Enginyeria Informàtica i Matemàtiques Alephsys
Subject:	Enginyeria Twitter, Other social sciences, COVID-19, Misinformation
Date:	2022
Format:	Universitat Rovira i Virgili (URV)
Creator:	Castioni, Piergiorgio
Rights:	info:eu-repo/semantics/openAccess
Publisher:	Universitat Rovira i Virgili (URV)
Repository ingest date:	2022-11-01

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