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The super-cyclonic storm "Amphan" hit Eastern India, specifically the state of West Bengal, Odisha and parts of Bangladesh in May 2020, and caused severe damage to the regions. In this study, we aim to understand the self-reported effects…

计算机与社会 · 计算机科学 2020-07-30 Soham Poddar , Mainack Mondal , Saptarshi Ghosh

People increasingly use microblogging platforms such as Twitter during natural disasters and emergencies. Research studies have revealed the usefulness of the data available on Twitter for several disaster response tasks. However, making…

社会与信息网络 · 计算机科学 2018-05-16 Firoj Alam , Ferda Ofli , Muhammad Imran , Michael Aupetit

In recent years, we have been faced with a series of natural disasters causing a tremendous amount of financial, environmental, and human losses. The unpredictable nature of natural disasters' behavior makes it hard to have a comprehensive…

社会与信息网络 · 计算机科学 2019-03-08 Amir Karami , Vishal Shah , Reza Vaezi , Amit Bansal

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…

社会与信息网络 · 计算机科学 2025-10-14 Pouya Shaeri , Yasaman Mohammadpour , Alimohammad Beigi , Ariane Middel

The public understanding of climate change plays a critical role in translating climate science into climate action. In the public discourse, climate impacts are often discussed in the context of extreme weather events. Here, we analyse 65…

Hurricane Sandy was one of the deadliest and costliest of hurricanes over the past few decades. Many states experienced significant power outage, however many people used social media to communicate while having limited or no access to…

社会与信息网络 · 计算机科学 2017-10-06 Arif Mohaimin Sadri , Samiul Hasan , Satish V. Ukkusuri , Manuel Cebrian

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…

社会与信息网络 · 计算机科学 2021-07-13 Zhijie Sasha Dong , Lingyu Meng , Lauren Christenson , Lawrence Fulton

Social media platforms such as Twitter (now known as X) have revolutionized how the public engage with important societal and political topics. Recently, climate change discussions on social media became a catalyst for political…

社会与信息网络 · 计算机科学 2023-12-05 Yashaswi Pupneja , Joseph Zou , Sacha Lévy , Shenyang Huang

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…

计算与语言 · 计算机科学 2016-06-01 Muhammad Imran , Prasenjit Mitra , Carlos Castillo

Could social media data aid in disaster response and damage assessment? Countries face both an increasing frequency and intensity of natural disasters due to climate change. And during such events, citizens are turning to social media…

社会与信息网络 · 计算机科学 2015-04-28 Yury Kryvasheyeu , Haohui Chen , Nick Obradovich , Esteban Moro , Pascal Van Hentenryck , James Fowler , Manuel Cebrian

The Philippines is a common ground to natural calamities like typhoons, floods, volcanic eruptions and earthquakes. With Twitter as one of the most used social media platform in the Philippines, a total of 39,867 preprocessed tweets were…

神经与进化计算 · 计算机科学 2019-08-07 Joseph Marvin Imperial , Jeyrome Orosco , Shiela Mae Mazo , Lany Maceda

During natural and man-made disasters, people use social media platforms such as Twitter to post textual and multime- dia content to report updates about injured or dead people, infrastructure damage, and missing or found people among other…

社会与信息网络 · 计算机科学 2018-05-03 Firoj Alam , Ferda Ofli , Muhammad Imran

The modern news cycle has been fundamentally reshaped by the rapid exchange of information online. As a result, media framing shifts dynamically as new information, political responses, and social reactions emerge. Understanding how these…

计算与语言 · 计算机科学 2026-04-17 Emily Lugos , Maurício Gruppi

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…

社会与信息网络 · 计算机科学 2018-02-09 Markus Enenkel , Sofia Martinez Saenz , Denyse S. Dookie , Lisette Braman , Nick Obradovich , Yury Kryvasheyeu

Risk communication in times of disasters is complex, involving rapid and diverse communication in social networks (i.e., public and/or private agencies; local residents) as well as limited mobilization capacity and operational constraints…

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 networks are widely used for information consumption and dissemination, especially during time-critical events such as natural disasters. Despite its significantly large volume, social media content is often too noisy for direct use…

计算与语言 · 计算机科学 2021-04-09 Firoj Alam , Umair Qazi , Muhammad Imran , Ferda Ofli

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…

计算与语言 · 计算机科学 2023-08-17 Tiberiu Sosea , Junyi Jessy Li , Cornelia Caragea

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…

社会与信息网络 · 计算机科学 2020-05-29 Lingyu Meng , Zhijie Sasha Dong

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.…

计算与语言 · 计算机科学 2020-08-12 Hamada M. Zahera , Mohamed Ahmed Sherif , Axel Ngonga
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