@conference {57,
	title = {Are You My Friend?},
	booktitle = {Proceedings of the 7th IEEE Conference on Consumer Communications and Networking Conference},
	year = {2010},
	publisher = {IEEE Press},
	organization = {IEEE Press},
	address = {Piscataway, NJ, USA},
	abstract = {<p>With Twitters growing popularity, privacy has become a major concern for users wary of sensitive information falling in the wrong hands. A typical Twitter user carries hundreds of followers - people who have subscribed to users twitter feeds. Our goal is to target followers that a Twitter user deems safe. Therefore, selecting followers with a closer relationship could help decrease the risk of sensitive information being sent to unknown people. We propose a privacy management system that helps a Twitter user restrict information to only certain followers based on the strength of their social tie. This system would incorporate two tools: the Exclusivity meter and the Twitter Response Estimator. The Exclusivity Meter employs user{\textquoteright}s activity profile to guess similarities between users. Preliminary results have indicated that similarity in time and level of activity between user and follower does suggest a stronger social tie. The Twitter Response Estimator uses a measure of prestige to gauge the probability of response. When applied to a set of followers, the estimator separates real friends from recreational followers</p>
},
	keywords = {online social network, Privacy, Twitter},
	isbn = {978-1-4244-5175-3},
	url = {http://dl.acm.org/citation.cfm?id=1834217.1834342},
	author = {Baatarjav, Enkh-Amgalan and Amin, Aliasgar and Ram Dantu and Gupta, Nikhil Kant}
}
