Research output per year
Research output per year
Personal profile
University web profile link
Research interests
My research interests focus on developing innovative deep transfer learning and fair machine learning algorithms to mitigate online harm, such as cyberbullying, disinformation, and misinformation. I am particularly passionate about creating unbiased and transparent AI solutions that enhance responsible decision-making in online social platforms. My work involves exploring robust techniques to detect and prevent harmful content while maintaining fairness, interpretability, and adaptability across diverse social media platforms.
Related documents
Education/Academic qualification
Engineering, Doctorate, Cyberbullying Detection Across Different Social Media Platforms, Queen Mary University of London
2021 → 2025
Award Date: 5 Sept 2025
Engineering, Master, Software Engineering, Queen Margaret University
2018 → 2019
Award Date: 1 Sept 2019
Business, Master, Engineering Management, Chinese Academy of Sciences
2000 → 2003
Award Date: 1 Sept 2003
Engineering, Bachelor, Computer Science, Hefei University of Technology
1994 → 1998
Award Date: 1 Sept 1998
Recognised by Advance HE as an Associate Fellow against Descriptor 1 of the UKPSF
Keywords
- QA75 Electronic computers. Computer science
- NLP
- Decision Making
- Debias
- H Social Sciences (General)
- Online harm detection and prevention
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Collaborations and top research areas from the last five years
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Research output
- 1 Preprint
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From fact verification to understanding misleadingness: a survey and roadmap on reader-centric multimodal misinformation detection
Yi, P. & Zubiaga, A., 18 Feb 2026, TechRxiv, 41 p.Research output: Working paper › Preprint
Open Access