| From Retweet to Believability: Utilizing Trust to Identify Rumor Spreaders on Twitter B Rath, W Gao, J Ma, J Srivastava The 2017 IEEE/ACM International Conference on Advances in Social Networks …, 2017 | 87 | 2017 |
| Utilizing computational trust to identify rumor spreaders on Twitter B Rath, W Gao, J Ma, J Srivastava Social Network Analysis and Mining 8 (1), 64, 2018 | 28 | 2018 |
| Detecting fake news spreaders in social networks using inductive representation learning B Rath, A Salecha, J Srivastava 2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020 | 26 | 2020 |
| You reap where you sow: a trust-based approach to initial seeding for viral advertising J Huh, H Kim, B Rath, X Lu, J Srivastava International Journal of Advertising 39 (7), 963-989, 2020 | 25 | 2020 |
| Evaluating vulnerability to fake news in social networks: A community health assessment model B Rath, W Gao, J Srivastava Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 21 | 2019 |
| SCARLET: Explainable Attention based Graph Neural Network for Fake News spreader prediction B Rath, X Morales, J Srivastava Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, 2021), 2021 | 18 | 2021 |
| Fake news spreader detection using trust-based strategies in social networks with bot filtration B Rath, A Salecha, J Srivastava Social network analysis and mining 12 (1), 66, 2022 | 10 | 2022 |
| Impact of news organizations' trustworthiness and social media activity on audience engagement B Rath, J Kim, J Huh, J Srivastava arXiv preprint arXiv:1808.09561, 2018 | 7 | 2018 |
| Behavioral Forensics in Social Networks: Identifying Misinformation, Disinformation and Refutation Spreaders Using Machine Learning EM Khan, A Ram, B Rath, E Vraga, J Srivastava arXiv preprint arXiv:2305.00957, 2023 | 3 | 2023 |
| Relationship between citizen-eyewitness images and audience engagement with news J Kim, J Huh, B Rath, A Salecha, J Srivastava Journalism Practice 16 (8), 1774-1794, 2022 | 3 | 2022 |
| Epidemiology Inspired Framework for Fake News Mitigation in Social Networks B Rath, J Srivastava Proceedings of the CIKM 2020 Workshops., 2020 | 2 | 2020 |
| Spreader-Centric Fake News Mitigation Framework Based on Epidemiology B Rath, J Srivastava Disease Control Through Social Network Surveillance, 31-54, 2022 | 1 | 2022 |
| From retweet to believability: Utilizing trust to identify rumor spreaders on Twitter.(2017) B RATH, W GAO, J MA, J SRIVASTAVA Proceedings of the IEEE/ACM International Conference on Advances in Social …, 0 | 1 | |
| GRAINRec: Graph and Attention Integrated Approach for Real-Time Session-Based Item Recommendations B Rath, P Chennu, D Relyea, PK Reddy, A Pande arXiv preprint arXiv:2411.09152, 2024 | | 2024 |
| Behavioral forensics in social networks EM Khan, A Ram, B Rath, J Srivastava, E Vraga US Patent App. 18/540,131, 2024 | | 2024 |
| Automatic population of item recommendations in retail website in response to item selections B Rath, A Pande US Patent App. 18/357,648, 2024 | | 2024 |
| Behavioral Forensics in Social Networks: Identifying Misinformation, Disinformation and Refutation Spreaders Using Machine Learning E Mehnaz Khan, A Ram, B Rath, E Vraga, J Srivastava arXiv e-prints, arXiv: 2305.00957, 2023 | | 2023 |
| Assessing Individual and Community Vulnerability to Fake News in Social Networks B Rath, W Gao, J Srivastava arXiv preprint arXiv:2102.02434, 2021 | | 2021 |
| Epidemiology Inspired Framework for False Information Mitigation in Social Networks B Rath University of Minnesota, 2020 | | 2020 |
| Program Committee DSAA’2022 A Rodriguez, A Leite, AM Fard, A Chaturvedi, A Mondal, A Beer, ... | | |
Jaideep SrivastavaProfessor, University of MinnesotaVerified email at umn.edu