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!

May 2022: Our paper "Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts" accepted at the 8th Workshop on Computational Linguistics and Clinical Psychology held in conjunction with NAACL'22 | Paper

May 2022: Our paper "Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on Google Play" accepted at the 33rd ACM Conference on Hypertext and Social Media (HT ’22) | Paper

April 2022: Our paper "Ask It Right! Identifying Low-Quality questions on Community Question Answering Services" accepted at International Joint Conference on Neural Networks (IJCNN-2022) | Pre-Print

April 2022: Our poster "Urbanization and Literacy as factors in Politicians’ Social Media Use in a largely Rural State: Evidence from Uttar Pradesh, India." accepted at COMPASS '22 | Poster

March 2022: Our paper "A Tale of Two Sides: Study of Protesters and Counter-protesters on #CitizenshipAmendmentAct Campaign on Twitter" accepted at WebSci-2022 | Pre-Print

March 2022: Our paper "VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning" accepted at the Journal of Intelligence-Based Medicine. 2022. | Pre-Print

March 2022: Our paper "TweetBoost: Influence of Social Media on NFT Valuation" accepted at FinWeb-2022 (Workshop at WWW '2022) | Pre-Print

March 2022: Our work "Twitter-STMHD: An Extensive User-Level Database of Multiple Mental Health Disorders." accpeted at the 16th International AAAI Conference on Web and Social Media (ICWSM' 22). | Pre-Print

March 2022: Our work "Effect of Popularity Shocks on User Behaviour." accepted at the 16th International AAAI Conference on Web and Social Media (ICWSM). | Pre-Print

March 2022: Our work "FactDrill: A Data Repository of Fact-checked Social Media Content to Study Fake News Incidents in India." accepted at the 16th International AAAI Conference on Web and Social Media (ICWSM). | Pre-Print

Feb 2022: Our work "Leveraging Intra and Inter Modality Relationship for Multimodal Fake News Detection" accepted at MUWS, co-located with The WebConf (WWW) 2022 | Pre-Print

More...

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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SyMCoM

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

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

CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences

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AbuseAnalyzer

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

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(Un)Masked

(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

SpotFake: A Multi-Modal Framework for Fake News Detection