The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force

Recommender algorithms shape societies by individually exposing online users to everything they see, hear and feel in real time. We examine the development of recommender algorithms from the Page Rank and advertising platforms to social media trending tools to draw conclusions about their social ef...

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Main Authors: Ljubiša Bojić, Aleksandra Bulatović, Simona Žikić
Format: Article
Language:English
Published: University of Belgrade 2022-10-01
Series:Etnoantropološki Problemi
Subjects:
Online Access:https://www.eap-iea.org/index.php/eap/article/view/1090
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author Ljubiša Bojić
Aleksandra Bulatović
Simona Žikić
author_facet Ljubiša Bojić
Aleksandra Bulatović
Simona Žikić
author_sort Ljubiša Bojić
collection DOAJ
description Recommender algorithms shape societies by individually exposing online users to everything they see, hear and feel in real time. We examine the development of recommender algorithms from the 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.
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spelling doaj.art-ff7042492f784880a825062c179524122023-04-19T17:07:17ZengUniversity of BelgradeEtnoantropološki Problemi0353-15892334-88012022-10-0117210.21301/eap.v17i2.11The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social ForceLjubiša Bojić0Aleksandra Bulatović1Simona Žikić2Institute for Philosophy and Social Theory, Digital Society Lab, University of Belgrade, Serbia Institute for Philosophy and Social Theory, University of Belgrade, SerbiaFaculty for Media and Communication, Singidunum University, Belgrade, Serbia Recommender algorithms shape societies by individually exposing online users to everything they see, hear and feel in real time. We examine the development of recommender algorithms from the 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. https://www.eap-iea.org/index.php/eap/article/view/1090mass mediasocial polarizationecho chambersnegative newsrecommender systems
spellingShingle Ljubiša Bojić
Aleksandra Bulatović
Simona Žikić
The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
Etnoantropološki Problemi
mass media
social polarization
echo chambers
negative news
recommender systems
title The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
title_full The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
title_fullStr The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
title_full_unstemmed The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
title_short The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
title_sort scary black box ai driven recommender algorithms as the most powerful social force
topic mass media
social polarization
echo chambers
negative news
recommender systems
url https://www.eap-iea.org/index.php/eap/article/view/1090
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