St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • Computer Science (School of)
  • Computer Science
  • Computer Science Theses
  • View Item
  •   St Andrews Research Repository
  • Computer Science (School of)
  • Computer Science
  • Computer Science Theses
  • View Item
  •   St Andrews Research Repository
  • Computer Science (School of)
  • Computer Science
  • Computer Science Theses
  • View Item
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Applying contextual integrity to the study of social network sites

Thumbnail
View/Open
LukeHuttonPhDThesis.pdf (5.153Mb)
Date
30/11/2015
Author
Hutton, Luke
Supervisor
Henderson, Tristan
Keywords
Social network sites
Reproducibility
Privacy
Ethics
Facebook
Social media
Contextual integrity
Metadata
Show full item record
Altmetrics Handle Statistics
Abstract
Social network sites (SNSs) have become very popular, with more than 1.39 billion people using Facebook alone. The ability to share large amounts of personal information with these services, such as location traces, photos, and messages, has raised a number of privacy concerns. The popularity of these services has enabled new research directions, allowing researchers to collect large amounts of data from SNSs to gain insight into how people share information, and to identify and resolve issues with such services. There are challenges to conducting such research responsibly, ensuring studies are ethical and protect the privacy of participants, while ensuring research outputs are sustainable and can be reproduced in the future. These challenges motivate the application of a theoretical framework that can be used to understand, identify, and mitigate the privacy impacts of emerging SNSs, and the conduct of ethical SNS studies. In this thesis, we apply Nissenbaum's model of contextual integrity to the study of SNSs. We develop an architecture for conducting privacy-preserving and reproducible SNS studies that upholds the contextual integrity of participants. We apply the architecture to the study of informed consent to show that contextual integrity can be leveraged to improve the acquisition of consent in such studies. We then use contextual integrity to diagnose potential privacy violations in an emerging form of SNS.
Type
Thesis, PhD Doctor of Philosophy
Collections
  • Computer Science Theses
URI
http://hdl.handle.net/10023/7795

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter