Publication Details
Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles
SRBA Ivan, MÓRO Róbert, TOMLEIN Matúš, PECHER Branislav, ŠIMKO Jakub, ŠTEFANCOVÁ Elena, KOMPAN Michal, HRČKOVÁ Andrea, PODROUŽEK Juraj, GAVORNÍK Adrián and BIELIKOVÁ Mária. Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles. ACM Transactions on Recommender Systems, vol. 1, no. 1, 2023, pp. 1-33. ISSN 2770-6699. Available from: https://dl.acm.org/doi/10.1145/3568392
Czech title
Auditovanie algoritmu odporúčania na YouTube pre dezinformačné filtračné bubliny
Type
journal article
Language
english
Authors
Srba Ivan ()
Móro Róbert ()
Tomlein Matúš ()
Pecher Branislav, Ing. (DCGM FIT BUT)
Šimko Jakub, doc. Ing., Ph.D. (DCGM FIT BUT)
Štefancová Elena ()
Kompan Michal, doc. Ing., Ph.D. (DCGM FIT BUT)
Hrčková Andrea ()
Podroužek Juraj ()
Gavorník Adrián ()
Bieliková Mária, prof. Ing., PhD. (DCGM FIT BUT)
Móro Róbert ()
Tomlein Matúš ()
Pecher Branislav, Ing. (DCGM FIT BUT)
Šimko Jakub, doc. Ing., Ph.D. (DCGM FIT BUT)
Štefancová Elena ()
Kompan Michal, doc. Ing., Ph.D. (DCGM FIT BUT)
Hrčková Andrea ()
Podroužek Juraj ()
Gavorník Adrián ()
Bieliková Mária, prof. Ing., PhD. (DCGM FIT BUT)
URL
Keywords
Audit, recommender systems, filter bubble, misinformation, personalization, automatic labeling, ethics, YouTube
Published
2023
Pages
1-33
Journal
ACM Transactions on Recommender Systems, vol. 1, no. 1, ISSN 2770-6699
Book
ACM Transactions on Recommender Systems
Publisher
Association for Computing Machinery
DOI
BibTeX
@ARTICLE{FITPUB12711, author = "Ivan Srba and R\'{o}bert M\'{o}ro and Mat\'{u}\v{s} Tomlein and Branislav Pecher and Jakub \v{S}imko and Elena \v{S}tefancov\'{a} and Michal Kompan and Andrea Hr\v{c}kov\'{a} and Juraj Podrou\v{z}ek and Adri\'{a}n Gavorn\'{i}k and M\'{a}ria Bielikov\'{a}", title = "Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles", pages = "1--33", booktitle = "ACM Transactions on Recommender Systems", journal = "ACM Transactions on Recommender Systems", volume = 1, number = 1, year = 2023, ISSN = "2770-6699", doi = "10.1145/3568392", language = "english", url = "https://www.fit.vut.cz/research/publication/12711" }