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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

The huge popularity of social media platforms like Twitter attracts a large fraction of users to share real-time information and short situational messages during disasters. A summary of these tweets is required by the government…

社会与信息网络 · 计算机科学 2022-11-22 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

In recent years, social media has emerged as a primary channel for users to promptly share feedback and issues during disasters and emergencies, playing a key role in crisis management. While significant progress has been made in collecting…

计算与语言 · 计算机科学 2025-04-18 Loris Belcastro , Cristian Cosentino , Fabrizio Marozzo , Merve Gündüz-Cüre , Sule Öztürk-Birim

The use of microblogging platforms such as Twitter during crises has become widespread. More importantly, information disseminated by affected people contains useful information like reports of missing and found people, requests for urgent…

社会与信息网络 · 计算机科学 2016-10-06 Koustav Rudra , Siddhartha Banerjee , Niloy Ganguly , Pawan Goyal , Muhammad Imran , Prasenjit Mitra

Online social media platforms, such as Twitter, provide valuable information during disaster events. Existing tweet disaster summarization approaches provide a summary of these events to aid government agencies, humanitarian organizations,…

计算与语言 · 计算机科学 2024-05-13 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

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…

计算机与社会 · 计算机科学 2026-05-05 Timothy Douglas , Roben Delos Reyes , Asanobu Kitamoto

The widespread use of microblogging platforms like X (formerly Twitter) during disasters provides real-time information to governments and response authorities. However, the data from these platforms is often noisy, requiring automated…

计算与语言 · 计算机科学 2024-12-17 Muhammad Imran , Abdul Wahab Ziaullah , Kai Chen , Ferda Ofli

Online social media platforms, such as Twitter, are one of the most valuable sources of information during disaster events. Therefore, humanitarian organizations, government agencies, and volunteers rely on a summary of this information,…

计算与语言 · 计算机科学 2023-05-22 Piyush Kumar Garg , Roshni Chakraborty , Srishti Gupta , Sourav Kumar Dandapat

The huge amount of information shared in Twitter during disaster events are utilized by government agencies and humanitarian organizations to ensure quick crisis response and provide situational updates. However, the huge number of tweets…

社会与信息网络 · 计算机科学 2022-03-03 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

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.…

社会与信息网络 · 计算机科学 2019-08-06 Md. Yasin Kabir , Sanjay Madria

Occurrences of catastrophes such as natural or man-made disasters trigger the spread of rumours over social media at a rapid pace. Presenting a trustworthy and summarized account of the unfolding event in near real-time to the consumers of…

Emergencies and critical incidents often unfold rapidly, necessitating a swift and effective response. In this research, we introduce a novel approach to identify and classify emergency situations from social media posts and direct…

计算与语言 · 计算机科学 2024-08-02 Hakan T. Otal , M. Abdullah Canbaz

This paper explores whether enhancing temporal reasoning capabilities in Large Language Models (LLMs) can improve the quality of timeline summarisation, the task of summarising long texts containing sequences of events, such as social media…

计算与语言 · 计算机科学 2025-07-21 Jiayu Song , Mahmud Elahi Akhter , Dana Atzil Slonim , Maria Liakata

Timeline summarization (TLS) involves creating summaries of long-running events using dated summaries from numerous news articles. However, limited data availability has significantly slowed down the development of timeline summarization.…

人工智能 · 计算机科学 2023-11-16 Qianren Mao , Jiazheng Wang , Zheng Wang , Xi Li , Bo Li , Jianxin Li

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

Automatic summarization of mass-emergency events plays a critical role in disaster management. The second edition of CrisisFACTS aims to advance disaster summarization based on multi-stream fact-finding with a focus on web sources such as…

计算与语言 · 计算机科学 2024-02-15 Philipp Seeberger , Korbinian Riedhammer

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…

计算与语言 · 计算机科学 2025-08-08 Kai Yin , Bo Li , Chengkai Liu , Ali Mostafavi , Xia Hu

Social media platforms provide active communication channels during mass convergence and emergency events such as disasters caused by natural hazards. As a result, first responders, decision makers, and the public can use this information…

社会与信息网络 · 计算机科学 2015-04-17 Muhammad Imran , Carlos Castillo , Fernando Diaz , Sarah Vieweg

Natural disasters often result in a surge of social media activity, including requests for assistance, offers of help, sentiments, and general updates. To enable humanitarian organizations to respond more efficiently, we propose a…

信息检索 · 计算机科学 2025-04-24 Ahmed El Fekih Zguir , Ferda Ofli , Muhammad Imran

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…

信息检索 · 计算机科学 2022-04-22 Fedor Vitiugin , Carlos Castillo
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