CityBeat: Visualizing the Social Media Pulse of the City

CityBeat is a an academic research project set to develop an application that sources, monitors and analyzes hyper-local information from multiple social media platforms such as Instagram and Twitter in real time.

This project was led by researchers at the Jacobs Institute at Cornell Tech,  in collaboration with the The New York World (Columbia Journalism School), Rutgers University, NYU, and Columbia University….

If you are interested in the technical details, we have published several papers detailing the process of building CityBeat. Enjoy your read!

Xia C., Schwartz, R., Xie K., Krebs A., Langdon A., Ting J. and Naaman M., CityBeat: Real-time Social Media Visualization of Hyper-local City Data. In Proceedings, WWW 2014, Seoul, Korea, April 2014. [PDF]

Xie K., Xia C., Grinberg N., Schwartz R., and Naaman M., Robust detection of hyper-local events from geotagged social media data. In Proceedings of the 13th Workshop on Multimedia Data Mining in KDD, 2013. [PDF]

Schwartz, R., Naaman M., Matni, Z. (2013) Making Sense of Cities Using Social Media: Requirements for Hyper-Local Data Aggregation Tools. In Proceedings, WCMCW at ICWSM 2013, Boston, USA, July 2013. [PDF]