DocumentCode :
593684
Title :
Automatic social group organization and privacy management
Author :
Squicciarini, Anna ; Karumanchi, S. ; Lin, Dongyang ; DeSisto, N.
Author_Institution :
Inf. Sci. & Technol., Pennsylvania State Univ., University Park, PA, USA
fYear :
2012
fDate :
14-17 Oct. 2012
Firstpage :
89
Lastpage :
96
Abstract :
With the dramatic increase of users on social network websites, the needs to assist users to manage their large number of contacts as well as providing privacy protection become more and more evident. Unfortunately, limited tools are available to address such needs and reduce users´ workload on managing their social relationships. To tackle this issue, we propose an approach to facilitate online social network users to group their contacts into social circles with common interests. Further, we leverage the social group practice to automate the privacy setting process for users who add new contacts or upload new data items. We conducted a user study to evaluate the effectiveness of our solution.
Keywords :
data privacy; group theory; security of data; social networking (online); automatic social group organization; contact management; privacy management; privacy protection; privacy setting process automation; social group practice; social network Web sites; social relationships; user workload reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2012 8th International Conference on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4673-2740-4
Type :
conf
Filename :
6450896
Link To Document :
بازگشت