1. Skills: none Concepts: information we give up voluntarily, information we reveal as a by-product of using the Internet, use of information “signals,” data mining/big data, algorithm, filter bubble, political surveillance, funding of the Internet This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License. What “they” know about you and how they use it

2. Where does this topic fit? Internet concepts – Applications – Technology – Implications Internet skills – Application development – Content creation – User skills

3. What do they know about you? Who are “they?” How do “they” learn about you?

4. Voluntary accounts Might the place you register sell your information?

5. Voluntary profiles

6. Involuntary profiles

7. abcnews.go.com Facebook.com They know when you visit a Web site.

8. They know when you log in GigaOm is an Internet news and analysis site. You can log in to leave a comment using a third party like Twitter. If you do so, GigaOm gets access to your Twitter account as shown here. What do I gain and lose by logging in? What do Twitter and GigaOm gain when I log in? GigaOm terms of service Gigaom privacy policy

9. Google profile They know what you do. Language Searches Google plus 1 votes Gmail messages Calendar entries Facebook likes Product reviews Tweets Facebook timeline Facebook posts Google plus posts Blog posts Blog comments Video uploads Image uploads Re-tweets Email messages

10. They know where you are.

11. Where are you right now? What sites have you visited lately? What have you clicked on lately? They know when you did it or were there.

12. They know what your friends do.

13. In return, you get free services

14. In return, you get targeted search results

15. In return, you get targeted ads Video on ad targeting (1m 23s)

16. In return, you get friend suggestions

17. In return, you get information suggestions

18. Watch this video: http://youtu.be/J5RZOU6vK4Qhttp://youtu.be/J5RZOU6vK4Q How does Google use your search signals?

19. Is there a downside?

20. “There’s, say, an 87 percent chance that she’s pregnant and that her delivery date is sometime in late August.” Is this a useful service or an invasion of your privacy?

21. Is creating “filter bubbles” a problem?

22. Social targeting

23. Political division

24. “They” may not be advertisers Shi TaoWang Xiaoning

25. Who pays for the free Internet services you use?

26. Summary

27. Self-study questions 1.Do you have a Facebook profile? 2.How many profiles do you have on the Internet? 3.What have you revealed in those profiles? 4.Who can see your profile information? 5.Does Facebook share profile information with others? 6.Does your school or employer share information about you with others? 7.Who else shares information about you? 8.What services that you use are paid for by advertising? 9.How much would you be willing to pay per month for unlimited Google searches if there were no ads? 10.How much would you be willing to pay per Google search if there were no ads? 11.Do you pay attention to your Facebook privacy settings or did you just accept the default setting? 12.A large part of our investment in building the Internet has come from advertising revenue. Are there other means of raising capital for the Internet? 13.A large part of our investment in building the Internet has come from advertising revenue. Does this disturb you? (explain) 14.We saw a marketing example from Target stores. Are they offering a valuable service or invading women’s privacy? Will it lead to retail consolidation?

28. Resources Google video on the benefits of personalized search: http://bit.ly/xpA5Ne http://bit.ly/xpA5Ne Google video on the benefits of personalize ad targeting: http://youtu.be/PN0I_YlDF1A http://youtu.be/PN0I_YlDF1A Sixty Minutes segment on online tracking Short interview of Eli Pariser: http://ti.me/y67vZbhttp://ti.me/y67vZb Filter bubble TED Talk by Eli Pariser: http://www.ted.com/talks/view/lang/en//id/1091 http://www.ted.com/talks/view/lang/en//id/1091 Charles Duhigg, How Companies Learn Your Secrets, New York Times, February 16, 2012 http://nyti.ms/zfPImBhttp://nyti.ms/zfPImB New York Times article on data mining at Target: http://nyti.ms/YwY0g1 http://nyti.ms/YwY0g1 Blog post on Facebook’s prediction of sexual orientation and other things: http://bit.ly/16aF4Zchttp://bit.ly/16aF4Zc Ghostery – browser ad in for tracking sites that are tracking you: https://purplebox.ghostery.com/ https://purplebox.ghostery.com/ Disconnect – browser ad-in for identify sites that are tracking you: https://disconnect.me/https://disconnect.me/