DocumentCode
634863
Title
Predictive Notification Service of Privacy Invasion on Posting Pictures to SNS
Author
Shimada, S. ; Echizen, Isao
Author_Institution
Dept. of Adv., Tokyo Metropolitan Univ., Tokyo, Japan
fYear
2013
fDate
22-26 July 2013
Firstpage
193
Lastpage
199
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.
Keywords
data privacy; social networking (online); SNS; community extraction; picture posting; predictive notification service; privacy invasion; social network services; Communities; Data privacy; Face; Face recognition; Feature extraction; Privacy; Posting pictures; Predictive notification; Privacy community; Privacy invasion; SNS;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference Workshops (COMPSACW), 2013 IEEE 37th Annual
Conference_Location
Japan
Type
conf
DOI
10.1109/COMPSACW.2013.26
Filename
6605788
Link To Document