Robust detection of hyper-local events from geotagged social media data

Authors Xie K., Xia C., Grinberg N., Schwartz R., and Naaman M. Architecture of our local event detection system. Including data collector, time-series builder, Gaussian Process regression model, alert engine and classifier. Arrows indicate input and output flow of each module. Abstract An increasing number of location-annotated content available from social media channels like Twitter,

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Making Sense of Cities Using Social Media: Requirements for Hyper-Local Data Aggregation Tools

Authors Schwartz, R., Naaman M., Matni, Z. Examples of geo-tagged social media data visualizations mockups. Clockwise: geo-tagged topic groupings, keywords appearance graphs, volume graph and heat map Abstract As more people tweet, check-in and share pictures and videos of their daily experiences in the city, new opportunities arise to understand urban activity. When aggregated, these

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‘Magic Grants’ awards announced!

The Brown Institute for Media Innovation has awarded seed funding to teams of students, post-docs and faculty from Stanford and Columbia universities to develop new technologies that could transform the ways media content is produced, delivered and consumed. The winning projects include a natural language processor that detects media bias, an experiment in augmenting stories with virtual

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Board member Meeker at Code Conference

Brown Institute Board member Mary Meeker made news at the inaugural Code Conference on May 28, presenting her annual “most influential Internet trends” of the year.  Meeker’s “top 10” touted IOS manufacturing in the U.S., the rise of cyberthreats, the growth of online education, the digitization of healthcare, the push toward private social circles, big

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Dispatch @ WWW ’13

The 2012-2013 Magic Grant Dispatch, a platform for secure communication when journalists report from scenes of conflict. We are happy to announce that a paper by the Dispatch Team, “Weaving a Safe Web of News,” was accepted to the Social News on the Web workshop of the WWW ’13 conference. Congratulations!

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