Paola Tubaro, Antonio A Casilli, Yasaman Sarabi's Against the Hypothesis of the End of Privacy: An Agent-Based PDF

By Paola Tubaro, Antonio A Casilli, Yasaman Sarabi

ISBN-10: 3319024558

ISBN-13: 9783319024554

ISBN-10: 3319024566

ISBN-13: 9783319024561

Several well-known public voices have complex the speculation that networked communications erode the worth of privateness in desire of a clear attached lifestyles. specially more youthful generations are usually defined as vulnerable to reside "open electronic lives". This speculation has raised enormous controversy, polarizing the response of its critics in addition to of its partisans. yet how most probably is the "end of privacy"? lower than which stipulations may well this situation turn out to be? What are the enterprise and coverage implications? tips to ethically examine hazards and possibilities? To make clear the co-evolution and mutual dependencies of networked constructions and person and collective concepts in the direction of privateness, this publication innovatively makes use of state-of-the-art tools in computational social sciences to check the formation and upkeep of on-line social networks. The findings confound universal arguments and obviously point out that web and social media don't inevitably entail the tip of privateness. exposure isn't really "the new norm": particularly on the contrary, the ebook makes the case that privateness is a resilient social strength, as a result of a suite of interconnected behaviors of web users.

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Additional resources for Against the Hypothesis of the End of Privacy: An Agent-Based Modelling Approach to Social Media

Sample text

We thus test a second version of our model, assuming that agents reset their privacy settings to 1 when their personal network is too dense. Operationally, we measure local density through the clustering coefficient of a node in the network, that is, the ratio of the number of existing ties between the ji contacts of individual agent i, and the number of potential ties between them, ji ðji À1Þ which in an undirected network are 2 . The clustering coefficient is defined in the [0; 1] real interval.

Ties remain unchanged if no other agents meet any of these conditions. For simplicity, we consider that all links that are formed in the system are undirected—that is, we disregard the difference between the sender of a tie request (for example the follower on Twitter or Sina Weibo) and the receiver (the followee). This is consistent with the functioning of some social networking services in which ties, once established, are commonly symmetric (such as Facebook and LinkedIn). If instead of forming a new tie, the agent deletes an existing one (for instance when an existing contact is ‘defriended’, unfollowed or blocked), we must again distinguish an isolated agent from an already connected one.

This rather high value has been chosen precisely to allow room to the generalized transparency argument, reflecting the assumption that users are not excessively sensitive to privacy and implicitly accept the rule that some degree of self-disclosure is necessary to find their place in the network. We will see that even these rather loose conditions do not necessarily lead to an ‘end-of-privacy’ scenario. Indeed, according to our findings (Fig. 2 (relative dominance of bonding), regardless of the value of D.

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Against the Hypothesis of the End of Privacy: An Agent-Based Modelling Approach to Social Media by Paola Tubaro, Antonio A Casilli, Yasaman Sarabi

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