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20192026
most citedFighting an Infodemic: COVID-19 Fake News Dataset

273 citations · 329 across the 34 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CY2020★ 3 cited

Digital Landscape of COVID-19 Testing: Challenges and Opportunities

Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar +23

The COVID-19 Pandemic has left a devastating trail all over the world, in terms of loss of lives, economic decline, travel restrictions, trade deficit, and collapsing economy inclu…

econ.GN2020★ 12 cited

Challenges of Equitable Vaccine Distribution in the COVID-19 Pandemic

Joseph Bae, Darshan Gandhi, Jil Kothari +25

The COVID-19 pandemic has led to a need for widespread and rapid vaccine development. As several vaccines have recently been approved for human use or are in different stages of de…

q-bio.OT2020★ 6 cited

Clinical Landscape of COVID-19 Testing: Difficult Choices

Darshan Gandhi, Sanskruti Landage, Joseph Bae +12

The coronavirus disease 2019 (COVID-19) pandemic has spread rapidly across the world, leading to enormous amounts of human death and economic loss. Until definitive preventive or c…

cs.CL2020★ 273 cited

Fighting an Infodemic: COVID-19 Fake News Dataset

Parth Patwa, Shivam Sharma, Srinivas Pykl +6

Along with COVID-19 pandemic we are also fighting an `infodemic'. Fake news and rumors are rampant on social media. Believing in rumors can cause significant harm. This is further…

cs.CL2020★ 1 cited

SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets

Parth Patwa, Gustavo Aguilar, Sudipta Kar +6

In this paper, we present the results of the SemEval-2020 Task 9 on Sentiment Analysis of Code-Mixed Tweets (SentiMix 2020). We also release and describe our Hinglish (Hindi-Englis…