TY - CHAP
T1 - Towards combating pandemic-related misinformation in social media
AU - Inuwa-Dutse, Isa
PY - 2021/3/31
Y1 - 2021/3/31
N2 - 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.
AB - 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.
UR - https://doi.org/10.4018/978-1-7998-6736-4
UR - https://discover.libraryhub.jisc.ac.uk/search?isn=9781799867364&rn=1
U2 - 10.4018/978-1-7998-6736-4.ch008
DO - 10.4018/978-1-7998-6736-4.ch008
M3 - Chapter
SN - 9781799867364
SN - 9781799867371
T3 - Advances in data mining and database management
SP - 140
EP - 158
BT - Data science advancements in pandemic and outbreak management
A2 - Asimakopoulou, Eleana
A2 - Bessis, Nik
PB - IGI Global
CY - Hershey, PA
ER -