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Artykuł podejmuje zagadnienie baniek filtrujących informacje w świecie mediów cyfrowych. Poprzez liczne odwołania do wiodących teorii socjologiczno-medioznawczych w tekście omówiono zarys zjawiska dopasowywania treści do preferencji użytkowników na przykładzie działań podejmowanych przez Facebooka, wiodący serwis społecznościowy.
The aim of the article is to analyze the relations between the Facebook’s content filter algorithm system and the filter bubble effect – a digital bubble that surrounds a user with personalized content and information, also isolating him from the information that does not fir his viewpoint. The Facebook’s content filter algorithm – also known as EdgeRank – is controversial due to its mechanism that...
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