TY  - JOUR
AU  - Bojić, Ljubiša
AU  - Zarić, Maja
AU  - Žikić, Simona
PY  - 2022
UR  - http://rifdt.instifdt.bg.ac.rs/123456789/2629
AB  - 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.
PB  - Beograd: Filozofski fakultet
T2  - Etnoantropološki problemi
T1  - Worrying impact of artificial intelligence and big data through the prism of recommender systems
IS  - 3
VL  - 16
SP  - 935
EP  - 957
DO  - 10.21301/eap.v16i3.13
ER  - 

@article{
author = "Bojić, Ljubiša and Zarić, Maja and Žikić, Simona",
year = "2022",
abstract = "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.",
publisher = "Beograd: Filozofski fakultet",
journal = "Etnoantropološki problemi",
title = "Worrying impact of artificial intelligence and big data through the prism of recommender systems",
number = "3",
volume = "16",
pages = "935-957",
doi = "10.21301/eap.v16i3.13"
}

Bojić, L., Zarić, M.,& Žikić, S.. (2022). Worrying impact of artificial intelligence and big data through the prism of recommender systems. in Etnoantropološki problemi
Beograd: Filozofski fakultet., 16(3), 935-957.
https://doi.org/10.21301/eap.v16i3.13

Bojić L, Zarić M, Žikić S. Worrying impact of artificial intelligence and big data through the prism of recommender systems. in Etnoantropološki problemi. 2022;16(3):935-957.
doi:10.21301/eap.v16i3.13 .

Bojić, Ljubiša, Zarić, Maja, Žikić, Simona, "Worrying impact of artificial intelligence and big data through the prism of recommender systems" in Etnoantropološki problemi, 16, no. 3 (2022):935-957,
https://doi.org/10.21301/eap.v16i3.13 . .

TY  - JOUR
AU  - Bojić, Ljubiša
AU  - Zarić, Maja
AU  - Žikić, Simona
PY  - 2021
UR  - http://rifdt.instifdt.bg.ac.rs/123456789/2362
AB  - 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.
PB  - Faculty of Philosophy, University of Belgrade, Department of Ethnology and Anthropology
T2  - Issues in Ethnology and Anthropology
T1  - Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems
IS  - 3
VL  - 16
SP  - 935
EP  - 957
DO  - 10.21301/eap.v16i3.13
ER  - 

@article{
author = "Bojić, Ljubiša and Zarić, Maja and Žikić, Simona",
year = "2021",
abstract = "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.",
publisher = "Faculty of Philosophy, University of Belgrade, Department of Ethnology and Anthropology",
journal = "Issues in Ethnology and Anthropology",
title = "Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems",
number = "3",
volume = "16",
pages = "935-957",
doi = "10.21301/eap.v16i3.13"
}

Bojić, L., Zarić, M.,& Žikić, S.. (2021). Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems. in Issues in Ethnology and Anthropology
Faculty of Philosophy, University of Belgrade, Department of Ethnology and Anthropology., 16(3), 935-957.
https://doi.org/10.21301/eap.v16i3.13

Bojić L, Zarić M, Žikić S. Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems. in Issues in Ethnology and Anthropology. 2021;16(3):935-957.
doi:10.21301/eap.v16i3.13 .

Bojić, Ljubiša, Zarić, Maja, Žikić, Simona, "Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems" in Issues in Ethnology and Anthropology, 16, no. 3 (2021):935-957,
https://doi.org/10.21301/eap.v16i3.13 . .