M\v{e}j P\v{r}ehled / Be informed
Michal Bravansky, Jan Platos

TL;DR
This paper presents an automated system designed to extract essential news content and republish it on social media, addressing challenges of information overload and trustworthiness in news sources.
Contribution
It introduces a novel automated system for extracting and republishing trustworthy news content on social media platforms.
Findings
Effective extraction of key news content demonstrated
Improved trustworthiness of shared news content
Facilitated access for young users to reliable information
Abstract
The amount of information available to the general public is enormous, and it is challenging to extract meaningful and reliable content. The availability of news sources and their trustability are the biggest problems for selecting the proper authority. Moreover, news providers' inability to publish good news on social media creates a gap for young people to access trustworthy information. This article describes an automated system that can extract the essential news and publish them in a different form on social media networks.
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Taxonomy
TopicsEducation, Psychology, and Social Research
