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During disasters, extracting causal relations from social media can strengthen situational awareness by identifying factors linked to casualties, physical damage, infrastructure disruption, and cascading impacts. However, disaster-related…

计算与语言 · 计算机科学 2026-05-13 Ujun Jeong , Saketh Vishnubhatla , Bohan Jiang , Andre Harrison , Adrienne Raglin , Huan Liu

The success of a disaster relief and response process is largely dependent on timely and accurate information regarding the status of the disaster, the surrounding environment, and the affected people. This information is primarily provided…

社会与信息网络 · 计算机科学 2017-09-11 Tahora H. Nazer , Guoliang Xue , Yusheng Ji , Huan Liu

Post-hazard reconnaissance for natural disasters (e.g., earthquakes) is important for understanding the performance of the built environment, speeding up the recovery, enhancing resilience and making informed decisions related to current…

计算与语言 · 计算机科学 2021-02-15 Alicia Y. Tsai , Selim Gunay , Minjune Hwang , Pengyuan Zhai , Chenglong Li , Laurent El Ghaoui , Khalid M. Mosalam

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…

计算机视觉与模式识别 · 计算机科学 2020-04-27 Ferda Ofli , Firoj Alam , Muhammad Imran

Although a lot of research has been done on utilising Online Social Media during disasters, there exists no system for a specific task that is critical in a post-disaster scenario -- identifying resource-needs and resource-availabilities in…

社会与信息网络 · 计算机科学 2021-01-27 Kaustubh Hiware , Ritam Dutt , Sayan Sinha , Sohan Patro , Kripabandhu Ghosh , Saptarshi Ghosh

Social media like Twitter provide a common platform to share and communicate personal experiences with other people. People often post their life experiences, local news, and events on social media to inform others. Many rescue agencies…

计算与语言 · 计算机科学 2021-08-25 Ashis Kumar Chanda

User sentiment on social media reveals the underlying social trends, crises, and needs. Researchers have analyzed users' past messages to trace the evolution of sentiments and reconstruct sentiment dynamics. However, predicting the imminent…

计算与语言 · 计算机科学 2025-12-25 Fanhang Man , Huandong Wang , Jianjie Fang , Zhaoyi Deng , Baining Zhao , Xinlei Chen , Yong Li

Critical Infrastructure Facilities (CIFs), such as healthcare and transportation facilities, are vital for the functioning of a community, especially during large-scale emergencies. In this paper, we explore a potential application of Large…

社会与信息网络 · 计算机科学 2024-04-24 Abdul Wahab Ziaullah , Ferda Ofli , Muhammad Imran

A vast amount of textual web streams is influenced by events or phenomena emerging in the real world. The social web forms an excellent modern paradigm, where unstructured user generated content is published on a regular basis and in most…

机器学习 · 计算机科学 2012-08-15 Vasileios Lampos

Twitter is recently being used during crises to communicate with officials and provide rescue and relief operation in real time. The geographical location information of the event, as well as users, are vitally important in such scenarios.…

机器学习 · 计算机科学 2019-01-25 Abhinav Kumar , Jyoti Prakash Singh

Situational awareness is crucial for effective disaster management. However, obtaining information about the actual situation is usually difficult and time-consuming. While there has been some effort in terms of incorporating the affected…

社会与信息网络 · 计算机科学 2013-01-11 Sander Wozniak , Michael Rossberg , Guenter Schaefer

The extensive use of social media platforms, especially during disasters, creates unique opportunities for humanitarian organizations to gain situational awareness and launch relief operations accordingly. In addition to the textual…

计算机与社会 · 计算机科学 2017-04-11 Dat Tien Nguyen , Firoj Alam , Ferda Ofli , Muhammad Imran

People often turn to social media to comment upon and share information about major global events. Accordingly, social media is receiving increasing attention as a rich data source for understanding people's social, political and economic…

Sentiment analysis on social media data such as tweets and weibo has become a very important and challenging task. Due to the intrinsic properties of such data, tweets are short, noisy, and of divergent topics, and sentiment classification…

计算与语言 · 计算机科学 2016-05-06 Minlie Huang , Yujie Cao , Chao Dong

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…

社会与信息网络 · 计算机科学 2021-04-20 Firoj Alam , Hassan Sajjad , Muhammad Imran , Ferda Ofli

Social media has become an important tool to share information about crisis events such as natural disasters and mass attacks. Detecting actionable posts that contain useful information requires rapid analysis of huge volume of data in…

计算与语言 · 计算机科学 2020-11-03 Evangelia Spiliopoulou , Salvador Medina Maza , Eduard Hovy , Alexander Hauptmann

Microblogging sites like Twitter and Weibo have emerged as important sourcesof real-time information on ongoing events, including socio-political events, emergency events, and so on. For instance, during emergency events (such as…

信息检索 · 计算机科学 2017-07-20 Prannay Khosla , Moumita Basu , Kripabandhu Ghosh , Saptarshi Ghosh

Catastrophic events create uncertain situations for humanitarian organizations locating and providing aid to affected people. Many people turn to social media during disasters for requesting help and/or providing relief to others. However,…

计算与语言 · 计算机科学 2023-03-07 Irfan Ullah , Sharifullah Khan , Muhammad Imran , Young-Koo Lee

Effective disaster response is critical for affected communities. Responders and decision-makers would benefit from reliable, timely measures of the issues impacting their communities during a disaster, and social media offers a potentially…

社会与信息网络 · 计算机科学 2024-01-11 Zihui Ma , Lingyao Li , Libby Hemphill , Gregory B. Baecher , Yubai Yuan

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…

计算与语言 · 计算机科学 2023-10-24 Henry Peng Zou , Yue Zhou , Cornelia Caragea , Doina Caragea