DocumentCode
1824146
Title
Analysis of publicly disclosed information in Facebook profiles
Author
Farahbakhsh, Reza ; Xiao Han ; Cuevas, Andres ; Crespi, Noel
Author_Institution
Inst. Mines-Telecom, Paris, France
fYear
2013
fDate
25-28 Aug. 2013
Firstpage
699
Lastpage
705
Abstract
Facebook, the most popular Online social network is a virtual environment where users share information and are in contact with friends. Apart from many useful aspects, there is a large amount of personal and sensitive information publicly available that is accessible to external entities/users. In this paper we study the public exposure of Facebook profile attributes to understand what type of attributes are considered more sensitive by Facebook users in terms of privacy, and thus are rarely disclosed, and which attributes are available in most Facebook profiles. Furthermore, we also analyze the public exposure of Facebook users by accounting the number of attributes that users make publicly available on average. To complete our analysis we have crawled the profile information of 479K randomly selected Facebook users. Finally, in order to demonstrate the utility of the publicly available information in Facebook profiles we show in this paper three case studies. The first one carries out a gender-based analysis to understand whether men or women share more or less information. The second case study depicts the age distribution of Facebook users. The last case study uses data inferred from Facebook profiles to map the distribution of worldwide population across cities according to its size.
Keywords
data privacy; social networking (online); Facebook profiles; Facebook users; age distribution; online social network; personal information; privacy; publicly available information; publicly disclosed information analysis; sensitive information; virtual environment; worldwide population distribution; Educational institutions; Games; Motion pictures; TV; Facebook; Information Disclosure; Online Social Networks; Privacy;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location
Niagara Falls, ON
Type
conf
Filename
6785779
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