A first Instagram dataset on COVID-19
Identifieur interne : 000054 ( 2020/Analysis ); précédent : 000053; suivant : 000055A first Instagram dataset on COVID-19
Auteurs : Koosha Zarei [France] ; Reza Farahbakhsh [France] ; Noel Crespi [France] ; Gareth Tyson [Royaume-Uni]Source :
English descriptors
Abstract
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. Social media is playing an important role in news propagation as well as keeping people in contact. At the same time, this source 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 paper, we provide a multilingual coronavirus (COVID-19) Instagram dataset that we have been continuously collected since March 30, 2020. We are making our dataset available to the research community at https://github.com/kooshazarei/COVID-19-InstaPostIDs. We believe that this contribution will help the community to better understand the dynamics behind this phenomenon in Instagram, as one of the major social media. This dataset could also help study the propagation of misinformation related to this outbreak.
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Hal:hal-02557003Le document en format XML
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Tyson</name><affiliation wicri:level="1"><hal:affiliation type="institution" xml:id="struct-303063" status="VALID"> <orgName>Queen Mary University of London</orgName> <orgName type="acronym">QMUL</orgName> <desc> <address> <addrLine>Mile End Road, London E1 4NS</addrLine> <country key="GB"></country> </address> <ref type="url">http://www.qmul.ac.uk/</ref> </desc> </hal:affiliation><country>Royaume-Uni</country></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>COVID-19</term><term>Coronavirus</term><term>Dataset</term><term>Instagram</term><term>Social network analysis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"> <p>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. Social media is playing an important role in news propagation as well as keeping people in contact. At the same time, this source 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 paper, we provide a multilingual coronavirus (COVID-19) Instagram dataset that we have been continuously collected since March 30, 2020. We are making our dataset available to the research community at https://github.com/kooshazarei/COVID-19-InstaPostIDs. We believe that this contribution will help the community to better understand the dynamics behind this phenomenon in Instagram, as one of the major social media. This dataset could also help study the propagation of misinformation related to this outbreak.</p> </div></front></TEI><affiliations><list><country><li>France</li><li>Royaume-Uni</li></country></list><tree><country name="France"><noRegion><name sortKey="Zarei, Koosha" sort="Zarei, Koosha" uniqKey="Zarei K" first="Koosha" last="Zarei">Koosha Zarei</name></noRegion><name sortKey="Crespi, Noel" sort="Crespi, Noel" uniqKey="Crespi N" first="Noel" last="Crespi">Noel Crespi</name><name sortKey="Farahbakhsh, Reza" sort="Farahbakhsh, Reza" uniqKey="Farahbakhsh R" first="Reza" last="Farahbakhsh">Reza Farahbakhsh</name></country><country name="Royaume-Uni"><noRegion><name sortKey="Tyson, Gareth" sort="Tyson, Gareth" uniqKey="Tyson G" first="Gareth" last="Tyson">Gareth Tyson</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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