Family Feud

Family Feud Example 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.

Name Private information you might reveal online 2 Location Financial everythingBirthday/age X

Lock Evidence that your information will be encrypted 2 Asks for password https 3 1 X

McAfee A website that is trustworthy 2 Yahoo Google twitter msnMy Bank X

spyware A website that is malicious 2 porn Facebook 3 1 X

Change password A way to avoid being a victim of identity theft 2 Don’t give out SSN Delete unwanted s Stay offline X

DNS failure Reasons for “certificate” errors 2 Self-signed hackingNo idea 3 41 X

address Information that is automatically sent to every website I visit 2 Browser type don’t know everythingIp address X

Don’t know An online ad company 2 google1 X

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 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, “Location ‐ Sharing Technologies: Privacy Risks and Controls." Telecommunications Policy Research Conference (TPRC). A. Acquisti and R. Gross, “Predicting Social Security Numbers From Public Data.” Proceedings Of The National Academy Of Science, 106(27), What Can Behavioral Economics Teach Us About Privacy? Alessandro Acquisti and Jens Grossklags Thaler and Sunstien Nudge Improving Decisions about Health Wealth and Happiness