Research Interests
I am too lazy to update my website regularly. Most of my publications are indexed by Google Scholar and DBLP.
Publications of my research group are available here
This page displays only those papers which have been accepted but yet to come online:
This page displays only those papers which have been accepted but yet to come online:
Udit Arora, Hridoy Sankar Dutta, Brihi Joshi, Aditya Chetan, Tanmoy Chakraborty . Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities, ACM Transactions on Intelligent Systems and Technology (TIST), 2020. (Impact Factor: 2.861)
Hridoy Sankar Dutta, Vishal Raj Dutta, Aditya Adhikary, Tanmoy Chakraborty. HawkesEye: Detecting Fake Retweeters using Hawkes Process and Topic Modeling, IEEE Transactions on Information Forensics & Security , 2020. (Impact Factor: 6.211)
Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath. Aspect-based Academic Search using Domain-specific KB, European Conference on Information Retrieval (ECIR), 2020.
Sarthak Jindal, Raghav Sood, Richa Singh, Mayank Vatsa, Tanmoy Chakraborty. NewsBag: A Benchmark Multimodal Dataset for Fake News Detection, SafeAI workshop, AAAI, 2020.
Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru. SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning, 34rd AAAI Conference on Artificial Intelligence (AAAI), 2020.
Hridoy Sankar Dutta, Tanmoy Chakraborty, Blackmarket-driven Collusion among Retweeters Analysis, Detection and Characterization, IEEE Transactions on Information Forensics & Security, 2019. (Impact Factor: 6.211)
Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty. Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory, 19th IEEE International Conference on Data Mining (ICDM), Beijing, China, Nov 8-11, 2019. (Acceptance rate: 9.08%)
Subhabrata Dutta, Gunkirat Kaur, Shreyans Mongia, Arpan Mukherjee, Dipankar Das, Tanmoy Chakraborty. Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion, 28th ACM International Conference on Information and Knowledge Management (CIKM), Beijing, China, Nov 3-7, 2019. (Acceptance rate: 19.4%)
Zhe Cui, Noseong Park, Tanmoy Chakraborty. Incremental Community Discovery Using Latent Network Representation and Probabilistic Inference, Knowledge and Information Systems (KAIS), 2019. (Impact Factor: 2.247)