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.

What's New!

Doing research, building solutions, making a difference in Society

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


Exciting Work
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“A Virus Has No Religion”

“A Virus Has No Religion”: Analyzing Islamophobia on Twitter During the COVID-19 Outbreak

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KCNet: Kernel-based Canonicalization Network for entities in Recruitment Domain

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Spy The Lie

Spy The Lie: Fraudulent Jobs Detection in Recruitment Domain using Knowledge Graphs

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CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences

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AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts

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(Un)Masked COVID-19 Trends from Social Media

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Fake News Detection

Automating Fake News Detection System using Multi-level Voting Model

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SpotFake: A Multi-Modal Framework for Fake News Detection

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Meme Images

Towards Increased Accessibility of Meme Images with the help of Rich Face Emotion Captions

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DeepFakes: temporal sequential analysis to detect face-swapped video clips using convolutional long short-term memory

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Driving the Last Mile

Characterizing and Understanding Distracted Driving Posts on Social Networks

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Con2KG-A Large-scale Domain-Specific Knowledge Graph