Personalized Summarization of Global News: Managing Bias with Large Language Models

As global information consumption accelerates, the demand for concise, relevant, and trustworthy news summaries has grown significantly. Large Language Models (LLMs) have demonstrated powerful capabilities in text summarization, yet current methods struggle to balance two critical goals: personalizi...

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Bibliographic Details
Main Author: Zahan, Tasnim
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:eng
Published: 2025
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/102950