Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems

Transfer from social to semantic web brought us to an era of algorithmic society, placing issues such as privacy, big data and AI in the spotlight. although neutral by their nature, the power of big data algorithms to impact societies became major concern outcoming with fines issued to Facebook in t...

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Autores principales: Ljubiša Bojić, Maja Zarić, Simona Žikić
Formato: article
Lenguaje:EN
FR
SR
Publicado: University of Belgrade 2021
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Acceso en línea:https://doaj.org/article/7b929030a1e143f5b8118c24c725bbb5
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spelling oai:doaj.org-article:7b929030a1e143f5b8118c24c725bbb52021-11-17T19:15:42ZWorrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems10.21301/eap.v16i3.130353-15892334-8801https://doaj.org/article/7b929030a1e143f5b8118c24c725bbb52021-11-01T00:00:00Zhttps://www.eap-iea.org/index.php/eap/article/view/207https://doaj.org/toc/0353-1589https://doaj.org/toc/2334-8801Transfer from social to semantic web brought us to an era of algorithmic society, placing issues such as privacy, big data and AI in the spotlight. although neutral by their nature, the power of big data algorithms to impact societies became major concern outcoming with fines issued to Facebook in the US. These events were initiated by alleged breaches of data privacy connected to recommender system technology, which can provide individualized content to internet users. This paper seeks to explain recommender systems, while elaborating on their social effects, to conclude that their overall impacts might be increase in retail sales, democratization of advertising, increase in internet addictions, social polarization (echo chamber issue), and improvement of political communication. Also, more research should be deployed into low intensity addictions, as potential outcome of recommender systems, and it should be explored how they affect political participation and democracy. Ljubiša BojićMaja ZarićSimona ŽikićUniversity of Belgradearticlerecommender systemsaibig datainternet addictionecho chamberAnthropologyGN1-890ENFRSREtnoantropološki Problemi, Vol 16, Iss 3 (2021)
institution DOAJ
collection DOAJ
language EN
FR
SR
topic recommender systems
ai
big data
internet addiction
echo chamber
Anthropology
GN1-890
spellingShingle recommender systems
ai
big data
internet addiction
echo chamber
Anthropology
GN1-890
Ljubiša Bojić
Maja Zarić
Simona Žikić
Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems
description Transfer from social to semantic web brought us to an era of algorithmic society, placing issues such as privacy, big data and AI in the spotlight. although neutral by their nature, the power of big data algorithms to impact societies became major concern outcoming with fines issued to Facebook in the US. These events were initiated by alleged breaches of data privacy connected to recommender system technology, which can provide individualized content to internet users. This paper seeks to explain recommender systems, while elaborating on their social effects, to conclude that their overall impacts might be increase in retail sales, democratization of advertising, increase in internet addictions, social polarization (echo chamber issue), and improvement of political communication. Also, more research should be deployed into low intensity addictions, as potential outcome of recommender systems, and it should be explored how they affect political participation and democracy.
format article
author Ljubiša Bojić
Maja Zarić
Simona Žikić
author_facet Ljubiša Bojić
Maja Zarić
Simona Žikić
author_sort Ljubiša Bojić
title Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems
title_short Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems
title_full Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems
title_fullStr Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems
title_full_unstemmed Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems
title_sort worrying impact of artificial intelligence and big data through the prism of recommender systems
publisher University of Belgrade
publishDate 2021
url https://doaj.org/article/7b929030a1e143f5b8118c24c725bbb5
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AT majazaric worryingimpactofartificialintelligenceandbigdatathroughtheprismofrecommendersystems
AT simonazikic worryingimpactofartificialintelligenceandbigdatathroughtheprismofrecommendersystems
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