中文
相关论文

相关论文: Risk-Prone and Risk-Averse Behavior in Natural Eme…

200 篇论文

Many people use social media to seek information during disasters while lacking access to traditional information sources. In this study, we analyze Twitter data to understand information spreading activities of social media users during…

社会与信息网络 · 计算机科学 2017-06-12 Arif Mohaimin Sadri , Samiul Hasan , Satish V. Ukkusuri , Manuel Cebrian

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

Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow, and a mean to derive early-warning…

社会与信息网络 · 计算机科学 2015-06-18 Yury Kryvasheyeu , Haohui Chen , Esteban Moro , Pascal Van Hentenryck , Manuel Cebrian

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

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

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

Countless disasters have resulted from climate change, causing severe damage to infrastructure and the economy. These disasters have significant societal impacts, necessitating mental health services for the millions affected. To prepare…

信息检索 · 计算机科学 2024-08-22 Thomas Hoang , Quynh Anh Nguyen , Long Nguyen

Online social networks allow different agencies and the public to interact and share the underlying risks and protective actions during major disasters. This study revealed such crisis communication patterns during hurricane Laura…

社会与信息网络 · 计算机科学 2024-04-01 Khondhaker Al Momin , H M Imran Kays , Arif Mohaimin Sadri

New York City (NYC) topped the global chart for the worst air pollution in June 2023, owing to the wildfire smoke drifting in from Canada. This unprecedented situation caused significant travel disruptions and shifts in traditional activity…

计算机与社会 · 计算机科学 2024-02-06 Khondhaker Al Momin , Md Sami Hasnine , Arif Mohaimin Sadri

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…

社会与信息网络 · 计算机科学 2019-03-06 Meredith T. Niles , Benjamin F. Emery , Andrew J. Reagan , Peter Sheridan Dodds , Christopher M. Danforth

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 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

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

This paper analyses social media data in multiple disaster-related collections of floods and heat waves in the UK. The proposed method uses machine learning classifiers based on deep bidirectional neural networks trained on benchmark…

社会与信息网络 · 计算机科学 2022-03-17 Victor Ponce-López , Catalina Spataru

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…

社会与信息网络 · 计算机科学 2021-11-16 Lei Zou , Danqing Liao , Nina S. N. Lam , Michelle Meyer , Nasir G. Gharaibeh , Heng Cai , Bing Zhou , Dongying Li

Social media posts contain an abundant amount of information about public opinion on major events, especially natural disasters such as hurricanes. Posts related to an event, are usually published by the users who live near the place of the…

社会与信息网络 · 计算机科学 2023-08-14 Songhui Yue , Jyothsna Kondari , Aibek Musaev , Randy K. Smith , Songqing Yue

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

Natural disasters (e.g., hurricanes) affect millions of people each year, causing widespread destruction in their wake. People have recently taken to social media websites (e.g., Twitter) to share their sentiments and feelings with the…

计算与语言 · 计算机科学 2020-04-30 Shrey Desai , Cornelia Caragea , Junyi Jessy Li

Recent studies suggest social media activity can function as a proxy for measures of state-level public health, detectable through natural language processing. We present results of our efforts to apply this approach to estimate…

Large-scale hazards affect societies not only through direct physical impacts but also through emotions that spread across populations. Fueled by social amplification and networked communication, collective emotions often diverge markedly…

物理与社会 · 物理学 2026-04-01 Xiaolei Chu , Guanren Zhou , Marco Broccardo , Didier Sornette , Khalid M. Mosalam , Ziqi Wang
‹ 上一页 1 2 3 10 下一页 ›