| Twibot-20: A comprehensive twitter bot detection benchmark S Feng, H Wan, N Wang, J Li, M Luo Proceedings of the 30th ACM international conference on information …, 2021 | 95 | 2021 |
| BotRGCN: Twitter bot detection with relational graph convolutional networks S Feng, H Wan, N Wang, M Luo Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021 | 73 | 2021 |
| Twibot-22: Towards graph-based twitter bot detection S Feng, Z Tan, H Wan, N Wang, Z Chen, B Zhang, Q Zheng, W Zhang, ... Advances in Neural Information Processing Systems 35, 35254-35269, 2022 | 58 | 2022 |
| Satar: A self-supervised approach to twitter account representation learning and its application in bot detection S Feng, H Wan, N Wang, J Li, M Luo Proceedings of the 30th ACM International Conference on Information …, 2021 | 48 | 2021 |
| BotPercent: Estimating Bot Populations in Twitter Communities Z Tan, S Feng, M Sclar, H Wan, M Luo, Y Choi, Y Tsvetkov arXiv preprint arXiv:2302.00381, 2023 | 17* | 2023 |
| Bic: Twitter bot detection with text-graph interaction and semantic consistency Z Lei, H Wan, W Zhang, S Feng, Z Chen, J Li, Q Zheng, M Luo arXiv preprint arXiv:2208.08320, 2022 | 17 | 2022 |
| Grato: Graph neural network framework tackling over-smoothing with neural architecture search X Feng, H Wan, S Feng, H Wang, Q Zheng, J Zhou, M Luo Proceedings of the 31st ACM International Conference on Information …, 2022 | 3 | 2022 |
| DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection H Wan, S Feng, Z Tan, H Wang, Y Tsvetkov, M Luo arXiv preprint arXiv:2402.10426, 2024 | 2 | 2024 |
| What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection S Feng, H Wan, N Wang, Z Tan, M Luo, Y Tsvetkov arXiv preprint arXiv:2402.00371, 2024 | 1 | 2024 |
