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Psychster LLC online psychological research

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Title: Psychster LLC online psychological research


1
What Elements of an Online Social Networking
Profile Predict Target-Rater Agreement in
Personality?
  • David C. Evans Ph.D.
  • Psychster LLC
  • Samuel D. Gosling Ph.D
  • University of Texas at Austin
  • Anthony Carroll
  • Psychster LLC

2
The Science of Interpersonal Perception
  • We know a lot about what people think about
    others personality, but far less about whether
    they are right.
  • If you study what one live person thinks about a
    fake person you get
  • Impressions. As thoughts about B.
  • Stereotypes. Whether A thinks B is like Bs
    group.
  • Consensus. Whether a bunch of As agree about B.
  • Projection. Whether A sees B in As own image.
  • Variables you can only get if you study two live
    people.
  • Self-Other Agreement or Impression Accuracy
    Whether A sees B as B sees him or herself.
  • Similarity. Whether A's and B's self-ratings are
    alike.
  • Accuracy, Meta-accuracy, Reciprocity, Assumed
    Projection

3
Impression Accuracy on the Web
  • Social media (networking sites, blogs,
    microblogs, photo sites, job sites) have become a
    central environment for interpersonal perception
    worldwide.
  • Are people getting to know each other via these
    media? Are they at least seeing others as the
    others see themselves? Under what conditions?

Flickr. Stabilo Boss.
4
Impression Accuracy on the Web
  • The present study addressed the following
    questions (see Funder, 1999)
  • How effectively are profile owners conveying
    their personality to visitors?
  • Are some profile elements more informative than
    others?
  • Are some people better at reading personality
    than others?
  • Are some people more easily read?

5
In Situ Method
  • We launched YouJustGetMe on the Facebook
    platform.
  • Users rated their own personalities on 21 items
    of the BFI-K (John, 2005) a Big-5 personality
    inventory.
  • Users formed impressions by answering the same 21
    items about others via questionnaires imbedded in
    others profiles.
  • Upon adding the app, users also registered on
    YouJustGetMe.com.
  • 4,484 impressions were collected on Facebook
    among participants who were 18 and older.

6
In Vitro Method
  • We created YouJustGetMe.com a fully functional
    social networking website.
  • We only analyzed the impressions of randomly
    assigned targets who had profile photos.
  • 819 impressions were collected on
    YouJustGetMe.com among participants who were 18
    and older.
  • Since then 9,469 impressions have been made by
    6,500 registered users .

7
Cmon, give something back.
Docdave saw Rachel like this
Rachel saw Rachel like this
How accurate was Docdave?
  • Big-5 domain scores of both the self-ratings and
    the guesses were displayed so users learned which
    traits they were right and wrong about.
  • The central DV of the study impression accuracy
    was calculated as the point-biserial Pearson r
    product-moment correlation between the
    self-ratings and the guesses. It was displayed to
    users. Fisher-z transformed rs gave the same
    results as the point-biserials.
  • Similarity and projection were also calculated
    and displayed.

8
Analysis
  • Do environments matter (Facebook vs.
    YouJustGetMe)? Does sex of rater and sex of
    target matter?
  • Analysis of Covariance (ANCOVA). Unit of analysis
    was the dyad. DV was the impression accuracy
    score (Pearson r). IVs included environment
    (Facebook vs. YouJustGetMe), rater sex, and
    target sex. Covaried out age.
  • Which profile elements (or clues) were
    associated with higher or lower impression
    accuracy? (YouJustGetMe only.)
  • Multiple regression. Unit of analysis was the
    dyad. Criterion (Y) was the impression accuracy
    score (Pearson r). Predictors (x) were 33 binary
    variables indicating simply whether a particular
    profile element was or was not answered by the
    target. Dummy codes tested facial photos (head
    and shoulders), non-human photos (tractors, cats,
    anime) and other photos (groups, distant shots).
    Controlled for rater targets age, sex,
    similarity projection.

9
Do environments differ? Does sex of rater and
sex of target matter?
guessing
  • People get each other. Overall impression
    accuracy was significantly above zero (r .41,
    SD .21), t(6862) 147, p
  • People on Facebook get each other better (r
    .42) than randomly assigned strangers on
    YouJustGetMe (r .29), F(1,5293) 170.4, p .001.
  • Women are better guessers than men, but only when
    guessing random strangers on YouJustGetMe.
    F(1,5293) 12.5, p
  • Women are easier to get, but only when guessed by
    random strangers on YouJustGetMe. F(1,5293)
    12.5, p

.43
.42
.33
.25
being guessed
.44
.41
.34
.24
10
Which profile elements matter? Which dont?
11
Disclosure mediates gender effect.
  • Women and men completed similar number of profile
    elements, p .2.
  • Women were significantly more likely to complete
    profile elements that predicted higher impression
    accuracy, ps
  • Controlling for choice of profile element
    eliminated target gender effect, p .3.

12
Discussion Which sources reveal which traits?
Source
Web site
Face book
Bed room
Office
Top-10 Music
Social beh.
Short FTF
Long term
Trait
Extraversion Agreeableness Conscientiousness Neuro
ticism Openness Mean
.29
.22
.37
.24
.42
.29
.14
.45
  • Gosling, S.D., Gaddis, S., and Vazire, S. 2007.
  • Gosling, S.D., Ko, S.J., Mannarelli, T., and
    Morris, M.E. 2002.
  • Rentfrow, P.J. Gosling, S.D. 2006.
  • Watson, D. 1989.

13
Discussion - Specific
  • How effectively are profile owners conveying
    their personality to visitors?
  • Online impression accuracy (whether visitors to
    Facebook and YouJustGetMe profiles saw the
    profile owners as they saw themselves) was
    significantly above chance.
  • People are posting information on their profiles
    that is consistent with their self-view of their
    personality, and that information is in turn
    consistent with the personality impression formed
    by visitors. This is also true of the
    impressions formed of strangers, which are
    overall less accurate that impressions of people
    in your network, but still above chance levels.
  • Are some judges better than others?
  • Women formed more accurate impressions of others
    than men, but only when they rated random
    strangers. On Facebook, were people rated others
    in their network, this gender difference
    disappeared.
  • Are some targets more easily judged?
  • Impressions of women were more accurate than
    impressions of men, but again, only on when they
    were rated by random strangers. On Facebook, were
    people were rated by others in their network,
    impressions of women and men were not
    significantly different.
  • Do certain profile elements hinder or assist the
    impression formation process?
  • Impression agreement was significantly higher
    when the profile owners made statements about
    their spirituality, beliefs, joys, embarrassing
    moments, proud moments, heroes, and when they
    gave links to funny videos.
  • Impression agreement was significantly lower when
    the profile owners posted pictures of
    non-persons, named an awful person or website, or
    surprisingly, named a great book.

14
Discussion - General
  • Why are certain profile elements better at
    conveying your personality?
  • Items that go deeper than traits and preferences
    to tap issues of values and identity seemed most
    revealing.
  • I understand why women are better at guessing.
    Why are they easier to guess?
  • Female targets were significantly more likely
    than male targets to disclose answers on the
    profile elements that were better predictors of
    impression agreement such as relationship saga
    and proudest thing I ever did.
  • However, male targets were significantly more
    likely to disclose their political views, great
    art, awful person, awful movie, and awful
    website.
  • Why were effects of rater and target gender found
    for the YouJustGetMe profiles and not the
    Facebook profiles?
  • This study cannot answer that conclusively, but
    we can speculate. The most likely reason is we
    analyzed Facebook impressions of people you chose
    but we only analyzed the YouJustGetMe impressions
    of people who you were randomly assigned to which
    would greatly diminish the likelihood that you
    knew them.
  • But additionally, Facebook profiles have a
    greater amount of information. Perhaps impression
    agreement had reached a ceiling for the Facebook
    profiles.

15
Discussion - General
  • Dont some people lie about themselves
    purposefully?
  • If profile owners are lying, they are lying to
    themselves on the self-ratings consistently with
    how they are lying when constructing their
    profiles.
  • Therefore, the majority are not purposefully
    creating a qualitatively different personality
    profile. If they are lying, it is a minority, or
    on other individual differences, or by
    incremental degrees of positive
    self-presentation.
  • We suspect that more often, profile owners are
    trying to manage the views they have of
    themselves with the impressions they make on a
    diverse array of peers, such that they converge
    in a beneficial way.

16
Select References
  • Funder, D.C. 1999. Personality judgment A
    realistic approach to person perception.
    Academic.
  • Green, R.K., Evans, D.C., Gosling, S.D. 2008.
    Researching first impressions in the age of
    online profiles. Psi Chi, The National Honor
    Society in Psychology, 12, 3.
  • Gosling, S.D., Gaddis, S., and Vazire, S. 2007.
    Personality impressions based on Facebook
    profiles. In Proceedings of the International
    Conference on Weblogs and Social Media (Boulder,
    Colorado, USA, March 26 - 28, 2007).
  • Gosling, S.D., Ko, S.J., Mannarelli, T., and
    Morris, M.E. 2002. A room with a cue Personality
    judgments based on offices and bedrooms. Journal
    of Personality and Social Psychology 82, 3
    (2002), 379-398.
  • John, O.P. 2005. BFI-K (Form S). Berkeley
    University of California, Berkeley, Institute of
    Personality and Social Research.
  • Kenny, D.A. 1994. Interpersonal perception A
    social relations analysis. Guilford Press.
  • Rentfrow, P. J., Gosling, S. D. 2006. Message
    in a Ballad The role of music preferences in
    interpersonal perception. Psychological Science,
    17 (2006), 236-242.
  • Vazire, S. and Gosling, S.D. 2004. e-Perceptions
    Personality impressions based on personal
    websites. Journal of Personality and Social
    Psychology, 87, 1(2004), 123-132
  • Watson, D. 1989. Strangers' ratings of the five
    robust personality factors Evidence for a
    surprising convergence with self-report. Journal
    of Personality and Social Psychology, 57, 1
    (July, 1989), 120-128.

17
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