ABSTRACT
With the increasing volume of location-annotated content from various social media platforms like Twitter, Instagram and Foursquare, we now have real-time access to people's daily documentation of local activities, interests and attention. In this demo paper, we present CityBeat, a real-time visualization of hyper-local social media content for cities. The main objective of CityBeat is to provide users -- with a specific focus on journalists -- with information about the city's ongoings, and alert them to unusual activities. The system collects a stream of geo-tagged photos as input, uses time series analysis and classification techniques to detect hyper-local events, and compute trends and statistics. The demo includes a visualization of this information that is designed to be installed on a large-screen in a newsroom, as an ambient display.
- Hila Becker, Mor Naaman, and Luis Gravano. Learning similarity metrics for event identification in social media. In Proceedings of the 13rd ACM International Conference on Web Search and Data Mining, pages 291--300, 2010. Google ScholarDigital Library
- Ling Chen and Abhishek Roy. Event detection from flickr data through wavelet-based spatial analysis. In Proceedings of the 18th ACM Conference on Information and Knowledge Management, pages 523--532, 2009. Google ScholarDigital Library
- Yuheng Hu, Shelly D. Farnham, and Andrés Monroy-Hernández. Whoo.ly: Facilitating information seeking for hyperlocal communities using social media. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 3481--3490, 2013. Google ScholarDigital Library
- Michael Mathioudakis and Nick Koudas. Twittermonitor: Trend detection over the twitter stream. In Proceedings of the International Conference on Management of Data, pages 1155--1158, 2010. Google ScholarDigital Library
- Joaquin Quionero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence. Dataset shift in machine learning. The MIT Press, 2009. Google ScholarDigital Library
- Takeshi Sakaki, Makoto Okazaki, and Yutaka Matsuo. Earthquake shakes twitter users: Real-time event detection by social sensors. In Proceedings of the 19th International Conference on World Wide Web, pages 851--860, 2010. Google ScholarDigital Library
- Raz Schwartz, Mor Naaman, and Ziad Matni. Making sense of cities using social media: Requirements for hyper-local data aggregation tools. In Proceedings of the International AAAI Conference on Weblogs and Social Media, 2013.Google Scholar
- Maximilian Walther and Michael Kaisser. Geo-spatial event detection in the twitter stream. In Proceedings of the 35th European Conference on Advances in Information Retrieval, pages 356--367, 2013. Google ScholarDigital Library
- Andreas Weiler, Marc H. Scholl, Franz Wanner, and Christian Rohrdantz. Event identification for local areas using social media streaming data. In Proceedings of the 3rd Workshop on Databases and Social Networks in SIGMOD, pages 1--6, 2013. Google ScholarDigital Library
- Ke Xie, Chaolun Xia, Nir Grinberg, Raz Schwartz, and Mor Naaman. Robust detection of hyper-local events from geotagged social media data. In Proceedings of the 13th Workshop on Multimedia Data Mining in KDD, 2013. Google ScholarDigital Library
Index Terms
- CityBeat: real-time social media visualization of hyper-local city data
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