| Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us. Q Ruan, B Mac Namee, R Dong AICS, 153-164, 2021 | 9 | 2021 |
| The influence of media bias on news recommender systems Q Ruan, B Mac Namee, R Dong Proceedings of the 31st ACM Conference on User Modeling, Adaptation and …, 2023 | 5 | 2023 |
| Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence Q Ruan, B Mac Namee, R Dong International Conference on Innovative Techniques and Applications of …, 2023 | 2 | 2023 |
| Pseudo-labelling enhanced media bias detection Q Ruan, B Mac Namee, R Dong arXiv preprint arXiv:2107.07705, 2021 | 2 | 2021 |
| Reducing Media Bias in News Headlines Q Ruan, B Mac Namee, R Dong 2023 31st Irish Conference on Artificial Intelligence and Cognitive Science …, 2023 | 1 | 2023 |
| ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms Q Ruan, J Xu, R Dong, A Younus, TT Mai, B O'Sullivan, S Leavy arXiv preprint arXiv:2409.12396, 2024 | | 2024 |
| Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting Q Ruan, J Xu, S Leavy, B Mac Namee, R Dong Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and …, 2024 | | 2024 |
| The Effects of Media Bias on News Recommendations Q Ruan, B Mac Namee, R Dong IEEE Access, 2024 | | 2024 |
Ruihai DongUCDVerified email at ucd.ie
