Theory of Knowledge - Course Companion for Students Marija Uzunova Dang Arvin Singh Uzunov Dang

correlations. They developed a Facebook
the
called MyPersonality that offered users
app
personality tests and used the results to
free
the benchmark personality profile.
construct
app collected information about users’
The
and personal data, which formed the
Likes
set to be analysed for patterns and
data
with the benchmark profile.
correlations
tests analysed smartphone gyrometers
Some
revealed, for example, how erratically
that
handled their phones, which has
individuals
found to correlate with certain types
been
behaviour. The app went viral, collecting
of
on 6 million Facebook users. With such
data
data, the researchers were able to
extensive
their model iteratively.
refine
results returned correlations that were
The
stereotypical and sometimes
sometimes
high intelligence among the sample were
of
for “Thunderstorms”, “The Colbert
Likes
“Science” and “Curly Fries”, whereas
Report”,
intelligence was correlated with Likes for
low
“I Love Being A Mom”, “Harley
“Sephora”,
and “Lady Antebellum”. To dive
Davidson”
into this research and its results, follow
deeper
link to the original paper.
the
terms: Computer-based
Search
judgments are more
personality
a 2015 follow-up study of over
In
people, Kosinski and colleagues asserted
86,000
an algorithm mining a user's Likes “was
that
to predict a person’s personality (as self-
able
using a standard questionnaire) more
reported
than most of their friends and family.
accurately
a person’s spouse came close to matching
Only
computer’s results” (Wu et al 2015).
the
III. Methods and tools
III. Methods and tools
Single versus
0.67
in relationship
Parents together at 21
0.6
0.73
Smokes cigarettes
Drinks alcohol
0.7
0.65
Uses drugs
Caucasian versus
0.95
African American
Christianity versus Islam
0.82
Democrat versus
0.85
Republican
0.88
Gay
0.75
Lesbian
Gender
0.93
0.25 0.50
0.00
0.75 1.00
Area under curve
Figure 3.8
Accuracy with which some common personal characteristics were
predicted
accurate pnas
surprising. For example, the best predictors
73