| SpotFake: A Multi-modal Framework for Fake News Detection S Singhal, RR Shah, T Chakraborty, P Kumaraguru, S Satoh IEEE Fifth International Conference on Multimedia Big Data (BigMM), 2019 | 378 | 2019 |
| 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 The Association for the Advancement of Artificial Intelligence (AAAI-20) 34 …, 2020 | 128 | 2020 |
| Aspect-based financial sentiment analysis using deep learning H Jangid, S Singhal, RR Shah, R Zimmermann Companion Proceedings of the The Web Conference 2018, 1961-1966, 2018 | 98 | 2018 |
| Leveraging Intra and Inter Modality Relationship for Multimodal Fake News Detection S Singhal, T Pandey, S Mrig, RR Shah, P Kumaraguru MUWS, The Web Conference (WWW), 2022 | 36 | 2022 |
| FactDrill: A Data Repository of Fact-Checked Social Media Content to Study Fake News Incidents in India S Singhal, RR Shah, P Kumaraguru Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 19* | 2022 |
| Inter-modality Discordance for Multimodal Fake News Detection S Singhal, M Dhawan, RR Shah, P Kumaraguru ACM International Conference on Multimedia in Asia (MM Asia), 2021 | 12 | 2021 |
| Aspect-based sentiment analysis of financial headlines and microblogs S Shahid, S Singhal, D Mahata, P Kumaraguru, RR Shah Deep Learning-Based Approaches for Sentiment Analysis, 111-137, 2020 | 5 | 2020 |
| Fake news in India: scale, diversity, solution, and opportunities S Singhal, R Kaushal, RR Shah, P Kumaraguru Communications of the ACM 65 (11), 80-81, 2022 | 4 | 2022 |
Rajiv Ratn SHAHAssociate Professor, IIIT-Delhi在 iiitd.ac.in 的电子邮件经过验证
