The credibility of digital identity information on the social web: a user study

The recent rise in the adoption of Social Web platforms such as MySpace, Facebook and Twitter has provided Web users with rich functionality and feature sets to interact with their peers and construct an online presence. The digital identity which Web users build on the Social Web is being increasingly reused by third party services (product recommendation services, authentication mechanisms, identity management services). The reliance on such digital identity information requires accurate and credible information. This paper presents a detailed user study of the digital identity representations which are constructed on the Social Web. The study explores the extent to which such representations mirror their real-world equivalent and therefore assesses the credibility of such information.

[1]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[2]  Bradley Malin,et al.  Unsupervised Name Disambiguation via Social Network Similarity , 2005 .

[3]  Alessandro Acquisti,et al.  Information revelation and privacy in online social networks , 2005, WPES '05.

[4]  C. J. van Rijsbergen,et al.  Information Retrieval , 1979, Encyclopedia of GIS.

[5]  Dmitri V. Kalashnikov,et al.  Web People Search via Connection Analysis , 2008, IEEE Transactions on Knowledge and Data Engineering.

[6]  Stephanie M. Reich,et al.  Online and Offline Social Networks: Use of Social Networking Sites by Emerging Adults , 2008 .

[7]  Judith Donath,et al.  Public Displays of Connection , 2004 .

[8]  Mark Andrejevic,et al.  The Discipline of Watching: Detection, Risk, and Lateral Surveillance , 2006 .

[9]  R. Darlington,et al.  Regression and Linear Models , 1990 .

[10]  Steven Foster,et al.  The Augmented Social Network: Building identity and trust into the next-generation Internet , 2003, First Monday.

[11]  M. Newman Power laws, Pareto distributions and Zipf's law , 2005 .

[12]  M. E. J. Newman,et al.  Power laws, Pareto distributions and Zipf's law , 2005 .

[13]  Matthew Rowe Applying Semantic Social Graphs to Disambiguate Identity References , 2009, ESWC.

[14]  Mason A. Porter,et al.  Community Structure in Online Collegiate Social Networks , 2008 .

[15]  Jianyong Wang,et al.  Two birds with one stone: a graph-based framework for disambiguating and tagging people names in web search , 2009, WWW '09.

[16]  P. Thompson Digital Identity , 2003 .

[17]  Peter Thomas,et al.  Being online, living offline: the influence of social ties over the appropriation of social network sites , 2008, CSCW.

[18]  G. H. Cheng,et al.  A Comparison of Offline and Online Friendship Qualities at Different Stages of Relationship Development , 2004 .

[19]  Cliff Lampe,et al.  A face(book) in the crowd: social Searching vs. social browsing , 2006, CSCW '06.

[20]  Faisal Taher,et al.  Exploring the facebook experience: a new approach to usability , 2008, NordiCHI.

[21]  Barbie Clarke Friends Forever: How Young Adolescents Use Social-Networking Sites , 2009, IEEE Intelligent Systems.