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A timely and effective response is crucial to minimize damage and save lives during natural disasters like earthquakes. Microblogging platforms, particularly Twitter, have emerged as valuable real-time information sources for such events.…

Social and Information Networks · Computer Science 2025-03-24 Deep Patel , Panthadeep Bhattacharjee , Amit Reza , Priodyuti Pradhan

Social media aids disaster response but suffers from noise, hindering accurate impact assessment and decision making for resilient cities, which few studies considered. To address the problem, this study proposes the first domain-specific…

Computation and Language · Computer Science 2024-06-03 Jin Han , Zhe Zheng , Xin-Zheng Lu , Ke-Yin Chen , Jia-Rui Lin

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

Emotion mining has become a crucial tool for understanding human emotions during disasters, leveraging the extensive data generated on social media platforms. This paper aims to summarize existing research on emotion mining within disaster…

Computation and Language · Computer Science 2024-09-04 Soheil Shapouri , Saber Soleymani , Saed Rezayi

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 have been widely exploited to detect and gather relevant information about opinions and events. However, the relevance of the information is very subjective and rather depends on the application and the end-users. In this…

Computer Vision and Pattern Recognition · Computer Science 2019-10-11 Syed Zohaib , Kashif Ahmad , Nicola Conci , Ala Al-Fuqaha

Social media are more than just a one-way communication channel. Data can be collected, analyzed and contextualized to support disaster risk management. However, disaster management agencies typically use such added-value information to…

Social and Information Networks · Computer Science 2018-02-09 Markus Enenkel , Sofia Martinez Saenz , Denyse S. Dookie , Lisette Braman , Nick Obradovich , Yury Kryvasheyeu

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

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…

Information Retrieval · Computer Science 2017-07-20 Prannay Khosla , Moumita Basu , Kripabandhu Ghosh , Saptarshi Ghosh

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

Social media such as Facebook and Twitter have proven to be a useful resource to understand public opinion towards real world events. In this paper, we investigate over 1.5 million Twitter messages (tweets) for the period 9th March 2011 to…

Social and Information Networks · Computer Science 2012-10-04 Son Doan , Bao-Khanh Ho Vo , Nigel Collier

The increasing popularity of social networks and users' tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content, have opened new opportunities and challenges in sentiment analysis. While…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 Syed Zohaib Hassan , Kashif Ahmad , Steven Hicks , Paal Halvorsen , Ala Al-Fuqaha , Nicola Conci , Michael Riegler

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

Social media plays a major role during and after major natural disasters (e.g., hurricanes, large-scale fires, etc.), as people ``on the ground'' post useful information on what is actually happening. Given the large amounts of posts, a…

Social and Information Networks · Computer Science 2020-01-01 Chidubem Arachie , Manas Gaur , Sam Anzaroot , William Groves , Ke Zhang , Alejandro Jaimes

After significant earthquakes, we can see images posted on social media platforms by individuals and media agencies owing to the mass usage of smartphones these days. These images can be utilized to provide information about the shaking…

Computer Vision and Pattern Recognition · Computer Science 2022-06-09 Gaurav Chachra , Qingkai Kong , Jim Huang , Srujay Korlakunta , Jennifer Grannen , Alexander Robson , Richard Allen

Extreme weather events driven by climate change, such as wildfires, floods, and heatwaves, prompt significant public reactions on social media platforms. Analyzing the sentiment expressed in these online discussions can offer valuable…

Social and Information Networks · Computer Science 2025-10-14 Pouya Shaeri , Yasaman Mohammadpour , Alimohammad Beigi , Ariane Middel

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…

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

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

Rapid, fine-grained disaster damage assessment is essential for effective emergency response, yet remains challenging due to limited ground sensors and delays in official reporting. Social media provides a rich, real-time source of…

Computation and Language · Computer Science 2025-06-05 Zihui Ma , Lingyao Li , Juan Li , Wenyue Hua , Jingxiao Liu , Qingyuan Feng , Yuki Miura
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