Exploring Efficient News Aggregation Development for the Hungarian Language

Abstract

In recent years, the rise of digital media has fundamentally transformed information consumption habits. The mass of content generated by social platforms and online news portals makes it increasingly difficult to obtain information from reliable, objective sources. The spread of fake news, the dominance of radical views and click-oriented media phenomena distort public discourse, making critical thinking difficult. The article presents the development of a Hungarian-language news aggregation system that not only collects news from different sources, but also helps their interpretation and transparency with its analytical functions. The goal is to create a technological solution that supports users in the conscious and critical processing of information, contributing to balanced information in the Hungarian-language media space.