A first Instagram dataset on COVID-19
Identifieur interne : 000021 ( Hal/Curation ); précédent : 000020; suivant : 000022A 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.
Url:
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000021
Links to Exploration step
Hal:hal-02557003Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A first Instagram dataset on COVID-19</title>
<author><name sortKey="Zarei, Koosha" sort="Zarei, Koosha" uniqKey="Zarei K" first="Koosha" last="Zarei">Koosha Zarei</name>
<affiliation wicri:level="1"><hal:affiliation type="regroupinstitution" xml:id="struct-563936" status="VALID"> <orgName>Institut Polytechnique de Paris</orgName>
<orgName type="acronym">IP Paris</orgName>
<date type="start">2019-06-02</date>
<desc> <address> <country key="FR"></country>
</address>
<ref type="url">https://www.ip-paris.fr</ref>
</desc>
</hal:affiliation>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Farahbakhsh, Reza" sort="Farahbakhsh, Reza" uniqKey="Farahbakhsh R" first="Reza" last="Farahbakhsh">Reza Farahbakhsh</name>
<affiliation wicri:level="1"><hal:affiliation type="regroupinstitution" xml:id="struct-563936" status="VALID"> <orgName>Institut Polytechnique de Paris</orgName>
<orgName type="acronym">IP Paris</orgName>
<date type="start">2019-06-02</date>
<desc> <address> <country key="FR"></country>
</address>
<ref type="url">https://www.ip-paris.fr</ref>
</desc>
</hal:affiliation>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Crespi, Noel" sort="Crespi, Noel" uniqKey="Crespi N" first="Noel" last="Crespi">Noel Crespi</name>
<affiliation wicri:level="1"><hal:affiliation type="regroupinstitution" xml:id="struct-563936" status="VALID"> <orgName>Institut Polytechnique de Paris</orgName>
<orgName type="acronym">IP Paris</orgName>
<date type="start">2019-06-02</date>
<desc> <address> <country key="FR"></country>
</address>
<ref type="url">https://www.ip-paris.fr</ref>
</desc>
</hal:affiliation>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Tyson, Gareth" sort="Tyson, Gareth" uniqKey="Tyson G" first="Gareth" last="Tyson">Gareth 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>
</titleStmt>
<publicationStmt><idno type="wicri:source">HAL</idno>
<idno type="RBID">Hal:hal-02557003</idno>
<idno type="halId">hal-02557003</idno>
<idno type="halUri">https://hal.archives-ouvertes.fr/hal-02557003</idno>
<idno type="url">https://hal.archives-ouvertes.fr/hal-02557003</idno>
<date when="2020-04-28">2020-04-28</date>
<idno type="wicri:Area/Hal/Corpus">000021</idno>
<idno type="wicri:Area/Hal/Curation">000021</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">A first Instagram dataset on COVID-19</title>
<author><name sortKey="Zarei, Koosha" sort="Zarei, Koosha" uniqKey="Zarei K" first="Koosha" last="Zarei">Koosha Zarei</name>
<affiliation wicri:level="1"><hal:affiliation type="regroupinstitution" xml:id="struct-563936" status="VALID"> <orgName>Institut Polytechnique de Paris</orgName>
<orgName type="acronym">IP Paris</orgName>
<date type="start">2019-06-02</date>
<desc> <address> <country key="FR"></country>
</address>
<ref type="url">https://www.ip-paris.fr</ref>
</desc>
</hal:affiliation>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Farahbakhsh, Reza" sort="Farahbakhsh, Reza" uniqKey="Farahbakhsh R" first="Reza" last="Farahbakhsh">Reza Farahbakhsh</name>
<affiliation wicri:level="1"><hal:affiliation type="regroupinstitution" xml:id="struct-563936" status="VALID"> <orgName>Institut Polytechnique de Paris</orgName>
<orgName type="acronym">IP Paris</orgName>
<date type="start">2019-06-02</date>
<desc> <address> <country key="FR"></country>
</address>
<ref type="url">https://www.ip-paris.fr</ref>
</desc>
</hal:affiliation>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Crespi, Noel" sort="Crespi, Noel" uniqKey="Crespi N" first="Noel" last="Crespi">Noel Crespi</name>
<affiliation wicri:level="1"><hal:affiliation type="regroupinstitution" xml:id="struct-563936" status="VALID"> <orgName>Institut Polytechnique de Paris</orgName>
<orgName type="acronym">IP Paris</orgName>
<date type="start">2019-06-02</date>
<desc> <address> <country key="FR"></country>
</address>
<ref type="url">https://www.ip-paris.fr</ref>
</desc>
</hal:affiliation>
<country>France</country>
</affiliation>
</author>
<author><name sortKey="Tyson, Gareth" sort="Tyson, Gareth" uniqKey="Tyson G" first="Gareth" last="Tyson">Gareth 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>
<hal api="V3"> <titleStmt> <title xml:lang="en">A first Instagram dataset on COVID-19</title>
<author role="aut"> <persName> <forename type="first">Koosha</forename>
<surname>Zarei</surname>
</persName>
<email type="md5">518e59bef2cc063a99856dfbaf45dd1c</email>
<email type="domain">telecom-sudparis.eu</email>
<idno type="halauthorid">11652098</idno>
<affiliation ref="#struct-563936"></affiliation>
<affiliation ref="#struct-442711"></affiliation>
<affiliation ref="#struct-95599"></affiliation>
</author>
<author role="aut"> <persName> <forename type="first">Reza</forename>
<surname>Farahbakhsh</surname>
</persName>
<email type="md5">ce2846b42255e2433e72060925b20b36</email>
<email type="domain">telecom-sudparis.eu</email>
<idno type="halauthorid">1353570</idno>
<affiliation ref="#struct-563936"></affiliation>
<affiliation ref="#struct-442711"></affiliation>
<affiliation ref="#struct-95599"></affiliation>
</author>
<author role="aut"> <persName> <forename type="first">Noel</forename>
<surname>Crespi</surname>
</persName>
<email type="md5">a3d305985b3570a54b9d7ab5c12a6bf1</email>
<email type="domain">telecom-sudparis.eu</email>
<ptr type="url" target="http://noelcrespi.wp.it-sudparis.eu/"></ptr>
<idno type="idhal" notation="string">noel-crespi</idno>
<idno type="idhal" notation="numeric">177258</idno>
<idno type="halauthorid">1294001</idno>
<idno type="ORCID">https://orcid.org/0000-0003-2962-192X</idno>
<affiliation ref="#struct-563936"></affiliation>
<affiliation ref="#struct-442711"></affiliation>
<affiliation ref="#struct-95599"></affiliation>
</author>
<author role="aut"> <persName> <forename type="first">Gareth</forename>
<surname>Tyson</surname>
</persName>
<idno type="halauthorid">11810302</idno>
<affiliation ref="#struct-303063"></affiliation>
</author>
<editor role="depositor"> <persName> <forename>Noel</forename>
<surname>Crespi</surname>
</persName>
<email type="md5">c3b13d646052613b0ad3ee57e31b1baa</email>
<email type="domain">mines-telecom.fr</email>
</editor>
</titleStmt>
<editionStmt> <edition n="v1" type="current"> <date type="whenSubmitted">2020-04-28 13:46:18</date>
<date type="whenModified">2020-05-01 01:09:11</date>
<date type="whenReleased">2020-04-29 09:44:24</date>
<date type="whenProduced">2020-04-28</date>
<date type="whenEndEmbargoed">2020-04-28</date>
<ref type="file" target="https://hal.archives-ouvertes.fr/hal-02557003/document"> <date notBefore="2020-04-28"></date>
</ref>
<ref type="file" subtype="author" n="1" target="https://hal.archives-ouvertes.fr/hal-02557003/file/2004.12226.pdf"> <date notBefore="2020-04-28"></date>
</ref>
</edition>
<respStmt> <resp>contributor</resp>
<name key="781480"> <persName> <forename>Noel</forename>
<surname>Crespi</surname>
</persName>
<email type="md5">c3b13d646052613b0ad3ee57e31b1baa</email>
<email type="domain">mines-telecom.fr</email>
</name>
</respStmt>
</editionStmt>
<publicationStmt> <distributor>CCSD</distributor>
<idno type="halId">hal-02557003</idno>
<idno type="halUri">https://hal.archives-ouvertes.fr/hal-02557003</idno>
<idno type="halBibtex">zarei:hal-02557003</idno>
<idno type="halRefHtml">2020</idno>
<idno type="halRef">2020</idno>
</publicationStmt>
<seriesStmt> <idno type="stamp" n="INSTITUTS-TELECOM" corresp="INSTITUT-TELECOM">composantes instituts telecom </idno>
<idno type="stamp" n="TELECOM-SUDPARIS" corresp="INSTITUT-TELECOM">Télécom SudParis</idno>
<idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
<idno type="stamp" n="IP_PARIS_COPIE">IP PARIS COPIE CCSD</idno>
<idno type="stamp" n="IP_PARIS">Institut Polytechnique de Paris</idno>
<idno type="stamp" n="INSTITUT-TELECOM">Institut Télécom</idno>
</seriesStmt>
<notesStmt></notesStmt>
<sourceDesc> <biblStruct> <analytic> <title xml:lang="en">A first Instagram dataset on COVID-19</title>
<author role="aut"> <persName> <forename type="first">Koosha</forename>
<surname>Zarei</surname>
</persName>
<email type="md5">518e59bef2cc063a99856dfbaf45dd1c</email>
<email type="domain">telecom-sudparis.eu</email>
<idno type="halauthorid">11652098</idno>
<affiliation ref="#struct-563936"></affiliation>
<affiliation ref="#struct-442711"></affiliation>
<affiliation ref="#struct-95599"></affiliation>
</author>
<author role="aut"> <persName> <forename type="first">Reza</forename>
<surname>Farahbakhsh</surname>
</persName>
<email type="md5">ce2846b42255e2433e72060925b20b36</email>
<email type="domain">telecom-sudparis.eu</email>
<idno type="halauthorid">1353570</idno>
<affiliation ref="#struct-563936"></affiliation>
<affiliation ref="#struct-442711"></affiliation>
<affiliation ref="#struct-95599"></affiliation>
</author>
<author role="aut"> <persName> <forename type="first">Noel</forename>
<surname>Crespi</surname>
</persName>
<email type="md5">a3d305985b3570a54b9d7ab5c12a6bf1</email>
<email type="domain">telecom-sudparis.eu</email>
<ptr type="url" target="http://noelcrespi.wp.it-sudparis.eu/"></ptr>
<idno type="idhal" notation="string">noel-crespi</idno>
<idno type="idhal" notation="numeric">177258</idno>
<idno type="halauthorid">1294001</idno>
<idno type="ORCID">https://orcid.org/0000-0003-2962-192X</idno>
<affiliation ref="#struct-563936"></affiliation>
<affiliation ref="#struct-442711"></affiliation>
<affiliation ref="#struct-95599"></affiliation>
</author>
<author role="aut"> <persName> <forename type="first">Gareth</forename>
<surname>Tyson</surname>
</persName>
<idno type="halauthorid">11810302</idno>
<affiliation ref="#struct-303063"></affiliation>
</author>
</analytic>
<monogr> <imprint></imprint>
</monogr>
</biblStruct>
</sourceDesc>
<profileDesc> <langUsage> <language ident="en">English</language>
</langUsage>
<textClass> <keywords scheme="author"> <term xml:lang="en">Instagram</term>
<term xml:lang="en">COVID-19</term>
<term xml:lang="en">Coronavirus</term>
<term xml:lang="en">Social network analysis</term>
<term xml:lang="en">Dataset</term>
</keywords>
<classCode scheme="halDomain" n="info.info-ni">Computer Science [cs]/Networking and Internet Architecture [cs.NI]</classCode>
<classCode scheme="halDomain" n="info.info-si">Computer Science [cs]/Social and Information Networks [cs.SI]</classCode>
<classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode>
<classCode scheme="halTypology" n="UNDEFINED">Preprints, Working Papers, ...</classCode>
</textClass>
<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>
</abstract>
</profileDesc>
</hal>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/Hal/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000021 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Hal/Curation/biblio.hfd -nk 000021 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= PandemieGrippaleV1 |flux= Hal |étape= Curation |type= RBID |clé= Hal:hal-02557003 |texte= A first Instagram dataset on COVID-19 }}
This area was generated with Dilib version V0.6.34. |