About the lab

Precog 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.

Featured projects (1)

Featured research (5)

Social media in present times has a significant and growing influence. Fake news being spread on these platforms have a disruptive and damaging impact on our lives. Furthermore, as multimedia content improves the visibility of posts more than text data, it has been observed that often multimedia is being used for creating fake content. A plethora of previous multimodal-based work has tried to address the problem of modeling heterogeneous modalities in identifying fake content. However, these works have the following limitations: (1) inefficient encoding of inter-modal relations by utilizing a simple concatenation operator on the modalities at a later stage in a model, which might result in information loss; (2) training very deep neural networks with a disproportionate number of parameters on small but complex real-life multimodal datasets result in higher chances of overfitting. To address these limitations, we propose GAME-ON, a Graph Neural Network based end-to-end trainable framework that allows granular interactions within and across different modalities to learn more robust data representations for multimodal fake news detection. We use two publicly available fake news datasets, Twitter and Weibo, for evaluations. Our model outperforms on Twitter by an average of 11% and keeps competitive performance on Weibo, within a 2.6% margin, while using 65% fewer parameters than the best comparable state-of-the-art baseline.
The extensive rise in consumption of online social media (OSMs) by a large number of people poses a critical problem of curbing the spread of hateful content on these platforms. With the growing usage of OSMs in multiple languages, the task of detecting and characterizing hate becomes more complex. The subtle variations of code-mixed texts along with switching scripts only add to the complexity. This paper presents a solution for the HASOC 2021 Multilingual Twitter Hate-Speech Detection challenge by team PreCog IIIT Hyderabad. We adopt a multilingual transformer based approach and describe our architecture for all 6 sub-tasks as part of the challenge. Out of the 6 teams that participated in all the sub tasks, our submissions rank 3rd overall.
The extensive rise in consumption of online social media (OSMs) by a large number of people poses a critical problem of curbing the spread of hateful content on these platforms. With growing usage of OSMs in multiple languages, the task of detecting and characterizing hate becomes more complex. The subtle variations of code-mixed texts along with switching scripts only adds to the complexity. This paper presents the solution for the HASOC 2021 multilingual hate-speech detection shared task for Twitter. We adopt a multilingual transformer based approach and describe our architecture for all 6 sub-tasks as part of the challenge. Out of the 6 teams that participated in all the sub tasks, our submissions ranks 3rd overall.

Lab head

Ponnurangam Kumaraguru
About Ponnurangam Kumaraguru
  • Professor, International Institute of Information Technology (IIIT), Hyderabad. TEDx and an ACM Distinguished speaker & ACM India Eminent Speaker. Ph.D. from the School of Computer Science at Carnegie Mellon University (CMU). Founder PreCog, precog.iiit.ac.in a research group at IIIT-Hyderabad. I am interested in Computational Social Science, Social Computing, Privacy, Security, Online Social Networks. I can be reached at pk.guru [at] iiit.ac.in.

Members (53)

Lorrie Cranor
  • Carnegie Mellon University
Rishabh Kaushal
  • Indira Gandhi Delhi Technical University for Women
Niharika Sachdeva
  • Indraprastha Institute of Information Technology
Prateek Dewan
  • Indraprastha Institute of Information Technology
Anshuman Suri
  • University of Virginia
Anupama Aggarwal
  • Indraprastha Institute of Information Technology
Sr. Shubham Singh Albert
  • Senior Researcher & Scientist
Vedant Nanda
  • Indraprastha Institute of Information Technology
Manish Gupta
Manish Gupta
  • Not confirmed yet
Sameep Mehta
Sameep Mehta
  • Not confirmed yet
Tatiana Pontes
Tatiana Pontes
  • Not confirmed yet
Satadal Sengupta
Satadal Sengupta
  • Not confirmed yet
Varun Bharadhwaj
Varun Bharadhwaj
  • Not confirmed yet
Arpit Merchant
Arpit Merchant
  • Not confirmed yet
Gurpreet Singh Bhatia
Gurpreet Singh Bhatia
  • Not confirmed yet