Actas de congresos
The Impact Of Visual Attributes On Online Image Diffusion
Registro en:
9781450326223
Websci 2014 - Proceedings Of The 2014 Acm Web Science Conference. Association For Computing Machinery, v. , n. , p. 42 - 51, 2014.
10.1145/2615569.2615700
2-s2.0-84904490651
Autor
Totti L.
Costa F.
Avila S.
Valle E.
Meira Jr. W.
Almeida V.
Institución
Resumen
Little is known on how visual content affects the popularity on social networks, despite images being now ubiquitous on the Web, and currently accounting for a considerable frac- tion of all content shared. Existing art on image sharing fo- cuses mainly on non-visual attributes. In this work we take a complementary approach, and investigate resharing from a mainly visual perspective. Two sets of visual features are proposed, encoding both aesthetical properties (brightness, contrast, sharpness, etc.), and semantical content (concepts represented by the images). We collected data from a large image-sharing service (Pinterest) and evaluated the predic- tive power of different features on popularity (number of reshares). We found that visual properties have low pre- dictive power compared that of social cues. However, after factoring-out social in uence, visual features show consider- able predictive power, especially for images with higher ex- posure, with over 3:1 accuracy odds when classifying highly exposed images between very popular and unpopular. Copyright © 2014 ACM.
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