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.

Antologi

• Jia-Hua Jeng (2024). Bridging Viewpoints in News with Recommender Systems. (ekstern lenke)

Vitenskapelig bokkapittel

• Jia-Hua Jeng; Gloria Anne Babile Kasangu; Alain Dominique Starke et al. (2024). Emotional Reframing of Economic News using a Large Language Model. (ekstern lenke)
• Jia-Hua Jeng; Alain Dominique Starke; Christoph Trattner (2023). Towards Attitudinal Change in News Recommender Systems: A Pilot Study on Climate Change. (ekstern lenke)
• Jia-Hua Jeng; Gloria Anne Babile Kasangu; Alain Dominique Starke et al. (2025). The role of GPT as an adaptive technology in climate change journalism. (ekstern lenke)

Vitenskapelig artikkel

• Jia-Hua Jeng; Gloria Anne Babile Kasangu; Alain Dominique Starke et al. (2024). Negativity Sells? Using an LLM to Affectively Reframe News Articles in a Recommender System. (ekstern lenke)
• Jørgen Eknes-Riple; Jia-Hua Jeng; Alain Dominique Starke et al. (2025). Hope, Fear, or Anger? How Emotional Framing in a News Recommender System Guides User Preferences. (ekstern lenke)

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