Online User Data Removal. Team Sports: Cassidy Burden, Leela Karunakaran, Robert Ly, Ross McNulty, Sneha Shrotriya

Transcription

1 Online User Data Removal Team Sports: Cassidy Burden, Leela Karunakaran, Robert Ly, Ross McNulty, Sneha Shrotriya

2 Research Plan Market Research - Robert o User Behavior Legality and Ethics - Sneha o Standards, Automation Scale Backend Systems - Cassidy o Rate Limiting, Server vs. Client Application Programming Interfaces (APIs) - Leela o Data Removal Scale, Existing Third-Party Apps User Interface and User Experience (UI/UX) - Ross o Design Standards, Subtasks for Data Deletion, Application Platform

3 Market Research Who deletes personal social media data and why? How can we make this process easier?

4 Market Research - User Behavior Social Media Use of UT Students Number of Posts Deleted at Once by UT Students Facebook Instagram Snapchat Twitter 5 or more 22% 4 6% 1 46% Tumblr Reddit Students Using Platform 3 8% 2 18% Figure 1 Figure 2

5 Market Research - User Behavior Figure 3

6 Ethics and Legality What legal and industry standards exist for automation? What unintended consequences can automation have?

7 Ethics and Legality - Standards Software Law o Ebay, Inc. v. Bidder s Edge, Inc. Platform terms of use o Limited automation

8 Ethics and Legality Automation Scale Computer offers no assistance Computer offers user set of actions Computer executes with user approval Computer takes action without notifying user Human control Computer control Current position Desired position Figure 4

9 Backend Systems How will we delete data? What environment are we using?

10 Backend Systems - Rate Limiting Limits how fast apps/users can use services Slows automation and risks blacklisting Impossible to avoid detection Stops robots Figure 5

11 Backend Systems - Server vs. Client Server-Side o o Processing done on our servers Website cannot easily do web-scraping Client-side o o Processing left to users Must be ported for different platforms

12 Application Programmable Interfaces Which social media APIs allow data removal? What scripts and applications exist for data removal?

13 APIs - Data Removal Scale LinkedIn Pinterest Vine Google+ Instagram Reddit Facebook Twitter Tumblr No Deletion Support Deletion- Friendly APIs Figure 6

14 APIs Existing Third-Party Application Absterge: Facebook TwitWipe: Twitter TumblrCleanr: Tumblr Shreddit: Reddit

15 User Interface and Experience How can we make our interface intuitive? How will users progress through our application? How will users run our application?

16 UI/UX - Design Standards Figure 7 Figure 8

17 UI/UX - Design Standards Login Link Social Platforms Select Platform Data to Delete Exit or Repeat Process Application Performs Deletion Confirm Deletion Figure 9

18 UI/UX - Application Platform Web App Visited sparingly Browser extension Seen regularly Browser must be kept open

19 Next Steps Market Research - Define feature specs Legality & Ethics - Choose automation scope Backend Systems - Determine environment APIs - Decide target platforms UI/UX - Create interface prototype

20 Questions?

21 References Market Research M. Duggan et al., Social Media Update 2014, PewResearchCenter, Washington, D.C., Rep. Jan. 9, J. T. Child et al., Blogging privacy rule orientations, privacy management, and content deletion practices: The variability of online privacy management activity at different stages of social media use. COMPUT HUM BEHAV, vol. 28, no. 5, pp , Sep (March, 2015). Leading social networks worldwide as of March 2015, ranked by number of active users (in millions) [Online]. Available: Legality and Ethics S. Vihavainen, et.al, "The Clash between Privacy and Automation in Social Media," Pervasive Computing, IEEE, vol.13, no.1, pp.56,63, Jan.-Mar L. Graham, "Keep your bots to yourself [software law]," Software, IEEE, vol.17, no.6, pp.106,107, Nov/Dec M. Michael and K. Michael, "Privacy - The times they are a-changin' [Introduction]," Technology and Society Magazine, IEEE, vol.31, no.4, pp.20,21, winter 2012

22 References (cont.) Backend Systems Sardar, T.H.; Ansari, Z., "Detection and confirmation of web robot requests for cleaning the voluminous web log data," IMpact of E-Technology on US (IMPETUS), 2014 International Conference on the, vol., no., pp.13,19, Jan URL: Dev.twitter.com, 'API Rate Limits Twitter Developers', [Online]. Available: Mozilla Developer Network, 'Same-origin policy', [Online]. Available: APIs Sardar, T.H.; Ansari, Z., "Detection and confirmation of web robot requests for cleaning the voluminous web log data," IMpact of E-Technology on US (IMPETUS), 2014 International Conference on the, vol., no., pp.13,19, Jan URL: Dev.twitter.com, 'API Rate Limits Twitter Developers', [Online]. Available: Mozilla Developer Network, 'Same-origin policy', [Online]. Available:

23 References (cont.) UI/UX Usability.gov, 'User Interface Design Basics', [Online]. Available: Miller, J., "The user experience [Internet]," Internet Computing, IEEE, vol.9, no.5, pp.90,92, Sept.-Oct doi: /MIC Mozilla Developer Network, 'Add-on guidelines', [Online]. Available: