1. Locality and Privacy in People-Nearby Applications Mike Lin UbiComp’13, September 8–12, 2013, Zurich, Switzerland

2. Outline Authors Introduction Related works People-Nearby Applications Methodology Discussion Comment

3. Authors Eran Toch LecturerDepartment of Industrial Engineering, The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University.

4. Authors Lab and Research Group at Tel Aviv University Junior Faculty - Cognitive Aspects of Human Factors, Quantitative Models of Human Performance at Tel Aviv UniversityTel Aviv University Project Manager & Inter-Enterprise Process Management System Designer at IBMIBM Security Staff at IAA

5. Outline Authors Introduction Related works People-Nearby Applications Methodology Discussion Comment

6. Introduction People-Nearby Applications (PNAs) For dating Grindr or Skout For finding activity partners Highlight or Circle

7. Introduction People-Nearby Applications (PNAs) For dating Grindr or Skout For finding activity partners Highlight or Circle

8. Introduction People-Nearby Applications (PNAs) For dating Grindr or Skout For finding activity partners Highlight or Circle

9. Introduction Badoo 175 million users Skout 1 million new users every month Grindr 4.1 million registered users

10. Introduction Two main contributions Analysis of usage patterns Connection of the physical realm and the digital realm

11. Introduction Circle http://www.youtube.com/watch?v=WYTT3FoKrMo SayHi http://www.youtube.com/watch?v=utAfdLVByLI

12. Outline Authors Introduction Related works People-Nearby Applications Methodology Discussion Comment

13. RELATED WORKS Privacy in location-based social applications Foursquare empirically explore emerging usage practices in the real world.

14. RELATED WORKS computer-mediated communication certain language-based strategies to reduce uncertainty

15. RELATED WORKS Hybrid ecology Dragon Quest 9 interact with each other in an urban environment

16. Outline Authors Introduction Related works People-Nearby Applications Methodology Discussion Comment

17. PEOPLE-NEARBY APPLICATIONS Focus provide general means of communication between strangers

18. PEOPLE-NEARBY APPLICATIONS Badoo is a social network where you can meet new people. Email, name, age,gender, sexual orientation

19. PEOPLE-NEARBY APPLICATIONS Banjo integrates the largest social networks to provide on-the-ground view. Facebook login

20. PEOPLE-NEARBY APPLICATIONS Blendr -The new way to make friends nearby. Birth date

21. PEOPLE-NEARBY APPLICATIONS Circle Social Radar to find your friends and contacts that are nearby. Facebook login

22. PEOPLE-NEARBY APPLICATIONS Highlight - Fun, simple way to learn more about the people around you. Facebook login

23. PEOPLE-NEARBY APPLICATIONS Grindr Grindr is the essential location-based app to meet gay, bi and curious guys for dating, socializing and friendship. Nickname

24. PEOPLE-NEARBY APPLICATIONS SayHi SayHi can help you find new people nearby! Nickname, sexual orientation, birthdate

25. PEOPLE-NEARBY APPLICATIONS Skout Instantly meet people near you or around theworld. Sexual orientation,search radius

26. PEOPLE-NEARBY APPLICATIONS

27. Outline Authors Introduction Related works People-Nearby Applications Methodology Discussion Comment

28. METHODOLOGY 100 KM or less from the interviewer. 320 users were invited Interviewed 25 participants.

29. METHODOLOGY Why do participants use the applications?

30. METHODOLOGY ’talking with new people’, ’dating’, and ’making new Friends’

31. METHODOLOGY Use of Location ”Of course that location is important. I want to find someone and meet her, so why should I waste time on just talking? I won’t talk with someone who is 200 kilometer away.” -Male

32. METHODOLOGY Use of Location I am here to meet people from Asia. I am interested in the Far East.”-Female

33. METHODOLOGY Use of Location ”I am here mainly to improve my English.”-Male

34. METHODOLOGY Use of Location ”the location does tell me a little about them, their culture, their perception.” -Female

35. METHODOLOGY Trust Approaches “nothing can help me trust people in this application”- Female

36. METHODOLOGY Trust Approaches “is not particularly safe”- Female

37. METHODOLOGY Trust Approaches “I do not believe that you can find someone who can be trusted through this app”.-Female

38. METHODOLOGY Trust Approaches “Deception is very easy. Everybody can fill in fake details into their profiles.”- Male

39. METHODOLOGY Trust Approaches “Everybody wears a mask when they are online”-Female

40. METHODOLOGY Trust Approaches “Everything seems to be fake here. I do not think that I will be ablento meet someone here... I do not trust these apps very much.” - Male

41. METHODOLOGY Trust Mechanisms location, profile, chat and blocking.

42. METHODOLOGY Trust Mechanisms “Knowing the distance kind of helps me trust people. The feeling is that you can trust someone nearby as he or she are not total strangers.”-Male

43. METHODOLOGY Trust Mechanisms Question: Does location helps you trust other people? Answer: -Male Yes, in a sense. Also, because they see where I am. If I am saying that I am somewhere near X and they see that its really so. On the other hand, its also possible to use [location] for deception by blocking it on the mobile..-Male

44. METHODOLOGY Trust Mechanisms Question: does the physical location [of the other person] affect your trust? Answer: -Female Yes. The further away I am, the more I believe there is no chance of meeting that person.

45. METHODOLOGY Trust Mechanisms “I try to ask a lot of questions, and to request photos to see if the person is trustworthy or not.”-Male

46. METHODOLOGY Trust Mechanisms “A profile picture and a picture album mean that the person is actually the person in the picture... Posts, vocabulary and location give an indication for intelligence and trust.”-Male

47. METHODOLOGY Trust Mechanisms “I ask some basic questions, and I continue to where it takes me. If I see that it [the chat] becomes harassing,I block right away.”-Female

48. METHODOLOGY Privacy Management Recognizable picture only 3 out of the 7 females exhibiting “I never give my [phone] number here or my Facebook [page].”-Female

49. METHODOLOGY Application Usage Context

50. METHODOLOGY Application Usage Context “I move them to Skype, with camera and all that.”- Female “Question: How do you make sure that someone is trustful? Answer: -Male Facebook. You cannot fake pictures with friends,and friends’ comments and stuff like that.”

51. Outline Authors Introduction Related works People-Nearby Applications Methodology Discussion Comment

52. DISCUSSION Pseudo-anonymized identity schema Public-hybrid ecology Search radius: Average of 50km,Standard deviation of 20km.

53. Outline Authors Introduction Related works People-Nearby Applications Methodology Discussion Comment

54. COMMENT Mark Zuckerberg -This is a map of all of the friendships formed on Facebook across the world. 2013/9/24

55. COMMENT Radius:90km