Precog Research Group @ IIIT-Hyderabad

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!

Oct 2021: Our paper "'I'll be back': Examining Restored Accounts On Twitter" accepted at The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (2021)

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 International Conference on Web Intelligence and Intelligent Agent Technology (2021).

Oct 2021: Our paper "Truth and Travesty Intertwined: A Case Study of #SSR Counter public Campaign" accepted at International Symposium on Foundations of Open Source Intelligence and Security Informatics (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

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

Sep 2021: Shreya Sharma successfully defended her Masters thesis | Thesis Document | Slides

Sep 2021: Today's The Hindu, page 3 | Online Version

More...

Exciting Work

“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	KCNet KCNet: Kernel-based Canonicalization Network for entities in Recruitment Domain Entity Canonicalization, Recruitment Domain	Spy The Lie Spy The Lie: Fraudulent Jobs Detection in Recruitment Domain using Knowledge Graphs Recruitment Domain, Fraudulent Jobs, Knowledge Graphs
CoMeT CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences NLP, Code-mixed	AbuseAnalyzer AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts Social Media, Hate Speech	(Un)Masked (Un)Masked COVID-19 Trends from Social Media Covid-19, Deep Learning, Social Media Analysis
Fake News Detection Automating Fake News Detection System using Multi-level Voting Model Fake News, Machine Learning	SpotFake SpotFake: A Multi-Modal Framework for Fake News Detection Fake News, Social Computing, NLP, DL	Meme Images Towards Increased Accessibility of Meme Images with the help of Rich Face Emotion Captions Human-centered computing, Accessibility technologies
DeepFakes DeepFakes: temporal sequential analysis to detect face-swapped video clips using convolutional long short-term memory Fake News, Forged	Driving the Last Mile Characterizing and Understanding Distracted Driving Posts on Social Networks Social Media, Deep Learning,	Con2KG Con2KG-A Large-scale Domain-Specific Knowledge Graph Knowledge Graphs, Recruitment Domain

“A Virus Has No Religion”

KCNet

Spy The Lie

CoMeT

AbuseAnalyzer

(Un)Masked

Fake News Detection

SpotFake

Meme Images

DeepFakes

Driving the Last Mile

Con2KG