Publications
(Conferences + Journals)
(Conferences + Journals)
Shakshi Sharma, Anwitaman Datta, and Rajesh Sharma. “AMIR: Automated MisInformation Rebuttal — A COVID-19 Vaccination Datasets based Recommendation System.” IEEE Transactions on Computational Social Systems, 2024. [Impact Factor: 5, SCIE, Q1, Scopus-indexed] [PDF]
Shakshi Sharma, Rajesh Sharma, and Anwitaman Datta. “Mis(leading) the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic.” IEEE Transactions on Computational Social Systems, 2022. [Impact Factor: 5, SCIE, Q1, Scopus-indexed] [PDF]
Sabur Butt, Shakshi Sharma (Equal Contribution), Rajesh Sharma, Grigori Sidorov, and Alexander Gelbukh.“What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses." Computers in Human Behavior, 2022. [Impact Factor: 9.9, SSCI, Q1] [PDF]
Mudit Dhawan, Shakshi Sharma (Equal Contribution), Aditya Kadam, Rajesh Sharma, and Ponnurangam Kumaraguru. “GAME-ON: Graph Attention Network based Multimodal Fusion for Fake News Detection.” Social Network Analysis and Mining (SNAM) Springer, 2024. [Impact Factor: 2.8, ESCI, Scopus-indexed] [PDF]
Vijayachitra Modhukur, Shakshi Sharma, Mainak Mondal, Ankita Lawarde, Keiu Kask, Rajesh Sharma, Andres Salumets. “Machine Learning Approaches to Classify Primary and Metastatic Cancers Using Tissue of Origin-Based DNA Methylation Profiles.” Cancers, 2021. [Impact Factor: 5, SCIE, Q1, Scopus-indexed] [PDF]
Sander Sõna, Jaan Masso, Shakshi Sharma, Priit Vahter, and Rajesh Sharma. "The analysis of firm web data for predicting company innovativeness: a comparison across different types of innovation." Journal of Business Analytics,Taylor & Francis, 2024. [ESCI, Scopus-indexed] [PDF]
Ruby Chauhan, Shakshi Sharma, and Anjali Goyal. "DENATURE: duplicate detection and type identification in open source bug repositories." International Journal of System Assurance Engineering and Management, 2023. [ESCI, Scopus-indexed] [PDF]
Jigyasa Verma, Shakshi Sharma and Rahul Goel. “BhashaHMPV: Multilingual HMPV News Articles Dataset for Indian Regional Languages.” Accepted at IEEE TEMSMET 2025 Conference. Preprint Available at [PDF] [Dataset]
Shakshi Sharma, Anwitaman Datta, Vigneshwaran Shankaran, and Rajesh Sharma. “Misinformation Concierge: A proof-of-concept with curated Twitter dataset on COVID-19 vaccination." Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023. [Rank A] [PDF] [Demo]
Shakshi Sharma, Ekanshi Agrawal, Rajesh Sharma, and Anwitaman Datta. “FaCov: COVID-19 Viral News and Rumors Fact-Check Articles Dataset.” Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 2022. [Rank A] [PDF] [Poster] [Video]
Mayank, Mohit, Shakshi Sharma, and Rajesh Sharma. "DEAP-FAKED: Knowledge graph based approach for fake news detection." IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2022. [Rank B] [PDF]
Shakshi Sharma, and Rajesh Sharma. “Identifying possible rumor spreaders on twitter: A weak supervised learning approach." International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. [Rank B] [PDF]
Shakshi Sharma, and Rajesh Sharma. “Forecasting Transactional Amount in Bitcoin Network Using Temporal GNN Approach.” IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020. [Rank B] [PDF]
Shakshi Sharma, and Anjali Goyal. “Automated Essay Grading: An Empirical Analysis of Ensemble Learning Techniques.” International Conference on Computational Methods and Data Engineering (ICDME), Springer, 2020. [PDF]
Palak Khurana, Shakshi Sharma, and Anjali Goyal. “Heart Disease Diagnosis: Performance Evaluation of Supervised Machine Learning and Feature Selection Techniques.” International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2021. [PDF]
Shakshi Sharma, Akanksha Juneja, and Nonita Sharma. “Using Deep Convolutional Neural Network in Computer Vision for Real-World Scene Classification.” IEEE International Advance Computing Conference (IACC), 2018. [PDF]
Jigyasa Patra, Kohina Ramkumar Bhande, Ishika Tanwar and Shakshi Sharma. “GENIE: Benchmark Datasets for GENder Inclusive English-to-Hindi Translation.” Preprint Available at [PDF] [Dataset]
Shakshi Sharma, Yida Mu, Nikolaos Aletras, and Rajesh Sharma. “BLUFF: Behavioral Characterization of Misinformation Imposters and Active Citizens on Online Social Media.” Preprint Available at [PDF]
Yu-Chen Yang, Shakshi Sharma, and Rajesh Sharma. “Exposing the Behavior of Rumour Spreaders on Twitter: Targeted vs. Non-Targeted Rumour.” Preprint Available at [PDF]
Shakshi Sharma, Anjali Goyal, Naman Ahuja, Bibhudutta Pati, Rajesh Sharma, and Ponnurangam Kumaraguru. “From Noise to Knowledge: Distill Social Media Opinions on Rumor Detection Exploiting LLMs.” Preprint Available at [PDF]
Raj Jagtap, Abhinav Kumar, Rahul Goel, Shakshi Sharma, Rajesh Sharma, and Clint P George. “Misinformation Detection on YouTube Using Video Captions.” arXiv preprint arXiv:2107.00941 [PDF]