Filters








13,599 Hits in 6.5 sec

Processing Social Media Messages in Mass Emergency

Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
2018 Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18  
Information available on social media, particularly in the early hours of an event when few other sources are available, can be extremely valuable for emergency responders and decision makers, helping  ...  Millions of people use social media to share information during disasters and mass emergencies.  ...  Streaming APIs allow subscribers to continuously consume data from a real-time data feed (again data limits maybe imposed).  ... 
doi:10.1145/3184558.3186242 dblp:conf/www/000200V18 fatcat:qccrrnreaffhlptqc6vtkdhmki

Where Is the News Breaking? Towards a Location-Based Event Detection Framework for Journalists [chapter]

Bahareh Rahmanzadeh Heravi, Donn Morrison, Prashant Khare, Stephane Marchand-Maillet
2014 Lecture Notes in Computer Science  
In this position paper we outline the technological challenges in incorporating UCG into news reporting and describe our proposed framework for exploiting UGC from social media for location-based event  ...  Manual monitoring, filtering, verification and curation of UGC, however, is a time and effort consuming task, and our proposed framework takes a first step in addressing many of the issues surrounding  ...  Detecting breaking news from UGC requires real-time stream processing and analysis of popular social media sources. • Running stories -This requires ongoing analyses of previously breaking news events  ... 
doi:10.1007/978-3-319-04117-9_18 fatcat:lc7kasbfljegvanszvi4xccvf4

A Volunteered Geographic Information Framework to Enable Bottom-Up Disaster Management Platforms

Mohammad Poorazizi, Andrew Hunter, Stefan Steiniger
2015 ISPRS International Journal of Geo-Information  
By using location-aware devices such as smartphones to collect geographic information in the form of geo-tagged text, photos, or videos, and sharing this information through online social media, such as  ...  This framework consists of four components: (i) a VGI brokering module to provide a standard service interface to retrieve VGI from multiple resources based on spatial, temporal, and semantic parameters  ...  Such information should include (real-time) citizen-generated data delivered by Web 2.0 services (i.e., social networking websites) from people who are reporting from/about difficult situations, since  ... 
doi:10.3390/ijgi4031389 fatcat:dmrhkqttvfaofevzj4mepf2sm4

Research on event perception based on geo-tagged social media data

Ruoxin Zhu, Chenyu Zuo, Diao Lin
2019 Proceedings of the ICA  
However, event study based on social media is still in its infancy. This paper provides an overview of event study based on geo-tagged social media data.  ...  When a notable event occurs, social media serves a popular platform for citizens to share event-related information.  ...  Based on the spatial concentration analysis of temporal keywords, local event information could be detected in real-time from Twitter stream.  ... 
doi:10.5194/ica-proc-2-157-2019 fatcat:i2vo6okebvfgjl5xuiid235a3m

From Tweets to Events: Exploring a Scalable Solution for Twitter Streams [article]

Shamanth Kumar, Huan Liu, Sameep Mehta, L. Venkata Subramaniam
2014 arXiv   pre-print
In this paper, we investigate event detection in the context of real-time Twitter streams as observed in real-world crises.  ...  Through experiments on large Twitter datasets, we demonstrate that the proposed framework is able to detect events in near real-time and can scale to large and noisy Twitter streams.  ...  Acknowledgments This work was sponsored, in part, by the Office of Naval Research grant N000141410095.  ... 
arXiv:1405.1392v1 fatcat:iym7tlkknbdr3lk5korvpls4ry

Processing Social Media Messages in Mass Emergency: A Survey [article]

Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
2015 arXiv   pre-print
In particular, many social media messages communicated during emergencies convey timely, actionable information.  ...  Social media platforms provide active communication channels during mass convergence and emergency events such as disasters caused by natural hazards.  ...  They use four types of features, which are temporal, social, topical, and Twitter-specific, to identify real events using the Twit- ter stream in real-time.  ... 
arXiv:1407.7071v3 fatcat:e7mcvae5freddaus7ndolygeti

Event Tracker

Charles Thomas, Richard McCreadie, Iadh Ounis
2019 Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR'19  
On the other hand, Event Tracker is a new solution that aims to provide a unified view of an event, integrating information from emergency response officers, the public (via social media) and also volunteers  ...  In particular, Event Tracker provides a series of novel functionalities to realise this unified view of the event, namely: real-time identification of critical information, automatic grouping of content  ...  INTRODUCTION A 68% rise in the use of social networking sites since 2005 [15] has introduced an abundance of real-time information online.  ... 
doi:10.1145/3331184.3331406 dblp:conf/sigir/ThomasMO19 fatcat:f26j7palencszghzmryb4k7ufe

The ATHENA Project [chapter]

Simon Andrews, Simeon Yates, Babak Akhgar, David Fortune
2013 Strategic Intelligence Management  
The ATHENA project brings together major user communities with world leading experts in crisis management and experts and technology developers of mobile and social media use and development.  ...  The goal of the ATHENA project is to deliver outputs that will enable and encourage users of new media to contribute to the security of citizens in crisis situations and for search and rescue actions.  ...  In the information processing centre, feeds from the Crisis Mobile "app" and information scanned from social media will be analysed and aggregated in various ways to provide relevant, real-time, information  ... 
doi:10.1016/b978-0-12-407191-9.00014-4 fatcat:55hhcbcinvfwjjvcfc4vgbifpm

Processing Social Media Messages in Mass Emergency

Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
2015 ACM Computing Surveys  
In particular, many social media messages communicated during emergencies convey timely, actionable information.  ...  Research thus far has, to a large extent, produced methods to extract situational awareness information from social media.  ...  They use four types of features, which are temporal, social, topical, and Twitter-specific, to identify real events using the Twitter stream in real time.  ... 
doi:10.1145/2771588 fatcat:fb6bypzs6zdqznxv4maltpxvqq

Online Social Networks Event Detection: A Survey [chapter]

Mário Cordeiro, João Gama
2016 Lecture Notes in Computer Science  
This specific problem of event detection becomes even more serious due to the real-time nature of online social networks.  ...  New or unforeseen events need to be identified and tracked on a real-time basis providing accurate results as quick as possible.  ...  Typically new event detection involves the continuous monitoring of Media feeds for discovering events in near real time, hereupon scenarios where the detection of real-world events like breaking news,  ... 
doi:10.1007/978-3-319-41706-6_1 fatcat:zdoso55jzjbypkye7w3uozcjce

Veracity and Velocity of Social Media Content during Breaking News

Stefanie Wiegand, Stuart E. Middleton
2016 Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion  
Social media sources are becoming increasingly important in journalism. Under breaking news deadlines semi-automated support for identification and verification of content is critical.  ...  real-time eyewitness content if applied with some additional text filters.  ...  Dashboard applications such as TweetDeck 1 and Storyful 2 make it easier for users to manage real-time streams of social media content with the hope of finding eyewitness and newsworthy content soon after  ... 
doi:10.1145/2872518.2890095 dblp:conf/www/WiegandM16 fatcat:rfijuy3rijeznhnel7fe43ry2u

A Hybrid Machine Learning Pipeline for Automated Mapping of Events and Locations from Social Media in Disasters

Chao Fan, Fangsheng Wu, Ali Mostafavi
2020 IEEE Access  
The results show the capability of the proposed hybrid pipeline for automated mapping of events across time and space from social media posts with considerable accuracy.  ...  Hence, the detection of location and finer-grained event information could significantly improve the utility, credibility, and interpretability of social media data for situation awareness.  ...  ACKNOWLEDGMENT Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation  ... 
doi:10.1109/access.2020.2965550 fatcat:4lwgebyimjbyhguia43fisikqe

It Doesn't Break Just on Twitter. Characterizing Facebook content During Real World Events [article]

Prateek Dewan, Ponnurangam Kumaraguru
2014 arXiv   pre-print
, and credibility during real world events.  ...  We believe that social media platforms like Facebook also play a vital role in disseminating information on the Internet during real world events.  ...  However, Facebook does not provide streaming capability for collection of relevant data in real time.  ... 
arXiv:1405.4820v1 fatcat:46giddiaejhp3ahhgotv3tbgkq

A Survey of Techniques for Event Detection in Twitter

Farzindar Atefeh, Wael Khreich
2013 Computational intelligence  
In contrast to conventional media, event detection from Twitter streams poses new challenges.  ...  This article provides a survey of techniques for event detection from Twitter streams. These techniques aim at finding real-world occurrences that unfold over space and time.  ...  RED focuses on discovering previously unidentified events from accumulated historical collections , while NED involves the discovery of new events from live streams in (near) real time ).  ... 
doi:10.1111/coin.12017 fatcat:wr3wcvxmavbarityeu2szfcuw4

Witness Identification in Twitter

Rui Fang, Armineh Nourbakhsh, XIAOMO LIU, Sameena Shah, Quanzhi Li
2016 Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media  
However, the amount of noise on social media also makes it likely that witness accounts get buried too deep in the noise and are never discovered.  ...  We attempt to create a generalizable system that not only detects witness reports for unseen events, but also on true out-of-sample "real time streaming set" that may or may not have witness accounts.  ...  We apply our witness identification model on streaming real-time Twitter data. For the time period that we tested in, the number of real-time tweets were 7,517,654 tweets.  ... 
doi:10.18653/v1/w16-6210 dblp:conf/acl-socialnlp/FangNLSL16 fatcat:5vr36g5xmjedfdd6ifv2j3wbfq
« Previous Showing results 1 — 15 out of 13,599 results