Jia-Hua Jeng is a PhD candidate in WP2 Computational Social Science at
MediaFutures and DARS research group. He received two master’s degrees from
King’s College London in MSc Data Science and National Taichung University of
Education in MSc Digital Content Technology, mainly for AI, Data Mining, Machine
Learning, Big Data, Data Analytics, Internet Marketing and Learning Science. 

His research interests are Recommender Systems, Data Science, and User Modelling in news media.

Academic anthology/Conference proceedings

• Jeng, Jia-Hua; Kasangu, Gloria Anne Babile; Starke, Alain Dominique et al. (2024). Emotional Reframing of Economic News using a Large Language Model. (external link)
• Jeng, Jia-Hua (2024). Bridging Viewpoints in News with Recommender Systems. (external link)

Academic chapter/article/Conference paper

• Jeng, Jia-Hua; Kasangu, Gloria Anne Babile; Starke, Alain Dominique et al. (2024). Emotional Reframing of Economic News using a Large Language Model. (external link)
• Jeng, Jia-Hua; Starke, Alain Dominique; Trattner, Christoph (2023). Towards Attitudinal Change in News Recommender Systems: A Pilot Study on Climate Change. (external link)

See a complete overview of publications in Cristin.