Social network sites (SNSs) have become very popular, with more than 1.39billion people using Facebook alone. The ability to share large amounts ofpersonal information with these services, such as location traces, photos, andmessages, has raised a number of privacy concerns. The popularity of theseservices has enabled new research directions, allowing researchers to collectlarge amounts of data from SNSs to gain insight into how people shareinformation, and to identify and resolve issues with such services. There arechallenges to conducting such research responsibly, ensuring studies areethical and protect the privacy of participants, while ensuring research outputsare sustainable and can be reproduced in the future. These challenges motivate the application of a theoretical framework that canbe used to understand, identify, and mitigate the privacy impacts of emergingSNSs, and the conduct of ethical SNS studies. In this thesis, we applyNissenbaum's model of contextual integrity to the study of SNSs. We develop anarchitecture for conducting privacy-preserving and reproducible SNS studiesthat upholds the contextual integrity of participants. Weapply the architecture to the study of informed consent to show that contextualintegrity can be leveraged to improve the acquisition of consent in suchstudies. We then use contextual integrity to diagnose potential privacyviolations in an emerging form of SNS.
【 预 览 】
附件列表
Files
Size
Format
View
Applying contextual integrity to the study of social network sites