Name
Abstract | ||
|---|---|---|
The increasing volume of picture posting to SNS (Social Network Services) has led to a growing incidence of privacy invasion issues. We analyze the factors behind invasions of privacy in a large archive of tweets accumulated over a long period, and extract communities that provide a shared interpretation of privacy. We then propose a new service that analyzes new picture posts to predict the communities in which invasions of privacy are liable to occur and forewarn users who are liable to become invader or violated of privacy invasion. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/COMPSACW.2013.26 | COMPSAC Workshops |
Keywords | Field | DocType |
privacy invasion,new service,data privacy,new picture post,predictive notification,privacy community,posting pictures,large archive,shared interpretation,community extraction,increasing volume,forewarn user,long period,sns,predictive notification service,privacy invasion issue,social network services,picture posting,social networking (online),privacy,face recognition,face,feature extraction | Internet privacy,Social network,Computer security,Computer science,Information privacy,Privacy software | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shigeru Shimada | 1 | 3 | 0.93 |
| Isao Echizen | 2 | 299 | 68.82 |