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相关论文: Geolocating social media posts for emergency mappi…

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Data on human spatial distribution and movement is essential for understanding and analyzing social systems. However existing sources for this data are lacking in various ways; difficult to access, biased, have poor geographical or temporal…

社会与信息网络 · 计算机科学 2016-06-22 Mark Dredze , Manuel García-Herranz , Alex Rutherford , Gideon Mann

The first responder community has traditionally relied on calls from the public, officially-provided geographic information and maps for coordinating actions on the ground. The ubiquity of social media platforms created an opportunity for…

人机交互 · 计算机科学 2019-10-15 Morteza Karimzadeh , Luke S. Snyder , David S. Ebert

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…

计算机视觉与模式识别 · 计算机科学 2022-06-09 Gaurav Chachra , Qingkai Kong , Jim Huang , Srujay Korlakunta , Jennifer Grannen , Alexander Robson , Richard Allen

Social media platforms are now a key source of information for a large segment of the public. As such, these platforms have a great potential as a means to provide real-time information to emergency management agencies. Moreover, during an…

信息检索 · 计算机科学 2016-10-14 Richard McCreadie , Craig Macdonald , Iadh Ounis

Modern society habitually uses online social media services to publicly share observations, thoughts, opinions, and beliefs at any time and from any location. These geotagged social media posts may provide aggregate insights into people's…

社会与信息网络 · 计算机科学 2014-11-25 Derek Doran , Swapna Gokhale , Aldo Dagnino

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…

机器学习 · 计算机科学 2023-11-17 Sukeerthi Mandyam , Shanmuga Priya MG , Shalini Suresh , Kavitha Srinivasan

The local event detection is to use posting messages with geotags on social networks to reveal the related ongoing events and their locations. Recent studies have demonstrated that the geo-tagged tweet stream serves as an unprecedentedly…

信息检索 · 计算机科学 2020-04-07 Sibo Zhang , Yuan Cheng , Deyuan Ke

Social media platforms such as Twitter and Facebook have become deeply embedded in our everyday life, offering a dynamic stream of localized news and personal experiences. The ubiquity of these platforms position them as valuable resources…

信息检索 · 计算机科学 2025-08-07 Wenchuan Mu , Menglin Li , Kwan Hui Lim

Determining the geographic focus of digital media is an essential first step for modern geographic information retrieval. However, publicly-visible location annotations are remarkably sparse in online data. In this work, we demonstrate a…

社会与信息网络 · 计算机科学 2014-06-11 Ryan Compton , Matthew S. Keegan , Jiejun Xu

The ability to track large-scale events as they happen is essential for understanding them and coordinating reactions in an appropriate and timely manner. This is true, for example, in emergency management and decision-making support, where…

计算机与社会 · 计算机科学 2022-06-28 Carlo Bono , Barbara Pernici

Event detection in a multimodal Twitter dataset is considered. We treat the hashtags in the dataset as instances with two modes: text and geolocation features. The text feature consists of a bag-of-words representation. The geolocation…

应用统计 · 统计学 2016-05-17 Yasin Yilmaz , Alfred Hero

Twitter is recently being used during crises to communicate with officials and provide rescue and relief operation in real time. The geographical location information of the event, as well as users, are vitally important in such scenarios.…

机器学习 · 计算机科学 2019-01-25 Abhinav Kumar , Jyoti Prakash Singh

During a disaster event, two types of information that are especially useful for coordinating relief operations are needs and availabilities of resources (e.g., food, water, medicines) in the affected region. Information posted on…

社会与信息网络 · 计算机科学 2020-07-21 Ritam Dutt , Moumita Basu , Kripabandhu Ghosh , Saptarshi Ghosh

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

Social media messages posted by people during natural disasters often contain important location descriptions, such as the locations of victims. Recent research has shown that many of these location descriptions go beyond simple place…

计算机与社会 · 计算机科学 2023-10-17 Yingjie Hu , Gengchen Mai , Chris Cundy , Kristy Choi , Ni Lao , Wei Liu , Gaurish Lakhanpal , Ryan Zhenqi Zhou , Kenneth Joseph

Floods of research and practical applications employ social media data for a wide range of public applications, including environmental monitoring, water resource managing, disaster and emergency response.Hydroinformatics can benefit from…

社会与信息网络 · 计算机科学 2019-05-09 Yufeng Yu , Yuelong Zhu , Dingsheng Wan , Qun Zhao , Kai Shu , Huan Liu

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…

Research on automatically geolocating social media users has conventionally been based on the text content of posts from a given user or the social network of the user, with very little crossover between the two, and no bench-marking of the…

计算与语言 · 计算机科学 2015-06-17 Afshin Rahimi , Duy Vu , Trevor Cohn , Timothy Baldwin

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

Emergencies and critical incidents often unfold rapidly, necessitating a swift and effective response. In this research, we introduce a novel approach to identify and classify emergency situations from social media posts and direct…

计算与语言 · 计算机科学 2024-08-02 Hakan T. Otal , M. Abdullah Canbaz