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    Collective Aspects of Privacy in the Twitter social network

    With an increased online participation on Social Media, privacy concerns have risen to unprecedented levels. It has become extremely important to allow individuals the full control of their private information. Popular mobile applications integrated with Online Social Networks (OSNs) allow them to access user’s private information like their contact lists. This might allow OSNs to create shadow profiles of non-users using the data of existing users. We test this hypothesis for the first time on Twitter and further evaluate the predictability of location and biographical vector of a user from the information given by a friend who has created a Twitter Profile before our user. Dataset To get an unbiased…

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