102 citations · 210 across the 7 of their papers we have counts for
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cs.SI2021★ 50 cited
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels
Muhammad Imran, Umair Qazi, Ferda Ofli
The widespread usage of social networks during mass convergence events, such as health emergencies and disease outbreaks, provides instant access to citizen-generated data that car…
cs.SI2020★ 102 cited
GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information
Umair Qazi, Muhammad Imran, Ferda Ofli
The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disaster…
cs.SI2020★ 25 cited
Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence
Muhammad Imran, Firoj Alam, Umair Qazi +2
Rapid damage assessment is one of the core tasks that response organizations perform at the onset of a disaster to understand the scale of damage to infrastructures such as roads,…