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Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms
U: Proceedings of the 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology. Tirana: University of Tirana, Faculty of Natural Sciences, Department of Informatics, 2023. str. 63-71. urn:nbn:hr:277:764970
Pisker, Barbara; Đokić, Kristian; Martinović, Marko

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Pisker, B., Đokić, K. i Martinović, M. (2023). Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms. Proceedings of the 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology (str. 63-71). Tirana: University of Tirana, Faculty of Natural Sciences, Department of Informatics. Preuzeto s https://urn.nsk.hr/urn:nbn:hr:277:764970

Pisker, Barbara, et al. "Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms." Proceedings of the 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology, University of Tirana, Faculty of Natural Sciences, Department of Informatics, 2023, str. 63-71. https://urn.nsk.hr/urn:nbn:hr:277:764970

Pisker, Barbara, Kristian Đokić i Marko Martinović. "Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms." U Proceedings of the 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology, 63-71. Tirana: University of Tirana, Faculty of Natural Sciences, Department of Informatics, 2023. Citirano 24.05.2024.. https://urn.nsk.hr/urn:nbn:hr:277:764970

Pisker, B., Đokić, K. i Martinović, M. (2023) 'Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms', Proceedings of the 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology, University of Tirana, Faculty of Natural Sciences, Department of Informatics, Tirana, str. 63-71. Preuzeto s: https://urn.nsk.hr/urn:nbn:hr:277:764970 (Datum pristupa: 24.05.2024.)

Pisker B, Đokić K, Martinović M. Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms. Proceedings of the 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology. Tirana: University of Tirana, Faculty of Natural Sciences, Department of Informatics; 2023. Str. 63-71. [pristupljeno 24.05.2024.] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:277:764970

B. Pisker, K. Đokić i M. Martinović, "Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms", Proceedings of the 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology Tirana: University of Tirana, Faculty of Natural Sciences, Department of Informatics, 2023. [Online] Dostupno na: https://urn.nsk.hr/urn:nbn:hr:277:764970 [Citirano: 24.05.2024.]

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Podaci o radu
Naslov (engleski)Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms
AutorBarbara Pisker
AutorKristian Đokić
AutorMarko Martinović
Autorova ustanovaSveučilište Josipa Jurja Strossmayera u Osijeku
Fakultet turizma i ruralnog razvoja u Požegi
Znanstveno / umjetničko
područje, polje i grana		DRUŠTVENE ZNANOSTI
Informacijske i komunikacijske znanosti
Znanstveno / umjetničko
područje, polje i grana		DRUŠTVENE ZNANOSTI
Sociologija
Sažetak (engleski)
This paper focuses on the issue of image search engine results, which many authors claim are the result of biases, thereby multiplying those same biases. The Google search engine was analysed, where images of women from nine countries of the European Union were searched, but using three different languages to generate queries. In this way, we tried to compare the prejudices of other language groups reflected in the results obtained using the search engine. Two thousand seven hundred images of women were collected, and to quantify the results, an artificial intelligence algorithm was used to calculate the probability of nudity in the image. The hypothesis that there is no difference between the perception of women for a particular country by English, Chinese and Russian language users was generally rejected because there are statistically significant differences in 6 out of 9 countries.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov zbornikaProceedings of the 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology
Brojčani podacistr. 63-71
e-ISSN1613-0073
URN:NBNurn:nbn:hr:277:764970
Datum objave publikacije2023
SkupNaziv: 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology
Lokacija: Tirana, Albanija
Datum početka: 2023-04-26
Datum završetka: 2023-04-27
Vrsta izlaganja: Predavanje
URL dokumentahttps://ceur-ws.org/Vol-3402/paper08.pdf
Vrsta resursaTekst
IzdavačUniversity of Tirana, Faculty of Natural Sciences, Department of Informatics
Mjesto izdavanjaTirana
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
RepozitorijFTRR Repozitorij
Datum i vrijeme pohrane2024-03-21 09:38:38