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WhACKY! - what anyone could know about you from twitter

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dc.contributor.author Correa, Denzil
dc.contributor.author Sureka, Ashish (Advisor)
dc.date.accessioned 2013-02-06T10:35:23Z
dc.date.available 2013-02-06T10:35:23Z
dc.date.issued 2013-02-06T10:35:23Z
dc.identifier.uri https://repository.iiitd.edu.in/jspui/handle/123456789/77
dc.description.abstract Twitter is a popular micro-blogging website which allows users to post 140-character limit mes- sages called tweets. Twitter users (also called Twitterers) post activity messages about their daily lives, opinions on current events and news, and even have conversations with other users. In addition, Twitterers also share various other information like photographs, videos and visited locations hosted on other external services like Flickr, YouTube and Foursquare. Therefore, tweets contain variety of information obtained from a combination of multiple sources. We demonstrate a cheap and elegant solution { WhACKY! { to harness this multi-source informa- tion to link Twitter pro les across other external services. In particular, we exploit activity feed sharing patterns to map Twitter pro les to their corresponding external service accounts using publicly available APIs. We illustrate a proof-of-concept by mapping 69,496 Twitter pro les to at least one of the ve popular external services : Flickr (photo-sharing service), Foursquare (location-based service), YouTube (video-sharing service), Facebook (a popular social network) and LastFM (music-sharing service). We evaluate our solution against a commercial social iden- tity mapping service { FlipTop { and demonstrate the e ciency of our approach. WhACKY! guarantees that the mapped pro les are 100% true-positive and helps quantify the unintended leakage of Personally Identi able Information (PII) attributes. During the process, WhACKY! is also able to detect duplicate Twitter pro les connected to multiple external services.We de- velop a web application based on WhACKY!1 for perusal by Twitterers which can help them better understand unintended leakage of their PII. en_US
dc.language.iso en_US en_US
dc.subject Privacy en_US
dc.subject Social Media en_US
dc.subject Twitter en_US
dc.subject Pro le Linking en_US
dc.subject PII Leakage en_US
dc.title WhACKY! - what anyone could know about you from twitter en_US
dc.type Thesis en_US


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