is a group of researchers who study, analyze, and build different aspects of social systems (e.g.
social web systems like Twitter, Facebook), including their security and privacy. By understanding
and measuring complex networks, we try and build solutions for social good. Our work primarily
derives from Data Science, Computational Social Science, Social Computing, Machine Learning, and
Natural Language Processing.
Sep 2021: Shreya Sharma successfully defended her Masters thesis | Thesis
Document | Slides
Sep 2021: Today's The Hindu, page 3 | Online Version
July 2021: Our paper "(Un)Masked COVID-19 Trends from Social Media" accepted at Journal of Medical
Internet Research (JMIR) Public Health and Surveillance. | Paper
July 2021: Our paper "Psychometric Analysis and Coupling of Emotions Between State Bulletins and
Twitter in India during COVID-19 Infodemic", accepted at Frontiers in Communication, section Health
Communication. | Paper
July 2021: Our work on AI framework for operationalizing Data Quality gets included in the National Guidelines for Data Quality in Surveys. Joint work with Sezal,
Priya, & Dr. Tavpritesh Sethi.
July 2021: Our Fall Paper
Reading schedule | Register | Join the List
July 2021: Our work on Data Exchange, National Digital Health Mission NDHM platform featured in Vigyan Prasar (magazine), , a Government of India organization. | Section | Joint work with Prof. Tavpritesh Sethi & Team
July 2021: Starting Jan 2022 PK will be teaching Online Privacy on NPTEL / Swayam. Syllabus & Topics
July 2021: PK’s podcast on driving factors of life, energy from students, when and why do
#ProfGiri-ing, some best moments of life. | Video
July 2021: Our paper "“A Virus Has No Religion”: Analyzing Islamophobia on Twitter During the
COVID-19 Outbreak" accepted at 32nd ACM Conference on Hypertext and Social Media (HT ’21) | Paper | Dataset
Masked COVID-19 Trends from Social Media.png)
