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User-driven geolocated event detection in social media

Anes Bendimerad, Marc Plantevit, Celine Robardet, Sihem Amer-Yahia
2019 IEEE Transactions on Knowledge and Data Engineering  
Event detection is one of the most important research topics in social media analysis.  ...  In this paper, we tackle the problem of local event detection from social media data.  ...  Detecting events in social media has raised great interest in the last decade.  ... 
doi:10.1109/tkde.2019.2931340 fatcat:le5smobgz5abfg777yuxg37qs4

Geosocial gauge: a system prototype for knowledge discovery from social media

Arie Croitoru, Andrew Crooks, Jacek Radzikowski, Anthony Stefanidis
2013 International Journal of Geographical Information Science  
The remarkable success of online social media sites marks a shift in the way people connect and share information.  ...  Furthermore, the wide spectrum of social media data and service types provides a multitude of perspectives on real-world activities and happenings, thus opening new frontiers in geosocial knowledge discovery  ...  Architecture of a system to harvest and ingest social media feeds that is driven by Twitter.  ... 
doi:10.1080/13658816.2013.825724 fatcat:w56o6glxrfabtghclf62mkjnrm

#Earthquake: Twitter as a Distributed Sensor System

Andrew Crooks, Arie Croitoru, Anthony Stefanidis, Jacek Radzikowski
2012 Transactions on GIS  
Geological Survey we assess the potential of the use of harvested social media content for event monitoring.  ...  Social media feeds are rapidly emerging as a novel avenue for the contribution and dissemination of information that is often geographic.  ...  Social media feeds have been used quite extensively for event detection from Web and Social Media (WSM) information (Brownstein et al. 2009 , Sakaki et al. 2010 , Okasaki and Matsuo 2012 .  ... 
doi:10.1111/j.1467-9671.2012.01359.x fatcat:jnf656krvvdr3m3kgzsycx4usy

Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer

Michael Kaufmann, Patrick Siegfried, Lukas Huck, Jürg Stettler
2019 ISPRS International Journal of Geo-Information  
Fourth, the proposed user segmentation revealed two clusters based on users' social media activity level.  ...  We contribute a system design and a generalized formal methodology to segment tourists based on their geolocated blogging behaviour according to their interests in identified tourist hotspots.  ...  This entails the detection of the main tourist attractions from geolocated social media data and implies a further development in methodology to find the features of geolocated social media users who form  ... 
doi:10.3390/ijgi8110493 fatcat:djtz22rtmrhrbazxoe2k66dsta

Demarcating new boundaries: mapping virtual polycentric communities through social media content

Anthony Stefanidis, Amy Cotnoir, Arie Croitoru, Andrew Crooks, Matthew Rice, Jacek Radzikowski
2013 Cartography and Geographic Information Science  
An alternative option would be to normalize by the number of social media users per country, in order to have a better understanding of the impact of a specific event on the corresponding user community  ...  We assert that the geospatial content harvested from social media feeds is important in analyzing social and political events, and in fact, can provide evidence of geographically dispersed communities  ... 
doi:10.1080/15230406.2013.776211 fatcat:3xefkzt4rfc4zfayxtwlahnyqu

Floods impact dynamics quantified from big data sources [article]

David Pastor-Escuredo, Yolanda Torres, Maria Martinez, Pedro J. Zufiria
2018 arXiv   pre-print
Proxies based on social media and data aggregates would streamline this process by providing evidences and narrowing requirements.  ...  We propose a framework that integrates environmental data, social media, remote sensing, digital topography and mobile phone data to understand different types of floods and how data can provide insights  ...  As shown in Figure 3 , the iteratively running detection and warning module, implemented with open social media data and data aggregates to be available in real-time, would trigger other modules.  ... 
arXiv:1804.09129v1 fatcat:yupfnwwcnbg4pmmcwgidpmcyui

Knowledge Discovery from Community-Contributed Multimedia

Tao Mei, Winston H. Hsu, Jiebo Luo
2010 IEEE Multimedia  
The rich context of social media, such as user-provided tags and geolocations, creates rich sets of georeferenced photos.  ...  Social media is augmented with rich context, such as user-provided tags, comments, geolocations, time, device metadata, and so on.  ... 
doi:10.1109/mmul.2010.82 fatcat:oux7r2jnhbfotaivhfsgwybscm

Zika in Twitter: Temporal Variations of Locations, Actors, and Concepts

Anthony Stefanidis, Emily Vraga, Georgios Lamprianidis, Jacek Radzikowski, Paul L Delamater, Kathryn H Jacobsen, Dieter Pfoser, Arie Croitoru, Andrew Crooks
2017 JMIR Public Health and Surveillance  
international concern plays out in social media, and Twitter in particular.  ...  The Centers for Disease Control and World Health Organization had a prominent presence in social media discussions.  ...  As such, they can inform narrative-driven visualizations [44] of the interaction in social media.  ... 
doi:10.2196/publichealth.6925 pmid:28428164 pmcid:PMC5418522 fatcat:fewn5ksojrap3jvk3xfh22zpvy

CIME: Context-aware geolocation of emergency-related posts

Gabriele Scalia, Chiara Francalanci, Barbara Pernici
2021 Geoinformatica  
AbstractInformation extracted from social media has proven to be very useful in the domain of emergency management.  ...  In addition, social media creates a social network and each post can be enhanced with indirect information from the post's network of relationships with other posts (for example, a retweet can be associated  ...  The European Commission is not liable for any use of the information contained in this work.  ... 
doi:10.1007/s10707-021-00446-x fatcat:xovyjlcwhbhopkj7roheuh6hgi

Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media

Miles Osborne, Sean Moran, Richard McCreadie, Alexander Von Lunen, Martin Sykora, Elizabeth Cano, Neil Ireson, Craig Macdonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna (+1 others)
2014 Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations  
The use of social media message streams for event detection poses a number of opportunities and challenges as these streams are: very high in volume, often contain duplicated, incomplete, imprecise and  ...  The Social Sensor (Aiello et al., 2013) system facilitates the tracking of predefined events using social streams. In contrast, we track all automatically discovered events we find in the stream.  ... 
doi:10.3115/v1/p14-5007 dblp:conf/acl/OsborneMMLSCIMOHJCO14 fatcat:d6jjkib7gfb37kt2iyvtsqpz3a

Using Social Media to Predict the Future: A Systematic Literature Review [article]

Lawrence Phillips, Chase Dowling, Kyle Shaffer, Nathan Hodas and Svitlana Volkova
2017 arXiv   pre-print
Because user behavior on SM is a reflection of events in the real world, researchers have realized they can use SM in order to forecast, making predictions about the future.  ...  Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings, and actions at a resolution previously unimaginable.  ...  T 73M users Social, Spatial Regression MAE 364mi Compton [43] Geolocation T 111M users Social, Spatial Regression MAE 289km Xu [211] Geolocation TW 2M users Social, Spatial Regression  ... 
arXiv:1706.06134v1 fatcat:w5t4r2ucunebnaz4rp2ta6zqm4

Social-media data for urban sustainability

Rositsa T. Ilieva, Timon McPhearson
2018 Nature Sustainability  
A voluminous and complex amount of information -'big data' -from social media such as Twitter and Flickr is now ubiquitous and of increasing interest to researchers studying human behaviour in cities.  ...  Yet the value of social-media data (SMD) for urban-sustainability research is still poorly understood.  ...  Ethical dilemmas The risk of violating social-media users' privacy 116 is arguably among the most debated ethical challenges in the field.  ... 
doi:10.1038/s41893-018-0153-6 fatcat:tulhd3uimjerlixltpwtlqdpqi

Rapid Multi-Dimensional Impact Assessment of Floods

David Pastor-Escuredo, Yolanda Torres, María Martínez-Torres, Pedro J. Zufiria
2020 Sustainability  
Network analysis was applied to the social media to extract patterns of social effects after the flood.  ...  The results show that social media proxies provide a robust identification with daily granularity even when rainfall detectors fail.  ...  Social media data was used under terms suitable from the data partners. The use and analysis of data was approved by the Ethics and Evaluation committee of the UN D4CA Challenge.  ... 
doi:10.3390/su12104246 fatcat:jzwnzyvul5dwjoam3htn2blbba

Using Large Scale Aggregated Knowledge for Social Media Location Discovery

Dennis Thom, Harald Bosch, Robert Krueger, Thomas Ertl
2014 2014 47th Hawaii International Conference on System Sciences  
In this work we introduce two strategies that are suitable to assign probable locations of origin to social media messages of unknown locations.  ...  Geospatial analysis of location-enabled social media networks can be utilized to generate vital insights in areas where situational awareness is important, such as disaster prevention and crisis response  ...  ACKNOWLEDGMENT This work was supported in part by the German Federal Ministry of Education and Research (BMBF) in context of the VASA project and by the cooperative graduate program 'Digital Media' of  ... 
doi:10.1109/hicss.2014.189 dblp:conf/hicss/ThomBKE14 fatcat:pvyzpd4prfchhjxhkha5wungvi

How Sudden Censorship Can Increase Access to Information

William R. Hobbs, Margaret Roberts
2017 Social Science Research Network  
We illustrate this phenomenon using millions of individual-level actions of social media users in China before and after the block of Instagram.  ...  as opposition protests in Hong Kong.  ...  When users sign up for a social media account, they can indicate the language they would like their social media account to appear in.  ... 
doi:10.2139/ssrn.2990593 fatcat:gvrxm4a36jc2pn3ls554si3jf4
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