Repository of The Institute for Philosophy and Social Theory
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   RIFDT
  • IFDT
  • Radovi istraživača
  • View Item
  •   RIFDT
  • IFDT
  • Radovi istraživača
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

Thumbnail
2022
bitstream_9479.pdf (353.3Kb)
Authors
Bojić, Ljubiša
Bulatović, Aleksandra
Žikić, Simona
Article (Published version)
Metadata
Show full item record
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.
Keywords:
recommender systems / mass media / social polarization / echo chambers / negative news
Source:
Etnoantropološki problemi, 2022, 17, 2
Publisher:
  • Filozofski fakultet Univerziteta u Beogradu, Odeljenje za etnologiju i antropologiju
Funding / projects:
  • Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200025 (University of Belgrade, Institute for Phylosophy and Social Theory) (RS-200025)

DOI: 10.21301/eap.v17i2.11

[ Google Scholar ]
URI
http://rifdt.instifdt.bg.ac.rs/123456789/2716
Collections
  • Radovi istraživača
Institution/Community
IFDT
TY  - JOUR
AU  - Bojić, Ljubiša
AU  - Bulatović, Aleksandra
AU  - Žikić, Simona
PY  - 2022
UR  - http://rifdt.instifdt.bg.ac.rs/123456789/2716
AB  - 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.
PB  - Filozofski fakultet Univerziteta u Beogradu, Odeljenje za etnologiju i antropologiju
T2  - Etnoantropološki problemi
T1  - The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
IS  - 2
VL  - 17
DO  - 10.21301/eap.v17i2.11
ER  - 
@article{
author = "Bojić, Ljubiša and Bulatović, Aleksandra and Žikić, Simona",
year = "2022",
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.",
publisher = "Filozofski fakultet Univerziteta u Beogradu, Odeljenje za etnologiju i antropologiju",
journal = "Etnoantropološki problemi",
title = "The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force",
number = "2",
volume = "17",
doi = "10.21301/eap.v17i2.11"
}
Bojić, L., Bulatović, A.,& Žikić, S.. (2022). The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force. in Etnoantropološki problemi
Filozofski fakultet Univerziteta u Beogradu, Odeljenje za etnologiju i antropologiju., 17(2).
https://doi.org/10.21301/eap.v17i2.11
Bojić L, Bulatović A, Žikić S. The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force. in Etnoantropološki problemi. 2022;17(2).
doi:10.21301/eap.v17i2.11 .
Bojić, Ljubiša, Bulatović, Aleksandra, Žikić, Simona, "The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force" in Etnoantropološki problemi, 17, no. 2 (2022),
https://doi.org/10.21301/eap.v17i2.11 . .

DSpace software copyright © 2002-2015  DuraSpace
About RIFDT | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceCommunitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About RIFDT | Send Feedback

OpenAIRERCUB