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!

Brainstorm | Monsoon'22

August 2022: Dr. Nishtha Phutela defends her PhD thesis on "Development of Stress Induction and Detection System to Study its Effect on Brain" | Thesis Document | Slides | Defence pics | Convocation pics

August 2022: PK conducts a two day workshop on Computational Social Science at IIT Madras | Pics

August 2022: Mallika Subramanian blogs her experience with us "Learn, Bond, Grow @ Precog!" | Blog

August 2022: Our 1st Paper Reading session for the Fall 2022 semester. | Paper | Pics

August 2022: Our paper "A study on the Evolution of Topics and Topic Interactions in OSNs: A Temporal Approach" accepted as late breaking paper at 13th International Conference on Social Informatics (SocInfo) 2022

August 2022: "The Times They Are-a-Changin": The Effect of the Covid-19 Pandemic on Online Music Sharing in India, accepted at 13th International Conference on Social Informatics (SocInfo) 2022 | Pre-print

August 2022: PK will be at IIT Madras for an in-person 5 hour workshop on 26-27 August 2022. | Poster

August 2022: PK gave a talk at IGDTUW as a part of their orientation program | Poster

August 2022: Ritwik Mishra defended his comprehensive exam on "A Framework for Automatic Question Answering in Indian Languages” | Pic | Slides | Summary | Report

August 2022: PK starting a new position as Associate Researcher (adjunct position) at Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras | Pic

July 2022: Summer Institute of Computational Social Science wrap up | Pic

July 2022: PK visits IIT Madras | Pic

July 2022: Prof. Kiran Garimella visits IIIT-H to give a talk at SICSS'22 | Pic

July 2022: Hiring 3-4 full time Research Associates | Apply

July 2022: Shashwat Goel visiting Université Paris Dauphine - PSL for a 3 month internship with CNRS France | Pic

July 2022: Prof. Rajesh Sharma from University of Tartu is visiting us | Pic

July 2022: Shivangi Singhal (pursuing PhD from IIIT Delhi) is visiting us | Pic

July 2022: PK is a part of 9th Hiedelberg Laureate Forum's 2022 Young Researcher Selection Committee | Pic

July 2022: Jivitesh Jain completes his B.Tech (Hons) from IIIT Hyderabad with a 10 CG | Pic

July 2022: Arnav Kapoor successfully defends his Masters thesis "Justice Delayed is Justice Denied Enabling Legal Artificial Intelligence via Bail Prediction on Hindi Case Documents" | Pic | Thesis Document | Full video | Slides | Code |

July 2022: Dr. Geetika Arora successfully defends her Ph.D. thesis "Efficient Indexing Techniques for Biometric Databases" at Birla Institute of Technology and Science, Pilani | Pic


Exciting Work
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Hindi Legal Documents Corpus

HLDC: the Hindi Legal Documents Corpus (HLDC), a corpus of 900K legal documents in Hindi.

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A collection of English-Hindi code-mixed datasets from a syntactic lens

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Lockstep Behaviors on Google Play

Investigating how fraud is intertwined with labor and poses a threat

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Diagnosing Data from ICTs

A first step to a holistic qualitative and quantitative evaluation of the Digital Green as an ICT

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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