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Online social microblogging platforms including Twitter are increasingly used for aiding relief operations during disaster events. During most of the calamities that can be natural disasters or even armed attacks, non-governmental…

Information Retrieval · Computer Science 2018-10-30 Bhaskar Gautam , Annappa Basava

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

Social media has become an essential channel for posting disaster-related information, which provide governments and relief agencies real-time data for better disaster management. However, research in this field has not received sufficient…

Social and Information Networks · Computer Science 2021-07-13 Zhijie Sasha Dong , Lingyu Meng , Lauren Christenson , Lawrence Fulton

Social media such as tweets are emerging as platforms contributing to situational awareness during disasters. Information shared on Twitter by both affected population (e.g., requesting assistance, warning) and those outside the impact zone…

Information Retrieval · Computer Science 2017-05-08 Hien To , Sumeet Agrawal , Seon Ho Kim , Cyrus Shahabi

The first objective towards the effective use of microblogging services such as Twitter for situational awareness during the emerging disasters is discovery of the disaster-related postings. Given the wide range of possible disasters, using…

Computation and Language · Computer Science 2016-10-13 Shanshan Zhang , Slobodan Vucetic

Social networking services have became an important communication channel in time of emergency. The aim of this study is to create a machine learning language model that is able to investigate if a person or area was in danger or not. The…

Computation and Language · Computer Science 2022-02-03 Anh Duc Le

The role of social media, in particular microblogging platforms such as Twitter, as a conduit for actionable and tactical information during disasters is increasingly acknowledged. However, time-critical analysis of big crisis data on…

Computation and Language · Computer Science 2016-08-16 Dat Tien Nguyen , Kamela Ali Al Mannai , Shafiq Joty , Hassan Sajjad , Muhammad Imran , Prasenjit Mitra

People increasingly use social media to report emergencies, seek help or share information during disasters, which makes social networks an important tool for disaster management. To meet these time-critical needs, we present a weakly…

Computation and Language · Computer Science 2020-10-06 Wenlin Yao , Cheng Zhang , Shiva Saravanan , Ruihong Huang , Ali Mostafavi

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

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

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

In times of crisis, identifying the essential needs is a crucial step to providing appropriate resources and services to affected entities. Social media platforms such as Twitter contain vast amount of information about the general public's…

Computation and Language · Computer Science 2020-12-21 M. Janina Sarol , Ly Dinh , Rezvaneh Rezapour , Chieh-Li Chin , Pingjing Yang , Jana Diesner

The importance of social media is again exposed in the recent tragedy of the 2023 Turkey and Syria earthquake. Many victims who were trapped under the rubble called for help by posting messages in Twitter. We present an interactive tool to…

Social and Information Networks · Computer Science 2023-02-28 Cagri Toraman , Izzet Emre Kucukkaya , Oguzhan Ozcelik , Umitcan Sahin

Social media has quickly grown into an essential tool for people to communicate and express their needs during crisis events. Prior work in analyzing social media data for crisis management has focused primarily on automatically identifying…

Social and Information Networks · Computer Science 2020-07-24 Swati Padhee , Tanay Kumar Saha , Joel Tetreault , Alejandro Jaimes

Over the past decade humans have experienced exponential growth in the use of online resources, in particular social media and microblogging websites such as Facebook, Twitter, YouTube and also mobile applications such as WhatsApp, Line,…

Information Retrieval · Computer Science 2015-09-09 Rishabh Soni , K. James Mathai

During a disaster event, two types of information that are especially useful for coordinating relief operations are needs and availabilities of resources (e.g., food, water, medicines) in the affected region. Information posted on…

Social and Information Networks · Computer Science 2020-07-21 Ritam Dutt , Moumita Basu , Kripabandhu Ghosh , Saptarshi Ghosh

Tweet clustering for event detection is a powerful modern method to automate the real-time detection of events. In this work we present a new tweet clustering approach, using a probabilistic approach to incorporate temporal information. By…

Social and Information Networks · Computer Science 2018-11-14 Peter Mathews , Caitlin Gray , Lewis Mitchell , Giang T. Nguyen , Nigel G. Bean

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

Disaster Management is one of the most promising research areas because of its significant economic, environmental and social repercussions. This research focuses on analyzing different types of data (pre and post satellite images and…

Machine Learning · Computer Science 2023-11-17 Sukeerthi Mandyam , Shanmuga Priya MG , Shalini Suresh , Kavitha Srinivasan

Twitter and other social media platforms have become vital sources of real time information during disasters and public safety emergencies. Automatically classifying disaster related tweets can help emergency services respond faster and…

Computation and Language · Computer Science 2026-03-16 Sharif Noor Zisad , N. M. Istiak Chowdhury , Ragib Hasan
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