Online User Data Removal Team Sports: Cassidy Burden, Leela - - PowerPoint PPT Presentation

Online User Data Removal

Team Sports: Cassidy Burden, Leela Karunakaran, Robert Ly, Ross McNulty, Sneha Shrotriya

Research Plan

• Mark

arket Res esearch - Robert

• User Behavior
• Leg

Legality an and Eth thics - Sneha

• Standards, Automation Scale
• Bac

Backend Systems s - Cassidy

• Rate Limiting, Server vs. Client
• Appli

licatio ion Prog

• gramming In

Interfaces s (A (APIs PIs) - Leela

• Data Removal Scale, Existing Third-Party Apps
• Us

User er In Interface an and Us User er Exp Experience (UI (UI/U /UX) - Ross

• Design Standards, Subtasks for Data Deletion, Application Platform

Market Research

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

Market Research - User Behavior

20 40 60 Reddit Tumblr Twitter Snapchat Instagram Facebook Stud udent nts Us Using ng Plat atfo form

Soc Socia ial Media ia Us Use e of

• f UT

UT St Students

1 46% 2 18% 3 8% 4 6% 5 or more 22%

Num umber of

• f Pos
• sts

ts Dele Deleted at On Once by y UT UT Stu Students ts

Figure 1 Figure 2

Figure 3

Market Research - User Behavior

Ethics and Legality

• What legal and industry standards exist for automation?
• What unintended consequences can automation have?

Ethics and Legality - Standards

• Software Law
• Ebay, Inc. v. Bidder’s Edge, Inc.
• Platform terms of use
• Limited automation

Human control Computer control Computer

• ffers no

assistance Computer

• ffers user set
• f actions

Computer executes with user approval Computer takes action without notifying user Current position Desired position Figure 4

Ethics and Legality – Automation Scale

Backend Systems

• How will we delete data?
• What environment are we using?

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

Backend Systems - Server vs. Client

• Server-Side
• Processing done on our servers
• Website cannot easily do web-scraping
• Client-side
• Processing left to users
• Must be ported for different platforms

Application Programmable Interfaces

• Which social media APIs allow data removal?
• What scripts and applications exist for data removal?

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

APIs - Data Removal Scale

APIs – Existing Third-Party Application

• Absterge: Facebook
• TwitWipe: Twitter
• TumblrCleanr: Tumblr
• Shreddit: Reddit

User Interface and Experience

• How can we make our interface intuitive?
• How will users progress through our application?
• How will users run our application?

UI/UX - Design Standards

Figure 7 Figure 8

Login Link Social Platforms Select Platform Data to Delete Confirm Deletion Application Performs Deletion Exit or Repeat Process

Figure 9

UI/UX - Design Standards

UI/UX - Application Platform

• Web App

○ Visited sparingly

• Browser extension

○ Seen regularly ○ Browser must be kept open

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

Questions?

References

Market Research

• M. Duggan et al., “Social Media Update 2014,” PewResearchCenter, Washington, D.C.,
• Rep. Jan. 9, 2015.
• 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. 1859-1872, Sep. 2012. (March, 2015). Leading social networks worldwide as of March 2015, ranked by number of active users (in millions) [Online]. Available: http://www.statista.com/statistics/272014/global-social-networks-ranked-by- number-of-users/

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. 2014.

• L. Graham, "Keep your bots to yourself [software law]," Software, IEEE , vol.17, no.6,

pp.106,107, Nov/Dec 2000.

• 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

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, 10-11 Jan. 2014 URL: http:ds//ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6775871 Dev.twitter.com, 'API Rate Limits | Twitter Developers', 2015. [Online]. Available: https://dev.twitter.com/rest/public/rate-limiting. Mozilla Developer Network, 'Same-origin policy', 2015. [Online]. Available: https://developer.mozilla.org/en-US/docs/Web/Security/Same-origin_policy.

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, 10-11 Jan. 2014 URL: http:ds//ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6775871 Dev.twitter.com, 'API Rate Limits | Twitter Developers', 2015. [Online]. Available: https://dev.twitter.com/rest/public/rate-limiting. Mozilla Developer Network, 'Same-origin policy', 2015. [Online]. Available: https://developer.mozilla.org/en-US/docs/Web/Security/Same-origin_policy.

UI/UX

Usability.gov, 'User Interface Design Basics', 2015. [Online]. Available: http://www.usability.gov/what-and-why/user-interface-design.html Miller, J., "The user experience [Internet]," Internet Computing, IEEE, vol.9, no.5, pp.90,92, Sept.-Oct. 2005 doi: 10.1109/MIC.2005.113 Mozilla Developer Network, 'Add-on guidelines', 2015. [Online]. Available: https://developer.mozilla.org/en-US/Add-ons/Add-on_guidelines

References (cont.)