Towards Combating Pandemic-Related Misinformation in Social Media

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


Conventional preventive measures during pandemic 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 the prevailing COVID-19; as the virus propagates, so does the associated misinformation and fake news about it leading to infodemic. Since the outbreak, there has been a surge of studies investigating various aspects of the pandemic. Of interest to this chapter include studies centring on datasets from online social media platforms where the bulk of the public discourse happen. Consequently, the main goal is to support the fight against negative infodemic by (1) contributing a diverse set of curated relevant datasets (2) recommending relevant areas to study using the datasets (3) discussion on 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
PublisherIGI Global
Number of pages19
ISBN (Electronic)9781799867388
ISBN (Print)9781799867364, 1799867366, 9781799867371
Publication statusPublished - 1 Apr 2021
Externally publishedYes

Publication series

NameAdvances in Data Mining and Database Management
PublisherIGI Global
ISSN (Print)2327-1981
ISSN (Electronic)2327-199X


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