WELCOME!
The social computing group is developing computational methods for processing and analyzing large scale social data, aiming to understanding complex social behavior and to inform the design of human-centered and socially aware systems. In recent research we studied the emergence of conventions in Twitter, we developed methods for preventing spam in social networks, and we proposed a framework for tracking the relation between a user and its community.
RECENT PUBLICATIONS:
Fairness Beyond Disparate Treatment and Disparate Impact: Learning Classification Without Disparate Mistreatment
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez and Krishna P. Gummadi. 26th International World Wide Web Conference (WWW), 2017.
Optimizing the Recency-Relevancy Trade-off in Online News Recommendations
Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly and Krishna P. Gummadi. 26th International World Wide Web Conference (WWW), 2017.
Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media
Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, and Karrie G. Karahalios. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), 2017.
The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making
Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi, and Adrian Weller. NIPS Symposium on Machine Learning and the Law, 2016.
Best paper award
Fairness Beyond Disparate Treatment and Disparate Impact: Learning Classification Without Disparate Mistreatment
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez and Krishna P. Gummadi. Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), 2016.
The Case for Temporal Transparency: Detecting Policy Change Events in Black-Box Decision Making Systems
Miguel Ferreira, Muhammad Bilal Zafar, Isabel Valera, and Krishna P. Gummadi. Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), 2016.
On the Free Bridge Across the Digital Divide: Assessing the Quality of Facebook's Free Basics Service
Rijurekha Sen, Hasnain Ali Pirzada, Amreesh Phokeer, Zaid Ahmed Farooq, Satadal Sengupta, David Choffnes, and Krishna P. Gummadi. ACM Internet Measurement Conference (IMC), 2016.
On Profile Linkability Despite Anonymity in Social Media Systems
Michael Backes, Pascal Berrang, Oana Goga, Krishna P. Gummadi, and Praveen Manoharan. Workshop on Privacy in the Electronic Society (WPES), 2016.
R-Susceptibility: An IR-Centric Approach to Assessing Privacy Risks for Users in Online Communities
Joanna Asia Biega, Krishna P. Gummadi, Ida Mele, Dragan Milchevski, Christos Tryfonopoulos, and Gerhard Weikum. Annual SIGIR Conference (SIGIR), 2016.
Forgetting in Social Media: Understanding and Controlling Longitudinal Exposure of Socially Shared Data
Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, and Aniket Kate. Symposium on Usable Security and Privacy (SOUPS), 2016.
Complete list of publications.