A familiar face(book): profile elements as signals in an online social network
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Looking at, looking up or keeping up with people?: motives and use of facebook
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Internet social network communities: Risk taking, trust, and privacy concerns
Computers in Human Behavior
Hide and seek: location sharing practices with social media
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An investigation into facebook friend grouping
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part III
Finding someone in my social directory whom i do not fully remember or barely know
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Visualiz'em: "show me more about him!"
Proceedings of the International Working Conference on Advanced Visual Interfaces
"Ten things i want to know about you": unveiling friends' attribute relevance
Proceedings of the 30th European Conference on Cognitive Ergonomics
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The growing amount of personal information on the web raises increasing concerns about what and with whom we share information online. Nevertheless, little effort has been made in determining the relevance of the information shared with us or in filtering it accordingly. We conducted a study to identify the most relevant characteristics when seeking information about people and to scrutinize their differences among relationship types. To achieve that, we asked users to describe people (friends, acquaintances and famous people). Afterwards, we asked them to rate the perceived relevance of a carefully pre-determined set of attributes for each type. Results showed that their relevance varied depending on the relationship. As an outcome, we present the most relevant attributes when seeking information about friends, acquaintances and famous people and the major differences among them. We conclude suggesting how our findings may influence the design of interactive systems where such data is paramount.