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相关论文: A multi-modal approach towards mining social media…

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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

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 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 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

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

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

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

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

This paper presents our research on leveraging social media Big Data and AI to support hurricane disaster emergency response. The current practice of hurricane emergency response for rescue highly relies on emergency call centres. The more…

人工智能 · 计算机科学 2021-06-15 Jingwei Huang , Wael Khallouli , Ghaith Rabadi , Mamadou Seck

Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both…

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

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

Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts. Social media has emerged as a low-latency data source to quickly understand…

计算机视觉与模式识别 · 计算机科学 2020-08-24 Ethan Weber , Nuria Marzo , Dim P. Papadopoulos , Aritro Biswas , Agata Lapedriza , Ferda Ofli , Muhammad Imran , Antonio Torralba

Social networks can serve as a valuable communication channel for calls for help, offering assistance, and coordinating rescue activities in disaster. Social networks such as Twitter allow users to continuously update relevant information,…

计算与语言 · 计算机科学 2020-08-25 Long Nguyen , Zhou Yang , Jia Li , Guofeng Cao , Fang Jin

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

Timely and reliable sensing of infrastructure conditions is critical in disaster management for planning effective infrastructure restorations. Social media, a near real-time information source, has been widely used in disasters for forming…

社会与信息网络 · 计算机科学 2021-03-02 Yudi Chen , Angel Umana , Chaowei Yang , Wenying JI

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

The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to coarsely distributed sensors or sensor failures. At the same time, a plethora of information is buried in an abundance of images of…

计算机视觉与模式识别 · 计算机科学 2020-11-12 Björn Barz , Kai Schröter , Ann-Christin Kra , Joachim Denzler

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

Massive and diverse web data are increasingly vital for government disaster response, as demonstrated by the 2022 floods in New South Wales (NSW), Australia. This study examines how X (formerly Twitter) and public inquiry submissions…

计算与语言 · 计算机科学 2025-05-26 Xian Gong , Paul X. McCarthy , Lin Tian , Marian-Andrei Rizoiu
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