Family Feud Family Feud Example http www youtube

Family Feud

Family Feud Example • http: //www. youtube. com/watch? v=dkg. S 0 wf. Jl. BY &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 X Birthday/age 1 Name 2 Location 3 Financial 4 everything 5

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

A website that is trustworthy X My Bank 1 msn 5 Mc. Afee 2 twitter 6 Yahoo 3 Google 4

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

A way to avoid being a victim of identity theft X Stay offline 1 Change 2 password Don’t give 3 out SSN 4 Delete unwanted emails

Reasons for “certificate” errors X No 1 idea DNS 2 failure Self-signed 3 hacking 4

Information that is automatically sent to every website I visit X Ip address 1 Email 2 address Browser 3 type don’t 4 know everything 5

An online ad company google 1 X Don’t 2 know

Behavioral economics “There 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