Towards combating pandemic-related misinformation in social media

Isa Inuwa-Dutse

Research output: Chapter in Book/Report/Conference proceedingChapter


Conventional preventive measures during pandemics include social distancing and lockdown. Such measures in the time of social media brought about a new set of challenges – vulnerability to the toxic impact of online misinformation is high. A case in point is COVID-19. As the virus propagates, so does the associated misinformation and fake news about it leading to an infodemic. Since the outbreak, there has been a surge of studies investigating various aspects of the pandemic. Of interest to this chapter are studies centering on datasets from online social media platforms where the bulk of the public discourse happens. The main goal is to support the fight against negative infodemic by (1) contributing a diverse set of curated relevant datasets; (2) offering relevant areas to study using the datasets; and (3) demonstrating how relevant datasets, strategies, and state-of-the-art IT tools can be leveraged in managing the pandemic.
Original languageEnglish
Title of host publicationData science advancements in pandemic and outbreak management
EditorsEleana Asimakopoulou, Nik Bessis
Place of PublicationHershey, PA
PublisherIGI Global
Number of pages19
ISBN (Electronic)9781799867388
ISBN (Print)9781799867364, 9781799867371
Publication statusPublished - 31 Mar 2021

Publication series

NameAdvances in data mining and database management
ISSN (Print)2327-1981


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