Next Article in Journal / Special Issue
FaceMashup: An End-User Development Tool for Social Network Data
Previous Article in Journal
Enhanced Local Fisher Discriminant Analysis for Indoor Positioning in Wireless Local Area Network
Article Menu

Export Article

Open AccessArticle
Future Internet 2016, 8(2), 9; doi:10.3390/fi8020009

User Perception of Facebook App Data Access: A Comparison of Methods and Privacy Concerns

Human-Computer Interaction Lab, University of Maryland, College Park, MD 20742, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Salvatore Carta and Ludovico Boratto
Received: 22 February 2016 / Revised: 9 March 2016 / Accepted: 11 March 2016 / Published: 25 March 2016
(This article belongs to the Special Issue Human–Computer Interaction and the Social Web)
View Full-Text   |   Download PDF [1790 KB, uploaded 25 March 2016]   |  

Abstract

Users share vast amounts of personal information online, but are they fully aware of what information they are sharing and with whom? In this paper, we focused on Facebook apps and set out to understand how concerned users are about privacy and how well-informed they are about what personal data apps can access. We found that initially, subjects were generally under-informed about what data apps could access from their profiles. After viewing additional information about these permissions, subjects’ concern about privacy on Facebook increased. Subjects’ understanding of what data apps were able to access increased, although even after receiving explicit information on the topic, many subjects still did not fully understand the extent to which apps could access their data. View Full-Text
Keywords: social media; privacy; usability; apps social media; privacy; usability; apps
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Golbeck, J.; Mauriello, M.L. User Perception of Facebook App Data Access: A Comparison of Methods and Privacy Concerns. Future Internet 2016, 8, 9.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Future Internet EISSN 1999-5903 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top