Family Feud
Family Feud Example
• http://www.youtube.com/watch?v=
dkgS0wfJlBY&feature=fvst
Family Feud Rules
• Face-off to see who can guess the
highest ranked answer
• Face-off winner’s team get to guess
all the answers
• Each round is worth $10*number of
answers
• If a team gets all the answers, they
win the money. If they get three
wrong the other team can steal.
Private information you might
reveal online
Birthday/age
1
Name
2
Location
3
Financial
4
everything
5
Evidence that your information
will be encrypted
https
1
Lock
2
Asks for 3password
A website that is trustworthy
My Bank
1
msn
5
McAfee
2
twitter
6
Yahoo
3
Google
4
A website that is malicious
Facebook
1
spyware
2
porn
3
A way to avoid being a victim of
identity theft
Stay offline
1
Change 2password
Don’t give3 out SSN
4
Delete unwanted emails
Reasons for “certificate” errors
No idea
1
DNS 2failure
Self-signed
3
hacking
4
Information that is
automatically sent to every
website I visit
Ip address
1
everything
5
Email address
2
Browser
3 type
don’t4know
An online ad company
google
1
Don’t2know
Behavioral economics
“There are areas of life in which people seem to
display less than perfect rationality” (Loewenstein et
al, 2008):
 Personal Finances
 Privacy online and on mobile devices
G. F. Loweinstein and E.C. Haisley. The foundations of Positive and Normative Economics, chapter 9.
Oxford University Press, 2008.
Private Information You might
Reveal Online
•
•
•
•
•
•
•
•
Location
Name
Marital status
Sex orientation
Gender
Finances
Zip Code
Credit card
•
•
•
•
Address
Phone
Email
everything
• Birthday + State = SSN
(Acquisti 2009)
OKCupid Discussion Board
Behavioral economics and privacy
decision making
 Imperfect or asymmetrical information
 Biases
 Default bias
 Hyperbolic discounting
 Bounded Rationality
Imperfect Information
Default Bias
• Organ Donation
• Retirement (Thaler 2008)
• Facebook – 69% had changed default
settings (Debatin 2009)
Bounded Rationality
• Calculating carbon emissions
• Friends of friends
Hyperbolic Time Discounting
•Benefits now – costs later
• Donuts and smoking
•Clicking through warnings
•Installing apps on Droid
Bib
•
•
•
•
J. Tsai, P. Kelley, L. Cranor, and N. Sadeh, 2009. “Location‐Sharing Technologies:
Privacy Risks and Controls." Telecommunications Policy Research Conference
(TPRC).
A. Acquisti and R. Gross, 2009. “Predicting Social Security Numbers From Public
Data.” Proceedings Of The National Academy Of Science, 106(27), 10975-10980.
What Can Behavioral Economics Teach Us About Privacy? Alessandro Acquisti and
Jens Grossklags
Thaler and Sunstien Nudge Improving Decisions about Health Wealth and Happiness