AAAI Publications, 2016 AAAI Fall Symposium Series

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Modeling Language Vagueness in Privacy Policies Using Deep Neural Networks
Fei Liu, Nicole Lee Fella, Kexin Liao

Last modified: 2016-09-28

Abstract


Website privacy policies are too long to read and difficult to understand. The over-sophisticated language undermines the effectiveness of privacy notices. People become less willing to share their personal information when they perceive the privacy policy as vague. The goal of this paper is to decode vagueness from a natural language processing perspective. While thoroughly identifying the vague terms and their linguistic scope remains an elusive challenge, in this work we seek to learn vector representations of words in privacy policies using deep neural networks. The vector representations are fed to an interactive visualization tool (LSTMVis) to test on their ability to discover syntactically and semantically related terms. The approach holds promise for modeling and understanding language vagueness.

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