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Exploratory analysis of user-generated photos and indicators that influence their appeal

Urban Sedlar ; University of Ljubljana

Puni tekst: engleski, pdf (953 KB) str. 23-30 preuzimanja: 245* citiraj
APA 6th Edition
Sedlar, U. (2014). Exploratory analysis of user-generated photos and indicators that influence their appeal. Acta graphica, 25 (1-2), 23-30. Preuzeto s https://hrcak.srce.hr/138195
MLA 8th Edition
Sedlar, Urban. "Exploratory analysis of user-generated photos and indicators that influence their appeal." Acta graphica, vol. 25, br. 1-2, 2014, str. 23-30. https://hrcak.srce.hr/138195. Citirano 25.07.2021.
Chicago 17th Edition
Sedlar, Urban. "Exploratory analysis of user-generated photos and indicators that influence their appeal." Acta graphica 25, br. 1-2 (2014): 23-30. https://hrcak.srce.hr/138195
Harvard
Sedlar, U. (2014). 'Exploratory analysis of user-generated photos and indicators that influence their appeal', Acta graphica, 25(1-2), str. 23-30. Preuzeto s: https://hrcak.srce.hr/138195 (Datum pristupa: 25.07.2021.)
Vancouver
Sedlar U. Exploratory analysis of user-generated photos and indicators that influence their appeal. Acta graphica [Internet]. 2014 [pristupljeno 25.07.2021.];25(1-2):23-30. Dostupno na: https://hrcak.srce.hr/138195
IEEE
U. Sedlar, "Exploratory analysis of user-generated photos and indicators that influence their appeal", Acta graphica, vol.25, br. 1-2, str. 23-30, 2014. [Online]. Dostupno na: https://hrcak.srce.hr/138195. [Citirano: 25.07.2021.]

Sažetak
In this paper we analyze if simple indicators related to photo quality (brightness, sharpness, color palette) and established content detection techniques (face detection) can predict the success of photos in obtaining more “likes” from other users of photo-sharing social networks. This provides a unique look into the habits of users of such networks. The analysis was performed on 394.000 images downloaded from the social photo-sharing site Instagram, paired with a de-identified dataset of user liking activity, provided by a seller of a social-media mobile app. Two user groups were analyzed: all users in a two month period (N = 122.260) and a highly selective group (N = 3.982) of users that only like <10% of what they view. No correlation was found with any of the indicators using the whole (non-selective) population, likely due to their bias towards earning virtual currency in exchange for liking. However, in selective group, small positive correlation was found between like ratio and image sharpness (r=0.09, p<0.0001) and small negative correlation between like ratio and the number of faces (r=-0.10, p<0.0001).

Ključne riječi
User-generated content; Photography; Social networks; Image processing; Exploratory analysis; Face detection

Hrčak ID: 138195

URI
https://hrcak.srce.hr/138195

Posjeta: 492 *