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dc.creatorBojić, Ljubiša
dc.creatorBulatović, Aleksandra
dc.creatorŽikić, Simona
dc.date.accessioned2022-12-23T10:05:10Z
dc.date.available2022-12-23T10:05:10Z
dc.date.issued2022
dc.identifier.urihttp://rifdt.instifdt.bg.ac.rs/123456789/2716
dc.description.abstractRecommender algorithms shape societies by individually expo sing online users to everything they see, hear and feel in real time. We examine the development of recommender algorithms from t he Page Rank and advertising platforms to social media trending tools to draw conclusions about their social effects. Decisions on how to simplify the complex world around us into dozens of possibilities immensely affect societies and individuals. Similar to our perceptive apparatus, algorithms are eyes and ears in the online world, as they focus our attention towards what they „think” should be important, which is similar to news priming. That is why recommender algorithms are compared to mass media, given their similar roles to sell products and prolong content exposure of online users. This inquiry concludes that AI driven recommender algorithms represent the most powerful social force at present.sr
dc.language.isoensr
dc.publisherFilozofski fakultet Univerziteta u Beogradu, Odeljenje za etnologiju i antropologijusr
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200025/RS//sr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceEtnoantropološki problemisr
dc.subjectrecommender systemssr
dc.subjectmass mediasr
dc.subjectsocial polarizationsr
dc.subjectecho chamberssr
dc.subjectnegative newssr
dc.titleThe Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Forcesr
dc.typearticlesr
dc.rights.licenseBYsr
dc.citation.issue2
dc.citation.volume17
dc.identifier.doi10.21301/eap.v17i2.11
dc.type.versionpublishedVersionsr
dc.identifier.fulltexthttp://rifdt.instifdt.bg.ac.rs/bitstream/id/9479/bitstream_9479.pdf


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