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20202026
most citedGeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

102 citations · 350 across the 24 of their papers we have counts for

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5 papers · 1 filter

cs.SI2024★ 1 cited

Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models

Abdul Wahab Ziaullah, Ferda Ofli, Muhammad Imran

Critical Infrastructure Facilities (CIFs), such as healthcare and transportation facilities, are vital for the functioning of a community, especially during large-scale emergencies…

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,…

cs.SI2020★ 1 cited

CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing

Firoj Alam, Hassan Sajjad, Muhammad Imran +1

Time-critical analysis of social media streams is important for humanitarian organizations for planing rapid response during disasters. The \textit{crisis informatics} research com…