Impact of COVID-19 on Societal Behavior via Twitter Analytics

The outbreak of the COVID – 19 pandemic has caused a notable challenge to the well-being of people all around the globe. In such times, it is of foremost importance to analyze the information posted by people on social media. In this study, a Twitter-based dataset related to COVID-19 has been analyz...

Descripción completa

Detalles Bibliográficos
Autores principales: Bhaik, Anubha, Gupta, Pradeep Kumar, Siddiqui, Mohammad Khubeb, Morales-Menendez, Ruben
Formato: Artículo revista
Lenguaje:Español
Publicado: Universidad Nacional de Córdoba 2022
Materias:
COVID-19
coronavirus
twitter
societal behavior analysis
Análisis del Comportamiento Social
Acceso en línea:https://revistas.unc.edu.ar/index.php/racc/article/view/30816
Aporte de:
Revista Argentina de Ciencias del Comportamiento de Universidad Nacional de Córdoba
id I10-R363-article-30816
record_format ojs
spelling I10-R363-article-308162022-10-26T14:25:03Z Impact of COVID-19 on Societal Behavior via Twitter Analytics Impact of COVID-19 on Societal Behavior via Twitter Analytics Bhaik, Anubha Gupta, Pradeep Kumar Siddiqui, Mohammad Khubeb Morales-Menendez, Ruben COVID-19 coronavirus twitter societal behavior analysis COVID-19 coronavirus twitter Análisis del Comportamiento Social The outbreak of the COVID – 19 pandemic has caused a notable challenge to the well-being of people all around the globe. In such times, it is of foremost importance to analyze the information posted by people on social media. In this study, a Twitter-based dataset related to COVID-19 has been analyzed, and the effect of the pandemic on societal behavior has been revealed. Tweets have been hydrated and pre-processed using the NLTK toolkit to find the most frequently posted COVID- related words. This research can help identify the social response of people to the Pandemic, realizing what people are majorly concerned about and extracting knowledge about the daily trend of sentiments around the world. It has been concluded from our analysis that rather than the expected negative trend in the use of COVID-19 terms on a daily basis, more positive figurative language has been used in the posted tweets.  The outbreak of the COVID-19 pandemic has caused a notable challenge to the well-being of people all around the globe. In such times, it is of foremost importance to analyze the information posted by people on social media. In this study, a Twitter-based dataset related to COVID-19 has been analyzed, and the effect of the pandemic on societal behavior has been revealed. Tweets have been hydrated and pre-processed using the NLTK toolkit to find the most frequently posted COVID- related words. This research can help identify the social response of people to the Pandemic, realizing what people are majorly concerned about and extracting knowledge about the daily trend of sentiments around the world. It has been concluded from our analysis that rather than the expected negative trend in the use of COVID-19 terms on a daily basis, more positive figurative language has been used in the posted tweets. Universidad Nacional de Córdoba 2022-08-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/racc/article/view/30816 10.32348/1852.4206.v14.n2.30816 Argentinean Journal of Behavioral Sciences; Vol. 14 No. 2 (2022): Revista Argentina de Ciencias del Comportamiento; 37-48 Revista Argentina de Ciencias del Comportamiento; Vol. 14 Núm. 2 (2022): Revista Argentina de Ciencias del Comportamiento; 37-48 1852-4206 10.32348/1852.4206.v14.n2 spa https://revistas.unc.edu.ar/index.php/racc/article/view/30816/38979 Derechos de autor 2022 Anubha Bhaik, P.K. Gupta, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez http://creativecommons.org/licenses/by/4.0
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-363
container_title_str Revista Argentina de Ciencias del Comportamiento
language Español
format Artículo revista
topic COVID-19
coronavirus
twitter
societal behavior analysis
COVID-19
coronavirus
twitter
Análisis del Comportamiento Social
spellingShingle COVID-19
coronavirus
twitter
societal behavior analysis
COVID-19
coronavirus
twitter
Análisis del Comportamiento Social
Bhaik, Anubha
Gupta, Pradeep Kumar
Siddiqui, Mohammad Khubeb
Morales-Menendez, Ruben
Impact of COVID-19 on Societal Behavior via Twitter Analytics
topic_facet COVID-19
coronavirus
twitter
societal behavior analysis
COVID-19
coronavirus
twitter
Análisis del Comportamiento Social
author Bhaik, Anubha
Gupta, Pradeep Kumar
Siddiqui, Mohammad Khubeb
Morales-Menendez, Ruben
author_facet Bhaik, Anubha
Gupta, Pradeep Kumar
Siddiqui, Mohammad Khubeb
Morales-Menendez, Ruben
author_sort Bhaik, Anubha
title Impact of COVID-19 on Societal Behavior via Twitter Analytics
title_short Impact of COVID-19 on Societal Behavior via Twitter Analytics
title_full Impact of COVID-19 on Societal Behavior via Twitter Analytics
title_fullStr Impact of COVID-19 on Societal Behavior via Twitter Analytics
title_full_unstemmed Impact of COVID-19 on Societal Behavior via Twitter Analytics
title_sort impact of covid-19 on societal behavior via twitter analytics
description The outbreak of the COVID – 19 pandemic has caused a notable challenge to the well-being of people all around the globe. In such times, it is of foremost importance to analyze the information posted by people on social media. In this study, a Twitter-based dataset related to COVID-19 has been analyzed, and the effect of the pandemic on societal behavior has been revealed. Tweets have been hydrated and pre-processed using the NLTK toolkit to find the most frequently posted COVID- related words. This research can help identify the social response of people to the Pandemic, realizing what people are majorly concerned about and extracting knowledge about the daily trend of sentiments around the world. It has been concluded from our analysis that rather than the expected negative trend in the use of COVID-19 terms on a daily basis, more positive figurative language has been used in the posted tweets. 
publisher Universidad Nacional de Córdoba
publishDate 2022
url https://revistas.unc.edu.ar/index.php/racc/article/view/30816
work_keys_str_mv AT bhaikanubha impactofcovid19onsocietalbehaviorviatwitteranalytics
AT guptapradeepkumar impactofcovid19onsocietalbehaviorviatwitteranalytics
AT siddiquimohammadkhubeb impactofcovid19onsocietalbehaviorviatwitteranalytics
AT moralesmenendezruben impactofcovid19onsocietalbehaviorviatwitteranalytics
first_indexed 2024-09-03T22:31:24Z
last_indexed 2024-09-03T22:31:24Z
_version_ 1809215845165957120

Ejemplares similares