The Journal of Machine Learning Research
Give and take: a study of consumer photo-sharing culture and practice
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Flickr and public image-sharing: distant closeness and photo exhibition
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Microscopic evolution of social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Topickr: flickr groups and users reloaded
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Connecting content to community in social media via image content, user tags and user communication
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Folks in Folksonomies: social link prediction from shared metadata
Proceedings of the third ACM international conference on Web search and data mining
Understanding and leveraging tag-based relations in on-line social networks
Proceedings of the 23rd ACM conference on Hypertext and social media
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In today's age of digital multimedia deluge, a clear understanding of the dynamics of online communities is capital. Users have abandoned their role of passive consumers and are now the driving force behind large-scale media repositories, whose dynamics and shaping factors are not yet fully understood. In this paper we present a novel human-centered analysis of two major photo sharing websites, Flickr and Kodak Gallery. On a combined dataset of over 5 million tagged photos, we investigate fundamental differences and similarities at the level of tag usage and propose a joint probabilistic topic model to provide further insight into semantic differences between the two communities. Our results show that the effects of the users' motivations and needs can be strongly observed in this large-scale data, in the form of what we call Kodak Moments and Flickr Diamonds. They are an indication that system designers should carefully take into account the target audience and its needs.