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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…

Social and Information Networks · Computer Science 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…

Human-Computer Interaction · Computer Science 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…

Computer Vision and Pattern Recognition · Computer Science 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…

Information Retrieval · Computer Science 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…

Social and Information Networks · Computer Science 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…

Machine Learning · Computer Science 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…

Information Retrieval · Computer Science 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…

Information Retrieval · Computer Science 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…

Social and Information Networks · Computer Science 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…

Computers and Society · Computer Science 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…

Applications · Statistics 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.…

Machine Learning · Computer Science 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…

Social and Information Networks · Computer Science 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…

Social and Information Networks · Computer Science 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…

Computers and Society · Computer Science 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…

Social and Information Networks · Computer Science 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…

Social and Information Networks · Computer Science 2019-01-23 Chittayong Surakitbanharn , Calvin Yau , Guizhen Wang , Aniesh Chawla , Yinuo Pan , Zhaoya Sun , Sam Yellin , David Ebert , Yung-Hsiang Lu , George K. Thiruvathukal

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…

Computation and Language · Computer Science 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…

Social and Information Networks · Computer Science 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…

Computation and Language · Computer Science 2024-08-02 Hakan T. Otal , M. Abdullah Canbaz