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Memorijalizacija prošlosti kroz umetničke forme: sećanje na partizanski pokret tokom i nakon Jugoslavije / Memorialization of the Past through Artistic Forms: Rememberance of the Partisan Movement during and after Yugoslavia
(Beograd: Odeljenje za etnologiju i antropologiju Filozofskog fakulteta u Beogradu, 2021)
Kulturni pristup studijama sećanja posebno naglašava važnost tekstualizacije i vizualizacije (kulturne medijacije) društveno deljenih sećanja na prošlost. Međutim, dok se akcenat prevashodno stavlja na pitanja ...
Worrying impact of artificial intelligence and big data through the prism of recommender systems
(Beograd: Filozofski fakultet, 2022)
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 ...
The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
(Filozofski fakultet Univerziteta u Beogradu, Odeljenje za etnologiju i antropologiju, 2022)
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 ...
Modeli rodne socijalizacije dečaka u porodicama u savremenoj Srbiji / Models of Boys’ Gender Socialization in Families in Modern-day Serbia
(Beograd: Odeljenje za etnologiju i antropologiju Filozofskog fakulteta u Beogradu, 2021)
This paper focuses on the process of gender socialization of boys, examined through parenting practices of mothers and fathers in the contemporary socio-cultural context of Serbia. The analysis is based on empirical material ...
The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
(Faculty of Philosophy, University of Belgrade – Department of Ethnology and Anthropology., 2022)
Recommender algorithms shape societies by individually exposing online users to everything they see, hear and feel online in real time. We examine development of recommender algorithms from the Page Rank and advertising ...