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Pervasive use of social media has become the emerging source for real-time information (like images, text, or both) to identify various events. Despite the rapid growth of image and text-based event classification, the state-of-the-art…

Machine Learning · Computer Science 2024-01-15 Shubham Gupta , Nandini Saini , Suman Kundu , Debasis Das

Recent developments in image classification and natural language processing, coupled with the rapid growth in social media usage, have enabled fundamental advances in detecting breaking events around the world in real-time. Emergency…

Machine Learning · Computer Science 2020-04-13 Mahdi Abavisani , Liwei Wu , Shengli Hu , Joel Tetreault , Alejandro Jaimes

The shared real-time information about natural disasters on social media platforms like Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and response organizations. However, supervised learning models…

Computation and Language · Computer Science 2023-10-24 Henry Peng Zou , Yue Zhou , Cornelia Caragea , Doina Caragea

Classification of crisis events, such as natural disasters, terrorist attacks and pandemics, is a crucial task to create early signals and inform relevant parties for spontaneous actions to reduce overall damage. Despite crisis such as…

Computation and Language · Computer Science 2020-05-19 Junhua Liu , Trisha Singhal , Lucienne T. M. Blessing , Kristin L. Wood , Kwan Hui Lim

Multimedia content in social media platforms provides significant information during disaster events. The types of information shared include reports of injured or deceased people, infrastructure damage, and missing or found people, among…

Computer Vision and Pattern Recognition · Computer Science 2020-04-27 Ferda Ofli , Firoj Alam , Muhammad Imran

During natural and man-made disasters, people use social media platforms such as Twitter to post textual and multime- dia content to report updates about injured or dead people, infrastructure damage, and missing or found people among other…

Social and Information Networks · Computer Science 2018-05-03 Firoj Alam , Ferda Ofli , Muhammad Imran

This paper introduces a novel approach for multimodal sentiment analysis on social media, particularly in the context of natural disasters, where understanding public sentiment is crucial for effective crisis management. Unlike conventional…

Machine Learning · Computer Science 2025-08-20 Meriem Zerkouk , Miloud Mihoubi , Belkacem Chikhaoui

Understanding causality between real-world events from social media is essential for situational awareness, yet existing causal discovery methods often overlook the interplay between semantic, spatial, and temporal contexts. We propose…

Social and Information Networks · Computer Science 2026-02-04 Hieu Duong , Eugene Levin , Todd Gary , Long Nguyen

During time-critical situations such as natural disasters, rapid classification of data posted on social networks by affected people is useful for humanitarian organizations to gain situational awareness and to plan response efforts.…

Computers and Society · Computer Science 2018-05-17 Firoj Alam , Shafiq Joty , Muhammad Imran

It is a challenging and complex task to acquire information from different regions of a disaster-affected area in a timely fashion. The extensive spread and reach of social media and networks allow people to share information in real-time.…

Social and Information Networks · Computer Science 2019-08-06 Md. Yasin Kabir , Sanjay Madria

Identification and categorization of social media posts generated during disasters are crucial to reduce the sufferings of the affected people. However, lack of labeled data is a significant bottleneck in learning an effective…

Computation and Language · Computer Science 2024-10-28 Samujjwal Ghosh , Subhadeep Maji , Maunendra Sankar Desarkar

Social media plays a significant role in disaster management by providing valuable data about affected people, donations and help requests. Recent studies highlight the need to filter information on social media into fine-grained content…

Computation and Language · Computer Science 2021-05-20 Hamada M. Zahera , Rricha Jalota , Mohamed A. Sherif , Axel N. Ngomo

Time-critical analysis of social media streams is important for humanitarian organizations for planing rapid response during disasters. The \textit{crisis informatics} research community has developed several techniques and systems for…

Social and Information Networks · Computer Science 2021-04-20 Firoj Alam , Hassan Sajjad , Muhammad Imran , Ferda Ofli

Advances in social media data dissemination enable the provision of real-time information during a crisis. The information comes from different classes, such as infrastructure damages, persons missing or stranded in the affected zone, etc.…

Computation and Language · Computer Science 2026-03-20 Thi Huyen Nguyen , Koustav Rudra , Wolfgang Nejdl

Social media imagery provides a low-latency source of situational information during natural and human-induced disasters, enabling rapid damage assessment and response. While Visual Question Answering (VQA) has shown strong performance in…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Aisha Al-Mohannadi , Ayisha Firoz , Yin Yang , Muhammad Imran , Ferda Ofli

Online social media works as a source of various valuable and actionable information during disasters. These information might be available in multiple languages due to the nature of user generated content. An effective system to…

Computation and Language · Computer Science 2022-03-08 Samujjwal Ghosh , Subhadeep Maji , Maunendra Sankar Desarkar

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 computer vision and deep neural networks have enabled the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-19 Firoj Alam , Ferda Ofli , Muhammad Imran , Tanvirul Alam , Umair Qazi

Social networks can be a valuable source of information during crisis events. In particular, users can post a stream of multimodal data that can be critical for real-time humanitarian response. However, effectively extracting meaningful…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Nusrat Munia , Junfeng Zhu , Olfa Nasraoui , Abdullah-Al-Zubaer Imran

Real-time social media data can provide useful information on evolving hazards. Alongside traditional methods of disaster detection, the integration of social media data can considerably enhance disaster management. In this paper, we…

Social and Information Networks · Computer Science 2023-01-31 Elena-Simona Apostol , Ciprian-Octavian Truică , Adrian Paschke

Social media has become an integral part of our daily lives. During time-critical events, the public shares a variety of posts on social media including reports for resource needs, damages, and help offerings for the affected community.…

Social and Information Networks · Computer Science 2019-11-04 Ganesh Nalluru , Rahul Pandey , Hemant Purohit
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