Information Revelation and Privacy in Online Social Networks

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Information Revelation and Privacy in Online Social Networks

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Title: Information Revelation and Privacy in Online Social Networks


1
Information Revelation and Privacy in Online
Social Networks
  • Ralph Gross and Alessandro Acquisti
  • rgross_at_cs.cmu.edu acquisti_at_andrew.cmu.edu
  • Heinz Seminars, October 3rd, 2005

2
Information revelation and privacyin online
social networks
  • Online social networks (OSN) sites that
    facilitate interaction between members through
    their self-published personal profiles
  • How much do users of OSN reveal about themselves
    online?
  • A lot
  • To whom?
  • Friends and strangers
  • Why?

3
Why?
  • Rationality hypothesis signaling
  • Low privacy sensitivity
  • Herding behavior
  • Peer pressure
  • Myopic discounting
  • Incomplete information

4
Privacy, economics, and rationality
  1. Incomplete information
  2. Bounded rationality
  3. Affective processes, psychological/behavioral
    deviations from pure rationality model

5
Our study
  • Starts research on privacy implications of OSN
  • Provides first quantification of observed
    behavior
  • Studies actual usage data
  • Discusses trade-offs and incentives and advances
    behavioral hypotheses
  • Yet, still preliminary
  • Implications extend beyond OSN domain

6
Agenda
  • Online social networks
  • The Facebook
  • CMU students and the Facebook
  • Usage data
  • Patterns of information revelation
  • Inferred privacy preferences
  • Risks and trade-offs
  • User survey (pilot)
  • Users knowledge and expectations
  • Drivers and incentives
  • Next step
  • Experiments

7
Online Social Networks
8
What are online social networks?
  • Sites that facilitate interaction between members
    through their self-published personal profiles
  • Common core
  • Through the site, individuals offer
    representations of their selves to others to
    peruse, with the intention of contacting or being
    contacted by others, to meet new friends or
    dates, find new jobs, receive or provide
    recommendations,
  • Progressive diversification and sophistication of
    purposes and usage patterns
  • Social Software Weblog groups hundreds of social
    networking sites in nine categories (business,
    common interests, dating, facetoface
    facilitation, friends, pets, photos, )
  • Classifieds ltgt OSN ltgt blogs

9
A history of online social networks
  • 1960s Plato (University of Illinois)
  • 1997 SixDegrees.com
  • After 2002 commercial explosion
  • Friendster, Orkut, LinkedIn, ,
  • Viral growth with participation expanding at
    rates topping 20 a month
  • 7 million Friendster users 2 millions MySpace
    users 16 million registered on Tickle to take
    personality test (Leonard 2004)
  • Revenues advertising, data trading,
    subscriptions
  • Media attention Salon, NYT, Wired,

10
Research on online social networks
  • boyd (2003) trust and intimacy on OSN
  • Donath and boyd (2004) representation of self on
    OSN
  • Liu and Maes (2005) harvesting OSN for
    recommender systems
  • (some additional research uses OSN data for other
    purposes)

11
From (social) network theoryto online networks
  • Milgram (1967) the small world problem
  • Watts (2003) six degrees
  • Granovetter (1973, 1983) weak and strong ties
  • Milgram (1977) the familiar stranger
  • What about the unknown buddy?

12
Social network theory and privacy
  • Strahilevitz (2005)
  • Discourse about privacy should be based on what
    the parties should have expected to follow the
    initial disclosure of information by someone
    other than the defendant
  • Consideration of expected information flows
    within/outside somebodys social network should
    inform that persons expectations for privacy
  • However, application to online social network
    reveals challenges

13
Online vs offline social networks
  • Offline extremely diverse ties. Online
    simplistic binary relations (boyd 2004)
  • Number of strong ties not significantly
    increased, but number of weak ties can increase
    substantially (Donath and boyd 2004)
  • From a dozen of intimate ties plus 1000 to 1700
    acquaintances, to hundreds of direct friends
    and hundreds of thousands of relations

14
Hence
  • Online social networks are vaster and have more
    weaker ties than offline social networks
  • An imagined community?
  • Anderson (1991)
  • Intimacy and trust
  • Sharing same personal information with a large
    and potential unknown number of friends and
    strangers
  • Intimate with everybody? (Gerstein 1984)
  • Ability to meaningfully interact with others is
    mildly augmented, while ability of others to
    access the person is significantly enlarged

15
Online social networks and personal information
  • Pretense of identifiability changes across
    different types of sites
  • Anonymous ltgt Pseudonymous ltgt Fully identified
  • Type of information revealed or elicited often
    orbits around hobbies and interests, but can
    stride from there in different directions
  • From classified to journals
  • Visibility of information is highly variable
  • Members only
  • Everybody

16
Online social networks and privacy
  • Privacy implications of OSN depend on the level
    of identifiability of the information provided,
    its possible recipients, and its possible uses
  • Re-identification
  • Two directions knowngtadditional information
    unknowngtknown
  • To whom may identifiable information be made
    available?
  • Site, third-parties (hackers, government), users
    (little control on social network and its
    expansion)
  • Risks
  • From identity theft to online and physical
    stalking from embarrassment and blackmailing to
    spam and price discrimination

17
Online social networks and privacy
  • And yet
  • OSN can also offer tools to address online
    privacy problems
  • Social networking has the potential to create an
    intelligent order in the current chaos by letting
    you manage how public you make yourself and why
    and who can contact you. Tribe.net CEO Mark
    Pincus
  • Is that true?

18
The Facebook
19
The Facebook
  • www.facebook.com
  • Started February 2004
  • Attracted Silicon Valley funding
  • Has spread to 2000 schools and 4.2 million users
  • Typically attracts 80 percent of a schools
    undergraduate population
  • Also gets graduate students, faculty members,
    staff, and alumni
  • Now targeting high schools
  • Growing media attention

20
(No Transcript)
21
Facebooks privacy policy
  • is lax, but straightforwardly so
  • Facebook also collects information about you
    from other sources, such as newspapers and
    instant messaging services. This information is
    gathered regardless of your use of the Web Site.
  • We use the information about you that we have
    collected from other sources to supplement your
    profile unless you specify in your privacy
    settings that you do not want this to be done.
  • In connection with these offerings and business
    operations, our service providers may have access
    to your personal information for use in
    connection with these business activities.

22
Facebook and unique privacy issues
  • Unique data
  • Includes home location, current location (from IP
    address), etc.
  • Uniquely identified
  • College email account
  • Contact information
  • Ostensibly bounded community
  • Shared real space
  • or imagined community?

23
CMU students and the Facebook usage data
24
Studies
  • Gross and Acquisti, Proceedings of WPES 2005
  • Acquisti and Gross, Proceedings of PET 2006

25
Data gathering
  • In June 2005, we created Facebook profiles with
    different characteristics
  • E.g., degree of connectedness, geographical
    location,
  • We searched for CMU Facebook members profiles
    using advanced search feature and extracted
    profile IDs
  • Downloaded profiles
  • Inferred additional information not immediately
    visible from profiles

26
Demographics
27
Demographics
28
Demographics
29
Information revelation
30
Information revelation
  • Male users 63 more likely to leave phone number
    than female users
  • Single male users tend to report their phone
    numbers in even higher frequencies

31
Data verifiability
32
Data verifiability
33
Privacy risks
  • Stalking
  • Re-identification
  • Digital dossier

34
Privacy risks Stalking
  • Real-World Stalking
  • College life centers around class attendance
  • Facebook users put home address and class list on
    their profiles whereabouts are known for large
    portions of the day
  • Online stalking
  • Facebook profiles list AIM screennames
  • AIM lets users add buddies without notification
  • Unless AIM privacy settings have been changed,
    adversary can track when user is online

35
Privacy risks Re-identification
  • Demographics re-identification
  • 87 of US population is uniquely identified by
    gender, ZIP, date of birth (Sweeney, 2001)
  • Facebook users that put this information up on
    their profile could link them up to outside,
    de-identified data sources
  • Face re-identification
  • Facebook profiles often show high quality facial
    images
  • Images can be linked to de-identified profiles on
    e.g. Match.com or Friendster.com using face
    recognition
  • Social Security Number re-identification
  • Anatomy of a social security number xxx yy zzzz
  • Based on hometown and date of birth xxx and yy
    can be narrowed down substantially

36
Privacy risks Digital Dossier
  • Users reveal sensitive information (e.g. current
    partners, political views) in profiles
  • Simple script programs allow adversaries to
    continuously retrieve and save all profile
    information
  • Cheap hard drives enable essentially indefinite
    storage

37
Privacy risks
38
Data accessibility
39
Data accessibility
40
Data accessibility
  • Profile Searchability
  • We measured the percentage of users that changed
    search default setting away from being searchable
    to everyone on the Facebook to only being
    searchable to CMU users
  • 1.2 of users (18 female, 45 male) made use of
    this privacy setting
  • Profile Visibility
  • We evaluated the number of CMU users that changed
    profile visibility by restricting access from
    unconnected users
  • Only 3 profiles (0.06) in total fall into this
    category
  • Caveat We would not detect users who had made
    themselves both unsearchable and invisible within
    CMU network (safe to assume their number is very
    low)

41
Data accessibility
42
Actual data accessibilityAn imagined community?
  • Extensive, uncontrolled social networks
  • Fragile protection
  • Fake email addresses
  • Manipulating users
  • Geographical location
  • Advanced search features
  • Using advanced search features various profile
    information can be searched for, e.g.
    relationship status, phone number, sexual
    preferences, political views and (college)
    residence
  • By keeping track of the profile IDs returned in
    the different searches a significant portion of
    the previously inaccessible information can be
    reconstructed
  • AIM
  • Facebook profiles are, effectively, public data

43
Actual data accessibilityAn imagined community
  • What a great illustration of how things you
    might not mind being public in one context can
    cause all sorts of problems when they wind up
    globally public.
  • CMU student

44
Initial hypotheses
  • Default settings (Mackay 1991)/ Myopic
    discounting?
  • Less than 2 make their profiles less searchable
  • Less than 1 make their profiles less visible
  • Peer pressure
  • Incomplete information and biased perspectives
  • An imagined community
  • Or simply
  • Low privacy concerns
  • Signaling
  • Single males list phone number with highly
    significant more frequency than females

45
User survey (pilot)
46
(Pilot) Survey
  • Goals
  • Understand CMU Facebooks users degree of
    awareness about the site and its information
    revelation patterns understand their privacy
    attitudes and expectations
  • Thirty-six online questions
  • Anonymous, paid
  • Pilot
  • 50 subjects
  • Focused on Facebook users
  • Survey link

47
CAVEAT The following results are based on our
pilot test (50 subjects). Hence they must only be
considered suggestive trends rather than robust
evidence. We are now exploring the same questions
in the full survey please contact us for the
most recent results acquisti_at_andrew.cmu.edu.
48
Generic concerns (7-point Likert scale)
49
Specific concerns (7-point Likert scale)
50
Attitudes vs. behavior
  • Share of users with high sensitivity (Likert gt5)
    to partner/sexual orientation information who
    provide it on Facebook 70
  • Share of users with high sensitivity (Likert gt5)
    to home location and class schedule information
    who provide it on Facebook 32
  • Share of users with high sensitivity (Likert gt5)
    to contact information who provide it on
    Facebook 42

51
Awareness visibility and searchability
  • 21 incorrectly believe only CMU users can search
    their profiles
  • 71 do not realize that everybody at UPitt can
    search their profiles
  • 40 do not realize that anybody on Facebook can
    search their profiles
  • 31 do not realize that everybody at CMU can read
    their profiles
  • On the other side, 23 incorrectly believe that
    everybody on Facebook can read their profiles

52
Facebooks privacy policy, revisited
  • Facebook also collects information about you
    from other sources, such as newspapers and
    instant messaging services. This information is
    gathered regardless of your use of the Web Site.
  • 85 believe that is not the case
  • We use the information about you that we have
    collected from other sources to supplement your
    profile unless you specify in your privacy
    settings that you do not want this to be done.
  • 87 believe that is not the case
  • In connection with these offerings and business
    operations, our service providers may have access
    to your personal information for use in
    connection with these business activities.
  • 60 believe that is not the case
  • Control perusal of privacy policy does not
    improve awareness

53
Privacy concerns
  • 69 believe that the information other Facebook
    users reveal may create privacy risks for those
    users
  • But

54
Information revelation
  • Reasons to provide more personal information (in
    order of importance)
  • No factor in particular, it's just fun
  • No factor in particular, but the amount of
    information I reveal is necessary to me and other
    users to benefit from the FaceBook
  • No factor in particular, rather I am following
    the norms and habits common on the site
  • Quite simply, expressing myself and defining my
    online persona
  • Showing more information about me to "advertise"
    myself
  • ..
  • Getting more potential dates

55
Other privacy concerns
  • Reasons for low privacy concerns (in order of
    importance)
  • Control on information
  • Control on access
  • CMU environment
  • Student environment

56
Other privacy concerns
  • Does your Facebook profile contain information
    that you might not mind being "public" within the
    your Facebook or CMU network, but that would
    indeed bother you if other people could access
    (e.g., family, interviewers, etc.)?
  • 50 answer yes

57
Is it possible/likely?
58
Next steps
59
Next steps
  • Full survey
  • Users and non-users different privacy
    sensitivities?
  • Experiments
  • Control for initial privacy settings
  • Control for perception of other users
    information patterns
  • Control for perception of other users
    information revelation
  • Other scripts
  • Study evolution of a new network
  • Study dynamics of information revelation

60
Conclusions
  • OSN offer exciting ground for privacy research
  • Plenty of information revelation
  • Alternative explanations
  • Actual usage data
  • The unknown buddy?
  • An imagined community?

61
Conclusions
  • Facebook users claim, in general, to be concerned
    about their privacy but
  • Publish plenty of personal information
  • Do not use privacy enhancing features
  • However, they are both
  • uninformed about specific information revelation
    patterns
  • aware of generic possibilities
  • Suggestive evidence pointing towards
  • Signaling, but also
  • Myopic discounting
  • Incomplete information
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