Towards Combating Pandemic-related Misinformation in Social Media
November 28, 2020 Β· Declared Dead Β· π Advances in Data Mining and Database Management
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Authors
Isa Inuwa-Dutse
arXiv ID
2011.14146
Category
cs.SI: Social & Info Networks
Cross-listed
cs.IR
Citations
1
Venue
Advances in Data Mining and Database Management
Last Checked
4 months ago
Abstract
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.
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