[HTML][HTML] Deep Learning applications for COVID-19
This survey explores how Deep Learning has battled the COVID-19 pandemic and provides
directions for future research on COVID-19. We cover Deep Learning applications in Natural …
directions for future research on COVID-19. We cover Deep Learning applications in Natural …
[HTML][HTML] Social media mining under the COVID-19 context: Progress, challenges, and opportunities
Social media platforms allow users worldwide to create and share information, forging vast
sensing networks that allow information on certain topics to be collected, stored, mined, and …
sensing networks that allow information on certain topics to be collected, stored, mined, and …
COVIDLies: Detecting COVID-19 misinformation on social media
The ongoing pandemic has heightened the need for develo** tools to flag COVID-19-
related misinformation on the internet, specifically on social media such as Twitter. However …
related misinformation on the internet, specifically on social media such as Twitter. However …
Fighting the COVID-19 infodemic: Modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society
With the emergence of the COVID-19 pandemic, the political and the medical aspects of
disinformation merged as the problem got elevated to a whole new level to become the first …
disinformation merged as the problem got elevated to a whole new level to become the first …
The role of the crowd in countering misinformation: A case study of the COVID-19 infodemic
Fact checking by professionals is viewed as a vital defense in the fight against
misinformation. While fact checking is important and its impact has been significant, fact …
misinformation. While fact checking is important and its impact has been significant, fact …
ArCOV19-rumors: Arabic COVID-19 twitter dataset for misinformation detection
In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for
misinformation detection composed of tweets containing claims from 27th January till the …
misinformation detection composed of tweets containing claims from 27th January till the …
The role of natural language processing during the COVID-19 pandemic: health applications, opportunities, and challenges
The COVID-19 pandemic is the most devastating public health crisis in at least a century and
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
Open-source intelligence: a comprehensive review of the current state, applications and future perspectives in cyber security
The volume of data generated by today's digitally connected world is enormous, and a
significant portion of it is publicly available. These data sources are web archives, public …
significant portion of it is publicly available. These data sources are web archives, public …
Classification aware neural topic model for COVID-19 disinformation categorisation
The explosion of disinformation accompanying the COVID-19 pandemic has overloaded fact-
checkers and media worldwide, and brought a new major challenge to government …
checkers and media worldwide, and brought a new major challenge to government …
[HTML][HTML] Evaluating the generalisability of neural rumour verification models
Research on automated social media rumour verification, the task of identifying the veracity
of questionable information circulating on social media, has yielded neural models …
of questionable information circulating on social media, has yielded neural models …