Facebook and Privacy: The Balancing Act of Personality, Gender, and Relationship Currency
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Facebook and Privacy: The Balancing Act of Personality, Gender, and Relationship Currency

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Paper on privacy and facebook

Paper on privacy and facebook
http://tinyurl.com/77yzf2c

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Facebook and Privacy: The Balancing Act of Personality, Gender, and Relationship Currency Facebook and Privacy: The Balancing Act of Personality, Gender, and Relationship Currency Presentation Transcript

  • Facebook and Privacy:The Balancing Act of Personality, Gender, and Relationship Currency@danielequercia
  • <who am i>
  • daniele quercia View slide
  • offline & online View slide
  • social media language personality social media
  • The Social World of Twitter WEDNESDAY 12:101. Brokers tend to cover diverse topics2. Users have a “typical” geo span3. “Happy” (“sad”) users do cluster together
  • YOU YOUR FRIENDS
  • Talk of the City TODAY 5:30 social media environment sports health wedding parties Spanish/Portuguese celebrity gossips
  • <goal>
  • focus on privacy…
  • Assign a number to each Facebook user
  • Assign a number to each Facebook user = user’s disposition to disclose & conceal what is considered private and public in Facebook
  • Easiest way: Count! looking education residence political religion hometown position employer X disclosed all 8 Y disclosed only 1
  • Our way: Item Response Theory (IRT)Traditional Goal: Design tests & build scales respondent’s disposition to answer difficult questions
  • Our way: Item Response Theory (IRT)Traditional Goal: Design tests & build scales Goal here: Design disclosure&concealment models & build scales
  • Our way: Item Response Theory (IRT)Traditional Goal: respondent’s disposition to answer difficult questionsGoal here: user’s disposition to disclose(conceal) what is private(public)
  • Our way: Item Response Theory (IRT) fields ( ) users 1..0.. field i discriminative power field i sensitive score user j disclosure attitude
  • DATA representative for age, gender, #contacts, distribution of traits N=1,323 Facebook Users in US (58% women) Age [18,60] median 24 #contacts [32,998]Apply IRT to what’s disclosed to * Facebook Community at large * Facebook Friends (one’s Social Circle)
  • 1 Smart Privacy Mob2 Who are they3 What they disclose
  • 1 Smart Privacy MobPreviously: Westin has divided people in 1. privacy fundamentalists 2. pragmatic majority 3. marginally concerned
  • 1 Smart Privacy MobPreviously: Westin has divided people in 1. privacy fundamentalists 2. pragmatic majority 3. marginally concerned We
  • 2 Who are they? Those who share more sensitive info are: • Open to new experience • Self-monitoring • Male • More Active • Younger
  • 2 Who are they? Those who share more sensitive info are: • Open to new experience • Open to new experience • Self-monitoring • Male • Male • More Active • Younger
  • 2 Who are they? Those who share more sensitive info are: • Open to new experience • Open to new experience • Self-monitoring • Male • Male • More Active • Younger
  • 2 Who are they? Those who share more sensitive info are: • Open to new experience • Open to new experience • Self-monitoring • Male • Male • More Active • Younger
  • 2 Who are they? Those who share more sensitive info are:Results: Good new experience analysis; not for (linear) prediction • Open to for descriptive • Open to new experienceBUT… • Self-monitoring • Male • Male • More Active • More Active • Younger
  • 3 What’s sensitive
  • 3 What’s sensitive
  • 3 What’s sensitive Social Currency OK to disclose OK to conceal
  • 3 What’s sensitive Community vs. Social Circle
  • So what?
  • Theoretical Implications
  • Practical Implications
  • Short term - Language & RecSys & Crime
  • Example 1: Twitter & Personality 1 listeners, popular, & influential: extrovert & emotionally stable 2 highly-read: open to new experiences
  • predicting personality with twitter
  • predicting personality with twitter YES, we can!
  • predicting personality with twitter st ed! , li ing low , fol ers low YES, we can! g fol sin y u onl And
  • Predicting Personality with Twitter
  • Estimate number of people in a place
  • share it all[by Facebook CEO]
  • share it all [by Facebook CEO] share nothing[by Wisdom of the Granmother’s Foundation]
  • share it all [by Facebook CEO]share fake data [by Us] share nothing[by Wisdom of the Granmother’s Foundation]
  • share fake data [by Us]
  • Idea:
  • true location ++ “99” fake locations
  • true location ++ “99” fake locations true location + + “99” fake locationstrue location ++ “99” fake locations
  • #phones?
  • (random)fake locations
  • Tube passengers in London & car drivers in Zurich: accurately estimate #people
  • @danielequercia