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
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;
Conference_Titel :
Computer Software and Applications Conference Workshops (COMPSACW), 2013 IEEE 37th Annual
Conference_Location :
Japan
DOI :
10.1109/COMPSACW.2013.26