well believe you are wearing
picnics to monitor your behavior and you get a hopefully improvement
in your health but you are carry a far more
far more useful monitor
which is your phone your phone
knows the words that you say and right
you receive and send and these words tell a tremendous amount
about you from them we can tell whether you're male or female with
ninety-three percent accuracy we get to eat within five years
we can profile your personality and your
health behaviors but the words also know about your interactions with
other people and those are tremendously influential the people around you
kept your mental health your physical health and those are highly connected
people who are happy and good relationships average
live five years longer that's comparable
to not smoking a huge diff I wanna show you
two sets of studies in the first we'll look at individual level modeling from
Facebook
sure we can see about people for their facebook posts and the second or she was
set up models from communities
looking at US counties the show the CPI to the county
get insight into the mental and
physical health up that county to redo
we have 70,000 volunteers who share
hold their facebook post they told us that they were male or female
they told us how old they were and they took a question year
personality questionnaire standard from psychology to characterize their
personality
we didn't count up their words reports
in Facebook and Twitter everything is a word and work on a phrase
and Chorley the words with age
sex personality health to see what we can worry about them
now let's start with something that's relatively clear that if it makes sense
see the words are most typical
most discriminative most predictive up being female
yeah it's a little bit embarrassing I'm sorry
um by didn't make this up it's very cliche
but these are the words most were to the same between males and females
these are the most extreme the female words enemies
sheesh pictures of a bunch of them the
color gives the frequency so love you in the heart Annex I did a very frequently
with Meyer baby
and the size gives the correlation strictly no discrimination
right cell big ones like the heart and shopping
%uh yummy in love him billion kick emails but not quite as frequent
and you can see the soul i guess im proud of
other but before you get upset
don't like pushing this about females this is what girls look like little boys
look like women look like
I'm a little embarrassed but like to point out there are some positive terms
in there
engineering government it's not just
oh and some subtle ones women talk about boyfriend her husband
men talk about my wife in my girlfriend but don't talk as much about someone
else's girlfriend
okay well thats pieces
I'm also wondering male-female let me show you some other
formal our response ratio results I could hear the same female slide but
sometimes it's easier a lot to female words to group them in the topics
so we've cluster word that tend to show up together
which tenant similar meetings in the clusters you can see that the female
words include
excitement cuteness happy birthday wishes
family 30 the topics often give more
insight as well as overall words will see several times this morning
males you can again see that there are
topic infighting and x-box playing but they're also topics on government
and of course football important things in life for males
okay that's men and women but
are 70,000 volunteers also took a detailed personality
questionnaire the five-factor model and we can look at the words a different
personalities
so it's not with hi extraversion these are
control for male and female balanced will activist look like
pretty good actually hams are happier the introverts
party a great night love you weekend chillin
that's not contrast that with low after version
introversion like my colleagues in the puter science for most the introverts
I S II
not quite so happy computers Internet
not surprisingly books in drawing in reading
but also some things that are positive in truth features
apparently words a little more complex ill
complexity in thinking carefully thinking about things um
not much depression a little bit so that
actively introversion I wanna show you now one more pair
neuroticism not
funded in erotic you're sick of things
life is a newly horrible angry my head
it's lonely okay
the op not surprising also my called psychological colleagues here to go to
college
but let's look at lunar right people well-adjusted people one well-adjusted
americans talk about
sports
was a surprise basketball volleyball snowboarding
Celtics Lakers well-adjusted
non-ionic people talk much more and presumably in Cajun much worse worth
doesn't talk about religion you can see the Lord in church
and blessed in Proverbs positive Corlett
go directly well this is the individual level model but
people but do these personality traits have
broader consequences in terms of surprising whole communities the people
the committee is all talk about today are goody
counties US counties I'm showing the top here the exact same slide a should you
well-adjusted individuals nooo
word topics cluster sets the words that show up in counties
that have low suicide rates healthy
counties talk about sports as well at least the second
half my talk which is to know the counties in communities
schools churches all have personalities to
and those personalities have a huge influence
on the people that live
inside sure the second set of results
we collected a billion tweets week mapped
many of them hundreds of millions down to the county level to see where they
came from
we correlated that then with data from the Centers for Disease Control
and from the US Census Department to say what words
from a county best predict or characterize
the well-being me that happiness skillet 125 how satisfied are you with life
or mortality hard data on
people dying of heart disease so throwed life satisfaction
what words are predictable a community
being on average happier and at the top
I've got eight clusters topics which are positively correlated
at the bottom two that are negatively correlated so
what counties are happier those which have
ideas and suggestions those who do
here not so much after sports but training personal training
them humans experience customer service good job
skirt right after communities whereas money show up
happiness one topic
like the top green donation
on average counties that
talk more about giving money are happier counties
this is true by the way only for the wealthier counties if you're poor
donation is not desirable but if you want to its corresponds to individual
the
results that we know belittle the play experiment
you all here's 10 bucks go buy yourself a nice present
little one and come back in 30 here's 10 bucks for you guys
go by a friend a present and come back in three hours
who's happier after three hours the ones who
bought something for their friends giving money away
is actually of a good path toward
what characterizes counties are less happy
are less features there but being forward
okay not so exciting but we'll see that
it's not Jess happiness that has these attacks but also
help so we grabbed with the scene said
I'll quarter billion tweets the words
and ground from the Centers for Disease Control mortality from atherosclerotic
heart disease
so how what fraction population each county
died from pardon the are and look at the words
their most predictive I'll people dying as a slightly odd
because the people tweeting the ones die
the people tweeting or their teens and twenties and thirties
the people dying of heart disease are in their 50s 60s 70s
hopefully eighties but nonetheless
if you live in a community that community has a personality profile so
what words
do show up in hi heart disease mortality counties
not so fun
either it's not just happiness this is death life-and-death
and in ones with low heart disease mortality
looks nice
mixture I'll good jobs and
a positive tenement we can get a better picture looking at the topics
these clusters the words to see which topic clusters
most correlate with all lower heart disease on the top in green
or higher heart disease at the county level below so
what do you want your neighbors to be tweeting about
overcoming challenges opportunities and possibilities
fantastic weekends what do you not
want your neighbors between the amount I
bullshit hate drama the
personality your community sex
you war longevity not just your happiness but your help
how big is this effect well we have a lot of demographics
for the different counties me know what the normal correlates are the causes in
fact
a heart disease being black is unfortunately
positively correlated with heart disease in the US being fact
having hypertension having diabetes is really bad
smoking is bad having low-income education is really bad
all those combine explain
up paramount very its partners easy I used Twitter
alone the blue knit top Twitter alone
gives more predictive power for heart disease
the top 10 demographic and behavioral
treats better captures both socioeconomic status
how rich or poor are you it also captures though the mood in personality
how angry how positive how well adjusted
is your community so
the words in your community have a big
impact on the word that you hear NC
around you shape how will
you thrive both mentally and
physically so
we look at two levels here at the individual level we can do remarkably
good
profiling people I can tell them your Facebook
your personality has accurately as your friends can
I can't diagnose whether you're depressed or not
as accurately as a to questions screen
we use in the hospital here University Pennsylvania we can tell a lot there
but we also know a lot not despite what your
tweeting or texting but also what your
friends are doing what your community is telling there
communities are tremendously important study after study suggesting
that everything is contagious not just happiness
or smoking but obesity what's the doctor
already think transmitted shattered by word
and those words or impact capture by your phone
not just your texts and tweets but increasingly your spoken words as well
this presents a wonderful opportunity for building
monitors based on phone to look at the words people use we're going now into
against the clinics to help pregnant women with their choice
decided on the monitored for depression risk after pregnancy
we're going into OP Lloyd treatment clinics with people's permission
monitoring to see what triggers what drives them to either successfully
complete treatment
or to drop out and you but monitoring words is not
just for those who are depressed or addicted
it's something that's important for all of us were all influence tremendously by
our friends
our families our neighbors our coworkers
and the school's start
offer the possibility that you can have it always
on monitor profiling what you're saying
what you're reading what you're hearing the question
you will have the opportunity and the choice
at least I hope you'll have the choice as to whether you want to be
monitored what you want to have recorded not recorded in your conversations and
analyzed what
would you like to know about how your words
affect your friends and neighbors what would you like to know about
how their words affect you thank you