Qin Ruan

According to our database, Qin Ruan authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms.

Qin Ruan, Jin Xu, Ruihai Dong, Arjumand Younus, Tai Tan Mai, Barry O'Sullivan, Susan Leavy

CoRR, 2024

The Effects of Media Bias on News Recommendations.

Qin Ruan, Brian Mac Namee, Ruihai Dong

IEEE Access, 2024

Rewriting Bias: Mitigating Media Bias in News Recommender Systems through Automated Rewriting.

Qin Ruan, Jin Xu, Susan Leavy, Brian Mac Namee, Ruihai Dong

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

2023

The Influence of Media Bias on News Recommender Systems.

Qin Ruan, Brian Mac Namee, Ruihai Dong

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Unveiling the Relationship Between News Recommendation Algorithms and Media Bias: A Simulation-Based Analysis of the Evolution of Bias Prevalence.

Qin Ruan, Brian Mac Namee, Ruihai Dong

Proceedings of the Artificial Intelligence XL, 2023

Reducing Media Bias in News Headlines.

Qin Ruan, Brian Mac Namee, Ruihai Dong

Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

2021

Pseudo-labelling Enhanced Media Bias Detection.

Qin Ruan, Brian Mac Namee, Ruihai Dong

CoRR, 2021

Bias Bubbles: Using Semi-Supervised Learning to Measure How Many Biased News Articles Are Around Us.

Qin Ruan, Brian Mac Namee, Ruihai Dong

Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021