TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Identifying Variable-Length Meaningful Phrases with Correlation Functions
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Stopping spyware at the gate: a user study of privacy, notice and spyware
SOUPS '05 Proceedings of the 2005 symposium on Usable privacy and security
A "nutrition label" for privacy
Proceedings of the 5th Symposium on Usable Privacy and Security
Textured agreements: re-envisioning electronic consent
Proceedings of the Sixth Symposium on Usable Privacy and Security
My profile is my password, verify me!: the privacy/convenience tradeoff of facebook connect
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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We present ConsentCanvas, a system which structures and "texturizes" End-User License Agreement (EULA) documents to be more readable. The system aims to help users better understand the terms under which they are providing their informed consent. ConsentCanvas receives unstructured text documents as input and uses unsupervised natural language processing methods to embellish the source document using a linked stylesheet. Unlike similar usable security projects which employ summarization techniques, our system preserves the contents of the source document, minimizing the cognitive and legal burden for both the end user and the licensor. Our system does not require a corpus for training.