Dataset of Coronavirus Content From Instagram With an Exploratory Analysis

The novel coronavirus (COVID-19) pandemic outbreak is drastically shaping and reshaping many aspects of our life, with a huge impact on our social life. In this era of lockdown policies in most of the major cities around the world, we see a huge increase in people and professionals’ engag...

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Autores principales:	Koosha Zarei, Reza Farahbakhsh, Noel Crespi, Gareth Tyson
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Coronavirus COVID-19 Instagram social network analysis dataset bot Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/857344505eff4782aacb547f6d6abfd6
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spelling	oai:doaj.org-article:857344505eff4782aacb547f6d6abfd62021-12-02T00:00:20ZDataset of Coronavirus Content From Instagram With an Exploratory Analysis2169-353610.1109/ACCESS.2021.3126552https://doaj.org/article/857344505eff4782aacb547f6d6abfd62021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9606724/https://doaj.org/toc/2169-3536The novel coronavirus (COVID-19) pandemic outbreak is drastically shaping and reshaping many aspects of our life, with a huge impact on our social life. In this era of lockdown policies in most of the major cities around the world, we see a huge increase in people and professionals’ engagement in social media. Online Social Networks are playing an important role in news propagation as well as keeping people in contact. At the same time, social media is both a blessing and a curse as the coronavirus infodemic has become a major concern, and is already a topic that needs special attention and further research. In this study, we publish a multilingual coronavirus (COVID-19) Instagram dataset that we have continuously collected during the first wave of the pandemic from 5 January 2020 to 30 May 2020. The dataset contains 25.7K posts, 829K comments, and 3.2M likes in various subjects from different publishers such as ‘public accounts’, ‘fake accounts (bots)’, ‘newsagencies’, ‘influencers’, ‘celebrities’, ‘business pages’, etc. In addition to the dataset, this paper provides an analysis of the behaviour of the publishers. We study the behavioural aspects of the users in terms of their engagement, use of hashtags, activities, reactions as well as a full analysis of the published content related to the COVID-19. We believe this contribution helps the research community to better understand the dynamics behind this phenomenon in Instagram, as one of the major social media.Koosha ZareiReza FarahbakhshNoel CrespiGareth TysonIEEEarticleCoronavirusCOVID-19Instagramsocial network analysisdatasetbotElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 157192-157202 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Coronavirus COVID-19 Instagram social network analysis dataset bot Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Coronavirus COVID-19 Instagram social network analysis dataset bot Electrical engineering. Electronics. Nuclear engineering TK1-9971 Koosha Zarei Reza Farahbakhsh Noel Crespi Gareth Tyson Dataset of Coronavirus Content From Instagram With an Exploratory Analysis
description	The novel coronavirus (COVID-19) pandemic outbreak is drastically shaping and reshaping many aspects of our life, with a huge impact on our social life. In this era of lockdown policies in most of the major cities around the world, we see a huge increase in people and professionals’ engagement in social media. Online Social Networks are playing an important role in news propagation as well as keeping people in contact. At the same time, social media is both a blessing and a curse as the coronavirus infodemic has become a major concern, and is already a topic that needs special attention and further research. In this study, we publish a multilingual coronavirus (COVID-19) Instagram dataset that we have continuously collected during the first wave of the pandemic from 5 January 2020 to 30 May 2020. The dataset contains 25.7K posts, 829K comments, and 3.2M likes in various subjects from different publishers such as ‘public accounts’, ‘fake accounts (bots)’, ‘newsagencies’, ‘influencers’, ‘celebrities’, ‘business pages’, etc. In addition to the dataset, this paper provides an analysis of the behaviour of the publishers. We study the behavioural aspects of the users in terms of their engagement, use of hashtags, activities, reactions as well as a full analysis of the published content related to the COVID-19. We believe this contribution helps the research community to better understand the dynamics behind this phenomenon in Instagram, as one of the major social media.
format	article
author	Koosha Zarei Reza Farahbakhsh Noel Crespi Gareth Tyson
author_facet	Koosha Zarei Reza Farahbakhsh Noel Crespi Gareth Tyson
author_sort	Koosha Zarei
title	Dataset of Coronavirus Content From Instagram With an Exploratory Analysis
title_short	Dataset of Coronavirus Content From Instagram With an Exploratory Analysis
title_full	Dataset of Coronavirus Content From Instagram With an Exploratory Analysis
title_fullStr	Dataset of Coronavirus Content From Instagram With an Exploratory Analysis
title_full_unstemmed	Dataset of Coronavirus Content From Instagram With an Exploratory Analysis
title_sort	dataset of coronavirus content from instagram with an exploratory analysis
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/857344505eff4782aacb547f6d6abfd6
work_keys_str_mv	AT kooshazarei datasetofcoronaviruscontentfrominstagramwithanexploratoryanalysis AT rezafarahbakhsh datasetofcoronaviruscontentfrominstagramwithanexploratoryanalysis AT noelcrespi datasetofcoronaviruscontentfrominstagramwithanexploratoryanalysis AT garethtyson datasetofcoronaviruscontentfrominstagramwithanexploratoryanalysis
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Dataset of Coronavirus Content From Instagram With an Exploratory Analysis

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