Tanmoy Chakraborty
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Fighting an infodemic: Covid-19 fake news dataset
P Patwa, S Sharma, S Pykl, V Guptha, G Kumari, MS Akhtar, A Ekbal, ...
Combating Online Hostile Posts in Regional Languages during Emergency …, 2021
Spotfake: A multi-modal framework for fake news detection
S Singhal, RR Shah, T Chakraborty, P Kumaraguru, S Satoh
2019 IEEE fifth international conference on multimedia big data (BigMM), 39-47, 2019
Metrics for community analysis: A survey
T Chakraborty, A Dalmia, A Mukherjee, N Ganguly
ACM Computing Surveys (CSUR) 50 (4), 1-37, 2017
Semeval-2020 task 9: Overview of sentiment analysis of code-mixed tweets
P Patwa, G Aguilar, S Kar, S Pandey, S Pykl, B Gambäck, T Chakraborty, ...
arXiv preprint arXiv:2008.04277, 2020
We used neural networks to detect clickbaits: You won’t believe what happened next!
A Anand, T Chakraborty, N Park
Advances in Information Retrieval: 39th European Conference on IR Research …, 2017
On the permanence of vertices in network communities
T Chakraborty, S Srinivasan, N Ganguly, A Mukherjee, S Bhowmick
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
SemEval-2020 Task 8: Memotion Analysis--The Visuo-Lingual Metaphor!
C Sharma, D Bhageria, W Scott, S PYKL, A Das, T Chakraborty, ...
arXiv preprint arXiv:2008.03781, 2020
Ec2: Ensemble clustering and classification for predicting android malware families
T Chakraborty, F Pierazzi, VS Subrahmanian
IEEE Transactions on Dependable and Secure Computing 17 (2), 262-277, 2017
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection
WS Paka, R Bansal, A Kaushik, S Sengupta, T Chakraborty
Applied Soft Computing 107, 107393, 2021
Spotfake+: A multimodal framework for fake news detection via transfer learning (student abstract)
S Singhal, A Kabra, M Sharma, RR Shah, T Chakraborty, P Kumaraguru
Proceedings of the AAAI conference on artificial intelligence 34 (10), 13915 …, 2020
A survey on multimodal disinformation detection
F Alam, S Cresci, T Chakraborty, F Silvestri, D Dimitrov, GDS Martino, ...
arXiv preprint arXiv:2103.12541, 2021
Towards a Stratified Learning Approach to Predict Future Citation Counts
T Chakraborty, S Kumar, P Goyal, N Ganguly, A Mukherjee
ACM/IEEE Digital Libraries 2014 (jointly with JCDL and TPDL), 0
Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts
P Patwa, M Bhardwaj, V Guptha, G Kumari, S Sharma, P Srinivas, ...
Proceedings of the First Workshop on Combating Online Hostile Posts in …, 2021
MOMENTA: A multimodal framework for detecting harmful memes and their targets
S Pramanick, S Sharma, D Dimitrov, MS Akhtar, P Nakov, T Chakraborty
arXiv preprint arXiv:2109.05184, 2021
Introducing CAD: the contextual abuse dataset
B Vidgen, D Nguyen, H Margetts, P Rossini, R Tromble
Detecting Harmful Memes and Their Targets
S Pramanik, D Dimitrov, R Mukherjee, S Sharma, MS Akhtar, P Nakov, ...
Findings of the Association for Computational Linguistics: ACL-IJCNLP, 2021
Multi-modal sarcasm detection and humor classification in code-mixed conversations
M Bedi, S Kumar, MS Akhtar, T Chakraborty
IEEE Transactions on Affective Computing 14 (2), 1363-1375, 2021
Unsupervised fake news detection: A graph-based approach
SCR Gangireddy, D P, C Long, T Chakraborty
Proceedings of the 31st ACM conference on hypertext and social media, 75-83, 2020
Bag-of-lies: A multimodal dataset for deception detection
V Gupta, M Agarwal, M Arora, T Chakraborty, R Singh, M Vatsa
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Phishing URL detection with oversampling based on text generative adversarial networks
A Anand, K Gorde, JRA Moniz, N Park, T Chakraborty, BT Chu
2018 IEEE International Conference on Big Data (Big Data), 1168-1177, 2018
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