activity
20202022
most citedGeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

102 citations · 210 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CY2022★ 11 cited

A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence

Ferda Ofli, Umair Qazi, Muhammad Imran +4

This paper presents an online system that leverages social media data in real time to identify landslide-related information automatically using state-of-the-art artificial intelli…

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.CV2021★ 19 cited

Landslide Detection in Real-Time Social Media Image Streams

Ferda Ofli, Muhammad Imran, Umair Qazi +4

Lack of global data inventories obstructs scientific modeling of and response to landslide hazards which are oftentimes deadly and costly. To remedy this limitation, new approaches…

cs.CL2021

HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks

Firoj Alam, Umair Qazi, Muhammad Imran +1

Social networks are widely used for information consumption and dissemination, especially during time-critical events such as natural disasters. Despite its significantly large vol…

cs.CV2020★ 3 cited

Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response

Firoj Alam, Ferda Ofli, Muhammad Imran +2

During a disaster event, images shared on social media helps crisis managers gain situational awareness and assess incurred damages, among other response tasks. Recent advances in…

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,…