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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…

Social and Information Networks · Computer Science 2022-03-03 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

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

Natural hazards are becoming increasingly expensive as climate change and development are exposing communities to greater risks. Preparation and recovery are critical for climate change resilience, and social media are being used more and…

Social and Information Networks · Computer Science 2019-03-06 Meredith T. Niles , Benjamin F. Emery , Andrew J. Reagan , Peter Sheridan Dodds , Christopher M. Danforth

Twitter updates now represent an enormous stream of information originating from a wide variety of formal and informal sources, much of which is relevant to real-world events. In this paper we adapt existing bio-surveillance algorithms to…

Social and Information Networks · Computer Science 2015-04-10 Nicholas Thapen , Donal Simmie , Chris Hankin

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

Disaster prediction is one of the most critical tasks towards disaster surveillance and preparedness. Existing technologies employ different machine learning approaches to predict incoming disasters from historical environmental data.…

Computation and Language · Computer Science 2020-08-12 Hamada M. Zahera , Mohamed Ahmed Sherif , Axel Ngonga

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,…

Computation and Language · Computer Science 2024-05-13 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

Social media plays increasingly significant roles in disaster response, but effectively leveraging social media for rescue is challenging. This study analyzed rescue requests on Twitter during the 2017 Hurricane Harvey, in which many…

Social and Information Networks · Computer Science 2021-11-16 Lei Zou , Danqing Liao , Nina S. N. Lam , Michelle Meyer , Nasir G. Gharaibeh , Heng Cai , Bing Zhou , Dongying Li

Earthquakes have a deep impact on wide areas, and emergency rescue operations may benefit from social media information about the scope and extent of the disaster. Therefore, this work presents a text miningbased approach to collect and…

Computation and Language · Computer Science 2022-12-14 Zhe Zheng , Hong-Zheng Shi , Yu-Cheng Zhou , Xin-Zheng Lu , Jia-Rui Lin

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

In recent years, social media has been widely explored as a potential source of communication and information in disasters and emergency situations. Several interesting works and case studies of disaster analytics exploring different…

Computation and Language · Computer Science 2023-01-03 Wisal Mukhtiar , Waliiya Rizwan , Aneela Habib , Yasir Saleem Afridi , Laiq Hasan , Kashif Ahmad

Disaster response agencies have started to incorporate social media as a source of fast-breaking information to understand the needs of people affected by the many crises that occur around the world. These agencies look for tweets from…

Computation and Language · Computer Science 2022-04-06 Fred Morstatter , Nichola Lubold , Heather Pon-Barry , Jürgen Pfeffer , Huan Liu

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

Tweet hashtags have the potential to improve the search for information during disaster events. However, there is a large number of disaster-related tweets that do not have any user-provided hashtags. Moreover, only a small number of tweets…

Information Retrieval · Computer Science 2020-01-07 Jishnu Ray Chowdhury , Cornelia Caragea , Doina Caragea

The integration of social media and artificial intelligence (AI) into disaster management, particularly for earthquake response, represents a profound evolution in emergency management practices. In the digital age, real-time information…

Computers and Society · Computer Science 2025-01-28 Kalin Kopanov , Velizar Varbanov , Tatiana Atanasova

Twitter is often the most up-to-date source for finding and tracking breaking news stories. Therefore, there is considerable interest in developing filters for tweet streams in order to track and summarize stories. This is a non-trivial…

Information Retrieval · Computer Science 2014-12-01 Igor Brigadir , Derek Greene , Pádraig Cunningham

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

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 or man-made disasters, humanitarian response organizations look for useful information to support their decision-making processes. Social media platforms such as Twitter have been considered as a vital source of useful…

Computation and Language · Computer Science 2016-10-06 Dat Tien Nguyen , Shafiq Joty , Muhammad Imran , Hassan Sajjad , Prasenjit Mitra

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,…

Computation and Language · Computer Science 2023-05-22 Piyush Kumar Garg , Roshni Chakraborty , Srishti Gupta , Sourav Kumar Dandapat