We describe Mega-COV, a billion-scale dataset from Twitter for studying COVID-19. The dataset is diverse (covers 268 countries), longitudinal (goes as back as 2007), multilingual (comes in 100+ languages), and has a significant number of location-tagged tweets (  169M tweets). We release tweet IDs from the dataset. We also develop and release a powerful model (acc = 94%DIFDELCMD < \\%%% %DIF < ) for teasing apart messages related to the pandemic from those that are not. Our data and models can be useful for studying various phenomena related to the pandemic and accelerating viable solutions to associated problems. Our data and models are publicly available for research.abstract 
We describe Mega-COV, a billion-scale dataset from Twitter for studying COVID-19. The dataset is diverse (covers 268 countries), longitudinal (goes as back as 2007), multilingual (comes in 100+ languages), and has a significant number of location-tagged tweets ( ~ 169M tweets). We release tweet IDs from the dataset. We also develop and release two powerful models, one for identifying whether or not a tweet is related to the pandemic (best F1 = %DIFDELCMD < \\%%% %DIF < ) for teasing apart messages related to the pandemic from those that are not. Our data and models can be useful for studying various phenomena related to the pandemic and accelerating viable solutions to associated problems. Our data and models are publicly available for research.abstract 97\%) and another for detecting misinformation about COVID-19 (best F1=92\%). A human annotation study reveals the utility of our models on a subset of Mega-COV. Our data and models can be useful for studying a wide host of phenomena related to the pandemic. Mega-COV and our models are publicly available.
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a powerful model (acc
two powerful models, one for identifying whether or not a tweet is related to the pandemic (best F1
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94
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97\%) and another for detecting misinformation about COVID-19 (best F1=92\%). A human annotation study reveals the utility of our models on a subset of Mega-COV. Our data and models can be useful for studying a wide host of phenomena related to the pandemic. Mega-COV and our models are publicly available.