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Timely classification of humanitarian information from social media is critical for effective disaster response. However, deploying large language models (LLMs) for this task faces challenges in resource-constrained emergency settings. This…

Computation and Language · Computer Science 2026-02-16 Han Jinzhen , Kim Jisung , Yang Jong Soo , Yun Hong Sik

During natural disasters, people often use social media platforms such as Twitter to ask for help, to provide information about the disaster situation, or to express contempt about the unfolding event or public policies and guidelines. This…

Computation and Language · Computer Science 2023-08-17 Tiberiu Sosea , Junyi Jessy Li , Cornelia Caragea

Social media posts contain an abundant amount of information about public opinion on major events, especially natural disasters such as hurricanes. Posts related to an event, are usually published by the users who live near the place of the…

Social and Information Networks · Computer Science 2023-08-14 Songhui Yue , Jyothsna Kondari , Aibek Musaev , Randy K. Smith , Songqing Yue

Images shared on social media help crisis managers gain situational awareness and assess incurred damages, among other response tasks. As the volume and velocity of such content are typically high, real-time image classification has become…

Computer Vision and Pattern Recognition · Computer Science 2021-07-20 Firoj Alam , Tanvirul Alam , Muhammad Imran , Ferda Ofli

In the field of crisis/disaster informatics, social media is increasingly being used for improving situational awareness to inform response and relief efforts. Efficient and accurate text classification tools have been a focal area of…

Computation and Language · Computer Science 2025-08-08 Kai Yin , Bo Li , Chengkai Liu , Ali Mostafavi , Xia Hu

During the onset of a disaster event, filtering relevant information from the social web data is challenging due to its sparse availability and practical limitations in labeling datasets of an ongoing crisis. In this paper, we hypothesize…

Computation and Language · Computer Science 2020-10-22 Jitin Krishnan , Hemant Purohit , Huzefa Rangwala

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,…

Computation and Language · Computer Science 2023-03-07 Irfan Ullah , Sharifullah Khan , Muhammad Imran , Young-Koo Lee

Social media has become a critical source of situational awareness during disasters, providing real-time insights into evolving impacts and emerging needs. To support crisis response at scale, recent work has increasingly leveraged large…

Computers and Society · Computer Science 2026-05-05 Timothy Douglas , Roben Delos Reyes , Asanobu Kitamoto

Social media is often utilized as a lifeline for communication during natural disasters. Traditionally, natural disaster tweets are filtered from the Twitter stream using the name of the natural disaster and the filtered tweets are sent for…

Computation and Language · Computer Science 2022-07-12 Ramya Tekumalla , Juan M. Banda

Streaming social media provides a real-time glimpse of extreme weather impacts. However, the volume of streaming data makes mining information a challenge for emergency managers, policy makers, and disciplinary scientists. Here we explore…

Relevant and timely information collected from social media during crises can be an invaluable resource for emergency management. However, extracting this information remains a challenging task, particularly when dealing with social media…

Information Retrieval · Computer Science 2022-04-22 Fedor Vitiugin , Carlos Castillo

With the development of the Internet, social media has become an important channel for posting disaster-related information. Analyzing attitudes hidden in these texts, known as sentiment analysis, is crucial for the government or relief…

Social and Information Networks · Computer Science 2020-05-29 Lingyu Meng , Zhijie Sasha Dong

Rapid crisis response requires real-time analysis of messages. After a disaster happens, volunteers attempt to classify tweets to determine needs, e.g., supplies, infrastructure damage, etc. Given labeled data, supervised machine learning…

Computation and Language · Computer Science 2016-03-30 Muhammad Imran , Prasenjit Mitra , Jaideep Srivastava

Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts. Social media has emerged as a low-latency data source to quickly understand…

Computer Vision and Pattern Recognition · Computer Science 2020-08-24 Ethan Weber , Nuria Marzo , Dim P. Papadopoulos , Aritro Biswas , Agata Lapedriza , Ferda Ofli , Muhammad Imran , Antonio Torralba

Microblogging platforms such as Twitter provide active communication channels during mass convergence and emergency events such as earthquakes, typhoons. During the sudden onset of a crisis situation, affected people post useful information…

Computation and Language · Computer Science 2016-06-01 Muhammad Imran , Prasenjit Mitra , Carlos Castillo

Various domain users are increasingly leveraging real-time social media data to gain rapid situational awareness. However, due to the high noise in the deluge of data, effectively determining semantically relevant information can be…

Social and Information Networks · Computer Science 2019-10-09 Luke S. Snyder , Yi-Shan Lin , Morteza Karimzadeh , Dan Goldwasser , David S. Ebert

Breaking news leads to situations of fast-paced reporting in social media, producing all kinds of updates related to news stories, albeit with the caveat that some of those early updates tend to be rumours, i.e., information with an…

Computation and Language · Computer Science 2016-10-25 Arkaitz Zubiaga , Maria Liakata , Rob Procter

Social media platforms such as Twitter, Facebook etc can be utilised as an important source of information during disaster events. This information can be used for disaster response and crisis management if processed accurately and quickly.…

Machine Learning · Computer Science 2021-07-02 Aman Priyanshu , Mudit Sinha , Shreyans Mehta

Twitter and, in general, social media has become an indispensable communication channel in times of emergency. The ubiquitousness of smartphone gadgets enables people to declare an emergency observed in real-time. As a result, more agencies…

Computation and Language · Computer Science 2021-04-20 Nickil Maveli

"Social sensing" is a form of crowd-sourcing that involves systematic analysis of digital communications to detect real-world events. Here we consider the use of social sensing for observing natural hazards. In particular, we present a case…

Human-Computer Interaction · Computer Science 2018-07-04 Rudy Arthur , Chris A. Boulton , Humphrey Shotton , Hywel T. P. Williams