News articles similarity for automatic media bias detection in Polish news portals
Journal Title: Annals of Computer Science and Information Systems - Year 2018, Vol 15, Issue
Abstract
Digital media have enormous impact on the public opinion. In the ideal world the news in public media should be presented in a fair and impartial way. In practice the information presented in digital media is often biased and may distort the opinion on a given entity/event or concept. It is important to work on tools that could support the detection and analysis of the information bias. One of the first steps it to study the methods of automatic detection of the articles reporting on the same topic, event or entity to further use them in comparative analysis or building a test or training set.
Authors and Affiliations
Katarzyna Baraniak, Marcin Sydow
Keywords
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- EP ID EP569783
- DOI 10.15439/2018F359
- Views 34
- Downloads 0
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