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Thin Slices of Online Profiles Kristin Stecher and Scott Counts
Impression Formation Process  Realistic Accuracy Model (Funder, 1995)
Thin Slices of Behaviors ,[object Object],[object Object],[object Object],[object Object],[object Object],http://www.wjh.harvard.edu/~na/
Thin Slices Predict ,[object Object],[object Object],[object Object],[object Object]
Online
Hypotheses ,[object Object],[object Object]
 
Part I, Brief Profiles “ Your task is to find a friend in this social network.” Compare sets of 3 profiles. 1. Choose an important attribute. 2. View your selected attributes. 3. Rank the profiles. 44 Participants
Part I, Brief Profiles  ,[object Object],[object Object]
Part II, Full Profiles ,[object Object],[object Object],[object Object]
H1: Users can make predictive inferences using brief profiles. ,[object Object],Offline meta-analysis, r=0.39.  (Ambady & Rosenthal, 1992)
H1: Users can make predictive inferences using brief profiles. ,[object Object],Offline meta-analysis, r=0.20, 0.27.  (Ambady et al., 1992)
H2: Some attributes contribute more meaningfully to brief profiles. ,[object Object],[object Object],[object Object]
Attribute Perceived Utility Attribute Perceived Utility Photo  31.8% Gender  15.7% Interests  29.1% Relationship Status  13.9% Interested In  28.9% College  13.0% About Me  26.4% Full Name  13.0% Political Views  25.7% Concentration  12.7% Activities  24.5% Status  12.7% Looking For  22.5% Current Town  11.1% Movies  21.4% Hometown  10.7% Religious Views  21.4% Number of Friends  10.5% Quotes  19.8% Last Updated  9.5% Employer  18.9% Name  9.3% Books  18.2% Networks  9.3% TV Shows  16.6% Birthday  8.0% Music  16.4% High School  6.6% Number of Groups  6.1%
Attribute Predictiveness  Attribute Predictiveness Name  14.9 Interested In  17.6 High School  15.0 Full Name  17.7 Gender  15.7 Looking For  17.7 Photo  15.9 Political Views  17.7 Status  15.9 Movies  17.9 Number of Groups  16.1 Books  18.2 Activities  16.6 Concentration  18.6 About Me  16.7 Relationship Status  18.7 Interests  16.7 Music  18.8 Number of Friends  16.8 College  18.9 Hometown  17.0 Religious Views  18.9 Birthday  17.5 Networks  19.0 Current Town  17.5 Quotes  19.7 Employer  17.6 TV Shows  20.6 Last Updated  21.1
Attribute Diagnosticity Attribute Diagnosticity College  2.75 Quotes  2.35 TV Shows  2.70 Interested In  2.34 Music  2.66 Books  2.33 Looking For  2.61 Relationship Status  2.27 Networks  2.58 Current Town  2.15 Movies  2.54 Activities  2.14 Gender  2.47 Photo 2.12 Religious Views  2.41 Last Updated  2.09 Employer  2.40 Full Name  2.07 Hometown  2.40 Status  2.02 Political Views  2.40 Concentration  2.00 Birthday  2.39 High School  1.98 Interests  2.37 About Me 1.92 Number of Friends  2.37 Number of Groups  1.89 Name  1.71
Predictiveness x Diagnosticity  Trade-Off’s y = 95.77x4 - 804.0x3 + 2490.x2 - 3360.x + 1709
Manipulate Goal ,[object Object],[object Object]
H1: Users can make predictive inferences using brief profiles. ,[object Object]
H1: Users can make predictive inferences using brief profiles. ,[object Object]
Attribute Perceived Utility Attribute Perceived Utility Photo  55.6% College  14.1% Interests  35.5% Looking For  12.5% About Me  34.9% Gender  12.3% TV Shows  26.2% Relationship Status  12.2% Activities  25.6% Networks  11.5% Movies  24.1% Current Town  11.1% Music  23.6% Birthday  9.0% Interested In  22.9% Full Name  9.0% Books  21.1% Status  8.6% Quotes  21.0% Last Updated  8.5% Political Views  18.2% Hometown  8.1% Employer  17.4% Name  7.4% Concentration  15.1% High School  7.3% Religious Views  14.5% Number of Groups  7.1% Number of Friends  5.6%
Attribute Predictiveness  Attribute Predictiveness Photo  17.8 Last Updated  20.8 Employer  18 Interested In  21 Hometown  18.3 College  21.1 Interests  18.3 Concentration  21.1 Current Town  18.7 Political Views  21.1 Movies  18.7 Quotes  21.1 Activities  18.8 Relationship Status  21.2 About Me  18.9 Birthday  21.4 Books  19 Number of Friends  21.5 TV Shows  19.4 Status  22.1 Networks  20 High School  22.4 Full Name  20.2 Name  22.8 Music  20.4 Religious Views  23 Gender  20.8 Number of Groups  23.1 Looking For  23.9
Attribute Diagnosticity Attribute Diagnosticity Religious Views  2.78 Activities  2.16 Employer  2.62 Movies  2.09 Photo  2.55 About Me  2.08 Current Town  2.46 Full Name  2.05 Number of Groups  2.37 Interests  2.04 TV Shows  2.35 Music  2.04 Political Views  2.34 Interested In  2.02 Concentration  2.33 Name  1.99 High School  2.32 Networks  1.99 Last Updated  2.31 Gender  1.89 Birthday  2.3 Status  1.86 Books  2.27 Looking For  1.85 Number of Friends  2.26 Relationship Status  1.75 Hometown  2.19 Activities  2.16 Movies  2.09
H2: Some attributes contribute more meaningfully to brief profiles. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Predictiveness x Diagnosticity  y = 612.1x 4  - 5417x 3  + 17885x 2  - 26106x+14264
Suggestion
Thin Slices of Online Profiles Kristin Stecher and Scott Counts

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Thin Slices of Online Profile Attributes

  • 1. Thin Slices of Online Profiles Kristin Stecher and Scott Counts
  • 2. Impression Formation Process Realistic Accuracy Model (Funder, 1995)
  • 3.
  • 4.
  • 6.
  • 8. Part I, Brief Profiles “ Your task is to find a friend in this social network.” Compare sets of 3 profiles. 1. Choose an important attribute. 2. View your selected attributes. 3. Rank the profiles. 44 Participants
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Attribute Perceived Utility Attribute Perceived Utility Photo 31.8% Gender 15.7% Interests 29.1% Relationship Status 13.9% Interested In 28.9% College 13.0% About Me 26.4% Full Name 13.0% Political Views 25.7% Concentration 12.7% Activities 24.5% Status 12.7% Looking For 22.5% Current Town 11.1% Movies 21.4% Hometown 10.7% Religious Views 21.4% Number of Friends 10.5% Quotes 19.8% Last Updated 9.5% Employer 18.9% Name 9.3% Books 18.2% Networks 9.3% TV Shows 16.6% Birthday 8.0% Music 16.4% High School 6.6% Number of Groups 6.1%
  • 15. Attribute Predictiveness Attribute Predictiveness Name 14.9 Interested In 17.6 High School 15.0 Full Name 17.7 Gender 15.7 Looking For 17.7 Photo 15.9 Political Views 17.7 Status 15.9 Movies 17.9 Number of Groups 16.1 Books 18.2 Activities 16.6 Concentration 18.6 About Me 16.7 Relationship Status 18.7 Interests 16.7 Music 18.8 Number of Friends 16.8 College 18.9 Hometown 17.0 Religious Views 18.9 Birthday 17.5 Networks 19.0 Current Town 17.5 Quotes 19.7 Employer 17.6 TV Shows 20.6 Last Updated 21.1
  • 16. Attribute Diagnosticity Attribute Diagnosticity College 2.75 Quotes 2.35 TV Shows 2.70 Interested In 2.34 Music 2.66 Books 2.33 Looking For 2.61 Relationship Status 2.27 Networks 2.58 Current Town 2.15 Movies 2.54 Activities 2.14 Gender 2.47 Photo 2.12 Religious Views 2.41 Last Updated 2.09 Employer 2.40 Full Name 2.07 Hometown 2.40 Status 2.02 Political Views 2.40 Concentration 2.00 Birthday 2.39 High School 1.98 Interests 2.37 About Me 1.92 Number of Friends 2.37 Number of Groups 1.89 Name 1.71
  • 17. Predictiveness x Diagnosticity Trade-Off’s y = 95.77x4 - 804.0x3 + 2490.x2 - 3360.x + 1709
  • 18.
  • 19.
  • 20.
  • 21. Attribute Perceived Utility Attribute Perceived Utility Photo 55.6% College 14.1% Interests 35.5% Looking For 12.5% About Me 34.9% Gender 12.3% TV Shows 26.2% Relationship Status 12.2% Activities 25.6% Networks 11.5% Movies 24.1% Current Town 11.1% Music 23.6% Birthday 9.0% Interested In 22.9% Full Name 9.0% Books 21.1% Status 8.6% Quotes 21.0% Last Updated 8.5% Political Views 18.2% Hometown 8.1% Employer 17.4% Name 7.4% Concentration 15.1% High School 7.3% Religious Views 14.5% Number of Groups 7.1% Number of Friends 5.6%
  • 22. Attribute Predictiveness Attribute Predictiveness Photo 17.8 Last Updated 20.8 Employer 18 Interested In 21 Hometown 18.3 College 21.1 Interests 18.3 Concentration 21.1 Current Town 18.7 Political Views 21.1 Movies 18.7 Quotes 21.1 Activities 18.8 Relationship Status 21.2 About Me 18.9 Birthday 21.4 Books 19 Number of Friends 21.5 TV Shows 19.4 Status 22.1 Networks 20 High School 22.4 Full Name 20.2 Name 22.8 Music 20.4 Religious Views 23 Gender 20.8 Number of Groups 23.1 Looking For 23.9
  • 23. Attribute Diagnosticity Attribute Diagnosticity Religious Views 2.78 Activities 2.16 Employer 2.62 Movies 2.09 Photo 2.55 About Me 2.08 Current Town 2.46 Full Name 2.05 Number of Groups 2.37 Interests 2.04 TV Shows 2.35 Music 2.04 Political Views 2.34 Interested In 2.02 Concentration 2.33 Name 1.99 High School 2.32 Networks 1.99 Last Updated 2.31 Gender 1.89 Birthday 2.3 Status 1.86 Books 2.27 Looking For 1.85 Number of Friends 2.26 Relationship Status 1.75 Hometown 2.19 Activities 2.16 Movies 2.09
  • 24.
  • 25. Predictiveness x Diagnosticity y = 612.1x 4 - 5417x 3 + 17885x 2 - 26106x+14264
  • 27. Thin Slices of Online Profiles Kristin Stecher and Scott Counts