Automated machine learning approaches for emergency response and coordination via social media in the aftermath of a disaster: A review

L Dwarakanath, A Kamsin, RA Rasheed… - Ieee …, 2021 - ieeexplore.ieee.org
Social media communication serves as an integral part of the crisis response following a
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …

REALTIME QA: what's the answer right now?

J Kasai, K Sakaguchi, R Le Bras… - Advances in …, 2024 - proceedings.neurips.cc
We introduce RealTime QA, a dynamic question answering (QA) platform that announces
questions and evaluates systems on a regular basis (weekly in this version). RealTime QA …

Actionable information in flood risk communications and the potential for new web-based tools for long-term planning for individuals and community

RB Mostafiz, RV Rohli, CJ Friedland… - Frontiers in earth …, 2022 - frontiersin.org
Because of its ubiquitous nature and catastrophic impacts, flood information should be
readily available and continually evaluated, to maximize utility for the public and …

Humaid: Human-annotated disaster incidents data from twitter with deep learning benchmarks

F Alam, U Qazi, M Imran, F Ofli - … of the International AAAI Conference on …, 2021 - ojs.aaai.org
Social networks are widely used for information consumption and dissemination, especially
during time-critical events such as natural disasters. Despite its significantly large volume …

MEDIC: a multi-task learning dataset for disaster image classification

F Alam, T Alam, MA Hasan, A Hasnat, M Imran… - Neural Computing and …, 2023 - Springer
Recent research in disaster informatics demonstrates a practical and important use case of
artificial intelligence to save human lives and suffering during natural disasters based on …

Geoinformation harvesting from social media data: A community remote sensing approach

XX Zhu, Y Wang, M Kochupillai… - … and Remote Sensing …, 2022 - ieeexplore.ieee.org
As unconventional sources of geoinformation, massive imagery and text messages from
open platforms and social media form a temporally quasi-seamless, spatially …

Caves: A dataset to facilitate explainable classification and summarization of concerns towards covid vaccines

S Poddar, AM Samad, R Mukherjee… - Proceedings of the 45th …, 2022 - dl.acm.org
Convincing people to get vaccinated against COVID-19 is a key societal challenge in the
present times. As a first step towards this goal, many prior works have relied on social media …

Blockchain-based event detection and trust verification using natural language processing and machine learning

Z Shahbazi, YC Byun - IEEE Access, 2021 - ieeexplore.ieee.org
Information sharing is one of the huge topics in social media platform regarding the daily
news related to events or disasters happens in nature or its human-made. The automatic …

Exploring the usefulness and feasibility of software requirements for social media use in emergency management

SR Hiltz, AL Hughes, M Imran, L Plotnick… - International journal of …, 2020 - Elsevier
Social Media (SM) contain a wealth of information that could improve the situational
awareness of Emergency Managers during a crisis, but many barriers stand in the way …

Camm: cross-attention multimodal classification of disaster-related tweets

A Khattar, SMK Quadri - IEEE Access, 2022 - ieeexplore.ieee.org
During the past decade, social media platforms have been extensively used for information
dissemination by the affected community and humanitarian agencies during a disaster …