A Comparison of Face Detection Algorithms
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Disambiguating Web appearances of people in a social network
WWW '05 Proceedings of the 14th international conference on World Wide Web
Over-exposed?: privacy patterns and considerations in online and mobile photo sharing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Privacy-enhanced sharing of personal content on the web
Proceedings of the 17th international conference on World Wide Web
PRIMO - Towards Privacy Aware Image Sharing
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Proceedings of the 18th international conference on World wide web
Moving beyond untagging: photo privacy in a tagged world
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Privacy wizards for social networking sites
Proceedings of the 19th international conference on World wide web
CoPE: Enabling collaborative privacy management in online social networks
Journal of the American Society for Information Science and Technology
Poster: preliminary analysis of Google+'s privacy
Proceedings of the 18th ACM conference on Computer and communications security
Privacy-aware image classification and search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
I've got 99 problems, but vibration ain't one: a survey of smartphone users' concerns
Proceedings of the second ACM workshop on Security and privacy in smartphones and mobile devices
Hi-index | 0.00 |
The amount of media uploaded to the Web is still rapidly expanding. The ease-of-use of modern smartphones in combination with the proliferation of high-speed mobile networks facilitates a culture of spontaneous and often carefree sharing of user-generated content, especially photos and videos. An increasing number of modern devices are capable of embedding location information and other metadata into created content. However, currently there is not much user awareness of possible privacy consequences of such data. While in most cases users upload their own media consciously, the flood of media uploaded by others is so huge that it is almost impossible for users to stay aware of all media that might be relevant to them. Current social network services and photo-sharing sites mainly focus on the privacy of users' own media in terms of access control, but offer few possibilities to deal with privacy implications created by other users' actions. We conducted an online survey with 414 participants. The results show that users would like to get more information about media shared by others. Based on an analysis of prevalent sharing services like Flickr, Facebook, or Google+ and an analysis of metadata of three different sets of crawled photos, we discuss privacy implications and potentials of the emerging trend of (geo-)tagged media. Finally, we present a novel concept on how location information can actually help users to control the flood of potentially infringing or interesting media.