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

Nov 2021: Our paper "What's Kooking? Characterizing India's Emerging Social Network, Koo" awarded Best Student Paper at the IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM '21) | Paper | Blog | Slides

Nov 2021: Prashant Kodali successfully defends his Ph.D. Comprehensive Exam | Report | Slides

Oct 2021: Our paper "'I'll be back': Examining Restored Accounts On Twitter" accepted at The 20th IEEE/WIC/ACM WI-IAT (2021)| Paper

Oct 2021: Our paper "Efficient Representation of Interaction Patterns with Hyperbolic Hierarchical Clustering for Classification of Users on Twitter" accepted at The 20th IEEE/WIC/ACM WI-IAT (2021) | Paper

Oct 2021: Our paper "Truth and Travesty Intertwined: A Case Study of #SSR Counter public Campaign" accepted at FOSINT-SI | Paper

Sep 2021: Our paper "Inter-modality Discordance for Multimodal Fake News Detection." accepted at ACM Multimedia Asia (MMAsia ’21) | Paper

Sep 2021: Our work ranked 3rd of 6 teams across all shared tasks at the HASOC '21 challenge at FIRE '21 | Paper | Blog

Sep 2021: Our analysis on the Identification of Toxic, Engaging, and Fact-Claiming Comments ranked 6 of 15 at the GermEval Workshop at KONVENS '21 | Paper | Presentation

Sep 2021: Our paper "What's Kooking? Characterizing India's Emerging Social Network, Koo" accepted at IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM '21) | Paper | Blog | Slides

Sep 2021: Our work "“A Virus Has No Religion”: Analyzing Islamophobia on Twitter During the COVID-19 Outbreak" presented at 32nd ACM Conference on Hypertext and Social Media (HT ’21) | Presentation

More...

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

Human-centered computing, Social networks, Social Media
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KCNet

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

Entity Canonicalization, Recruitment Domain
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Spy The Lie

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

Recruitment Domain, Fraudulent Jobs, Knowledge Graphs
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CoMeT

CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences

NLP, Code-mixed
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AbuseAnalyzer

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

Social Media, Hate Speech
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(Un)Masked

(Un)Masked COVID-19 Trends from Social Media

Covid-19, Deep Learning, Social Media Analysis
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Fake News Detection

Automating Fake News Detection System using Multi-level Voting Model

Fake News, Machine Learning
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SpotFake

SpotFake: A Multi-Modal Framework for Fake News Detection

Fake News, Social Computing, NLP, DL
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Meme Images

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

Human-centered computing, Accessibility technologies
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DeepFakes

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

Fake News, Forged
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Driving the Last Mile

Characterizing and Understanding Distracted Driving Posts on Social Networks

Social Media, Deep Learning,
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Con2KG

Con2KG-A Large-scale Domain-Specific Knowledge Graph

Knowledge Graphs, Recruitment Domain