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.
- Bimal Viswanath, Muhammad Ahmad Bashir, Muhammad Bilal Zafar, Simon Bouget, Saikat Guha, Krishna Gummadi, Aniket Kate, and Alan Mislove, Strength in Numbers: Robust Tamper Detection in Crowd Computations, in Proceedings of the ACM Conference on Online Social Networks (COSN), Palo Alto, CA, November 2015.
- Vasileios Lampos, Elad Yom-Tov, Richard Pebody, and Ingemar J. Cox, Assessing the Impact of a Health Intervention via User-generated Internet Content, in Data mining and knowledge discovery, Springer, 7 September 2015.
- Elena Agapie, Jaime Teevan, and Andrés Monroy-Hernández, Crowdsourcing in the Field: A Case Study Using Local Crowds for Event Reporting, in Human Computation (HCOMP), AAAI - Association for the Advancement of Artificial Intelligence, August 2015.
- Xiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R. Voss, Heng Ji, and Jiawei Han, ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering, in Proc. 2015 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’15), ACM – Association for Computing Machinery, August 2015.
- LINE: Large-scale Information Network Embedding
- Pop Therapy
- MSR Ethics Review Framework
- 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)