Exploring changes in how people work, play, and connect
Our interdisciplinary teams explore many aspects of social media to help us to understand, model, and enable the online experiences of both the present and the future.
We study online behavior and interactions to help us gain insights into how social and technological forces interact. We also build new forms of online experiences around communities of interest, to gain understanding of how to bring people together.
- Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Meg Mitchell, Jian-Yun Nie, and Bill Dolan, A Neural Network Approach to Context-Sensitive Generation of Conversational Responses, Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL-HLT 2015), June 2015.
- Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, and Jiawei Han, Mining Quality Phrases from Massive Text Corpora, ACM – Association for Computing Machinery, June 2015.
- Elad Yom-Tov, Ebola data from the Internet: An opportunity for syndromic surveillance or a news event?, ACM – Association for Computing Machinery, 18 May 2015.
- Erin Brady, Meredith Ringel Morris, and Jeffrey P. Bigham, Gauging Receptiveness to Social Microvolunteering, in Proceedings of CHI 2015, ACM – Association for Computing Machinery, April 2015.
- ATL Cairo GPSP - Projects Ideas
- Shared Media Study
- Web-Scale Multimedia Mining and Understanding
- Discussion Graph Tool
- Online and social media data as a flawed continuous panel survey
- MSR-Bing Image Retrieval Challenge (IRC)
- MobiUS: WE, on the Go! (a.k.a Lover's Phone)