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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
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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.
X Private information you might reveal online Birthday/age 1 5 everything Name 2 Location 3 Financial 4
X Evidence that your information will be encrypted https 1 Lock 2 3 Asks for password
X A website that is trustworthy My Bank 1 msn 5 McAfee 2 twitter 6 Yahoo 3 Google 4
X A website that is malicious Facebook 1 spyware 2 porn 3
X A way to avoid being a victim of identity theft Stay offline 1 2 Change password 3 Don’t give out SSN 4 Delete unwanted emails
X Reasons for “certificate” errors No idea 1 hacking 4 DNS failure 2 Self-signed 3
X Information that is automatically sent to every website I visit Ip address 1 everything 5 Email address 2 Browser type 3 don’t know 4
X An online ad company google 1 Don’t know 2
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)
Behavioral economics and privacy decision making • Imperfect or asymmetrical information • Biases • Default bias • Hyperbolic discounting • Bounded Rationality
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