prikaz prve stranice dokumenta Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms
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Scientific paper - Original scientific paper
Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms
In: 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. pp. 63-71. urn:nbn:hr:277:764970
Pisker, Barbara; Đokić, Kristian; Martinović, Marko

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Pisker, B., Đokić, K. & 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 (pp. 63-71). Tirana: University of Tirana, Faculty of Natural Sciences, Department of Informatics. Retrieved from 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, pp. 63-71. https://urn.nsk.hr/urn:nbn:hr:277:764970

Pisker, Barbara, Kristian Đokić and Marko Martinović. "Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms." In 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. Accessed 2024 December 21. https://urn.nsk.hr/urn:nbn:hr:277:764970

Pisker, B., Đokić, K. and 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, pp. 63-71. Available at: https://urn.nsk.hr/urn:nbn:hr:277:764970 (Accessed 21 December 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. Pp. 63-71. [cited 2024 December 21] Available at: https://urn.nsk.hr/urn:nbn:hr:277:764970

B. Pisker, K. Đokić and 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] Available at: https://urn.nsk.hr/urn:nbn:hr:277:764970 [Accessed: 21 December 2024]

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Metadata
Title (english)Measuring Search Engine Bias in European Women's Image Results using Machine Learning Algorithms
AuthorBarbara Pisker
AuthorKristian Đokić
AuthorMarko Martinović
Author's institutionJosip Juraj Strossmayer University of Osijek
Faculty of Tourism and Rural Development in Pozega
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Sociology
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Publication titleProceedings of the 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology
Numberingpp. 63-71
e-ISSN1613-0073
URN:NBNurn:nbn:hr:277:764970
Publication2023
ConferenceTitle: 5th International Conference on Recent Trends and Applications in Computer Science and Information Technology
Location: Tirana, Albania
Start date: 2023-04-26
End date: 2023-04-27
Assembly type: Lecture
Document URLhttps://ceur-ws.org/Vol-3402/paper08.pdf
Type of resourceText
PublisherUniversity of Tirana, Faculty of Natural Sciences, Department of Informatics
Publishing placeTirana
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-03-21 09:38:38