PUBLICATIONS
2022
[C6] Singhal, S., Shah, RR., and Kumaraguru, P. FactDrill: A Data Repository of Fact-checked Social Media Content to Study Fake News Incidents in India. In Proceedings of the 16th International AAAI Conference on Web and Social Media (ICWSM), June 6th-9th 2022, Atlanta, Georgia. [pdf] [dataset]
[J1] Singhal, Shivangi, Rishabh Kaushal, Rajiv Ratn Shah, and Ponnurangam Kumaraguru. "Fake news in India: scale, diversity, solution, and opportunities." Communications of the ACM 65, no. 11 (2022): 80-81. [pdf]
[C5] Singhal, S., Pandey, T., Mrig, S., Shah, RR., and Kumaraguru, P. Leveraging Intra and Inter Modality Relationship for Multimodal Fake News Detection. In Proceedings of the 1st International Workshop on Multimodal Understanding for the Web and Social Media (MUWS), co-located with The WebConf (WWW), April 25-29 2022. [pdf] [code] [slides]
2021
[C4] Singhal, S., Dhawan, M., Shah, RR., and Kumaraguru, P. Inter-modality Discordance for Multimodal Fake News Detection. In ACM Multimedia Asia (MMAsia ’21), December 1–3, 2021, Gold Coast, Australia. [pdf] [code] [slides] [poster]
2020
[C3] Singhal, S., Kabra, A., Sharma, M., Shah, RR., Chakraborty, T., and Kumaraguru, P., SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract). In Proceedings of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), February 7-12, 2020, New York, USA. [pdf] [code][poster] [dataset]
2019
[C2] Singhal, S., Shah, R., Chakraborty, T., Kumaraguru, P., and Satoh, S. SpotFake: A Multi-Modal Framework for Fake News Detection. Accepted at The Fifth IEEE International Conference on Multimedia Big Data (IEEE BigMM), September 11-13, 2019 Singapore. [pdf] [code] [slides] [poster] [Best Student Poster Award]
2018
[C1] Jangid, H., Singhal, S., Shah, R., and Zimmermann, R. 2018. Aspect-Based Financial Sentiment Analysis using Deep Learning. In Companion Proceedings of the The Web Conference 2018 (WWW '18). [pdf] [code]