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About:
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
New Facet based on Instances of this Class
Attributes
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
Creator
Martino, San
Da, Giovanni
Nakov, Preslav
Nikolov, Alex
Shaar, Shaden
Abdelali, Ahmed
Alam, Firoj
Dalvi, Fahim
Darwish, Kareem
Durrani, Nadir
Mubarak, Hamdy
Sajjad, Hassan
source
ArXiv
abstract
With the outbreak of the COVID-19 pandemic, people turned to social media to read and to share timely information including statistics, warnings, advice, and inspirational stories. Unfortunately, alongside all this useful information, there was also a new blending of medical and political misinformation and disinformation, which gave rise to the first global infodemic. While fighting this infodemic is typically thought of in terms of factuality, the problem is much broader as malicious content includes not only fake news, rumors, and conspiracy theories, but also promotion of fake cures, panic, racism, xenophobia, and mistrust in the authorities, among others. This is a complex problem that needs a holistic approach combining the perspectives of journalists, fact-checkers, policymakers, government entities, social media platforms, and society as a whole. Taking them into account we define an annotation schema and detailed annotation instructions, which reflect these perspectives. We performed initial annotations using this schema, and our initial experiments demonstrated sizable improvements over the baselines. Now, we issue a call to arms to the research community and beyond to join the fight by supporting our crowdsourcing annotation efforts.
has issue date
2020-07-15
(
xsd:dateTime
)
has license
arxiv
sha1sum (hex)
460986c12b9fdedc3bf9a710c429c5a84608055a
resource representing a document's title
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
resource representing a document's body
covid:460986c12b9fdedc3bf9a710c429c5a84608055a#body_text
is
schema:about
of
named entity 'problem'
named entity 'perspectives'
named entity 'pandemic'
named entity 'annotation'
named entity 'stories'
named entity 'detailed'
named entity 'malicious'
named entity 'misinformation'
named entity 'ACCOUNT'
named entity 'RUMORS'
named entity 'WARNINGS'
named entity 'BUT'
named entity 'CURES'
named entity 'AUTHORITIES'
named entity 'OUR'
named entity 'JOURNALISTS'
named entity 'NEW'
named entity 'GOVERNMENT'
named entity 'RACISM'
named entity 'SCHEMA'
named entity 'RESEARCH COMMUNITY'
named entity 'PANIC'
named entity 'INFORMATION'
named entity 'DETAILED'
named entity 'THESE'
named entity 'holistic'
named entity 'performed'
named entity 'Taking'
named entity 'demonstrated'
named entity 'combining'
named entity 'outbreak'
named entity 'complex'
named entity 'disinformation'
named entity 'complex problem'
named entity 'schema'
named entity 'COVID-19'
named entity 'COVID-19'
named entity 'COVID-19'
named entity 'COVID-19'
named entity 'false information'
named entity 'hashtags'
named entity 'infodemic'
named entity 'Arabic'
named entity 'general public'
named entity 'Cinelli'
named entity 'working from home'
named entity 'Twitter'
named entity 'COVID-19'
named entity 'fact-check'
named entity 'n-grams'
named entity 'infodemic'
named entity '0.80'
named entity 'covid-19'
named entity 'China'
named entity 'correlation'
named entity 'Community spread'
named entity 'COVID-19'
named entity 'crowdsourcing'
named entity 'tweets'
named entity 'IDF'
named entity 'spreadsheet'
named entity 'Arabic'
named entity 'anxiety'
named entity 'ordinal scale'
named entity 'fact-checker'
named entity 'xenophobia'
named entity 'social media platforms'
named entity 'fact-checker'
named entity 'Twitter'
named entity 'COVID-19'
named entity 'Arabic'
named entity 'Yes/No question'
named entity 'Arabic'
named entity 'Twitter'
named entity 'disinformation'
named entity 'ethics'
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