dc.creator | Bojić, Ljubiša | |
dc.creator | Bulatović, Aleksandra | |
dc.creator | Žikić, Simona | |
dc.date.accessioned | 2022-12-23T10:05:10Z | |
dc.date.available | 2022-12-23T10:05:10Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | http://rifdt.instifdt.bg.ac.rs/123456789/2716 | |
dc.description.abstract | Recommender 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.iso | en | sr |
dc.publisher | Filozofski fakultet Univerziteta u Beogradu, Odeljenje za etnologiju i antropologiju | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/inst-2020/200025/RS// | sr |
dc.rights | openAccess | sr |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Etnoantropološki problemi | sr |
dc.subject | recommender systems | sr |
dc.subject | mass media | sr |
dc.subject | social polarization | sr |
dc.subject | echo chambers | sr |
dc.subject | negative news | sr |
dc.title | The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force | sr |
dc.type | article | sr |
dc.rights.license | BY | sr |
dc.citation.issue | 2 | |
dc.citation.volume | 17 | |
dc.identifier.doi | 10.21301/eap.v17i2.11 | |
dc.type.version | publishedVersion | sr |
dc.identifier.fulltext | http://rifdt.instifdt.bg.ac.rs/bitstream/id/9479/bitstream_9479.pdf | |