so my dad has this saying if you’re not paying for it you’re the product I want
paying for it you’re the product I want
paying for it you’re the product I want to talk a little about what an internet
to talk a little about what an internet
to talk a little about what an internet based on this premise could mean for our
based on this premise could mean for our
based on this premise could mean for our future let’s say I’m looking for new
future let’s say I’m looking for new
future let’s say I’m looking for new shoes maybe I’m not even sure what shoes
shoes maybe I’m not even sure what shoes
shoes maybe I’m not even sure what shoes I want so I go to a shoe store a big
I want so I go to a shoe store a big
I want so I go to a shoe store a big shoe warehouse with rows of shoes as far
shoe warehouse with rows of shoes as far
shoe warehouse with rows of shoes as far as the eye can see I want to explore my
as the eye can see I want to explore my
as the eye can see I want to explore my options but the second I walk in a shoe
options but the second I walk in a shoe
options but the second I walk in a shoe sales rep sees the Nikes on my feet and
sales rep sees the Nikes on my feet and
sales rep sees the Nikes on my feet and scoops up a box of shoes and proceeds to
scoops up a box of shoes and proceeds to
scoops up a box of shoes and proceeds to follow me around the store showing me
follow me around the store showing me
follow me around the store showing me all the options of shoes he thinks I
all the options of shoes he thinks I
all the options of shoes he thinks I want to see and obstructing my view of
want to see and obstructing my view of
want to see and obstructing my view of all the numerous rows of shoes in the
all the numerous rows of shoes in the
all the numerous rows of shoes in the warehouse in this situation it’d be
warehouse in this situation it’d be
warehouse in this situation it’d be reasonable for anyone to say no thank
reasonable for anyone to say no thank
reasonable for anyone to say no thank you please stop showing me shoes I’d
you please stop showing me shoes I’d
you please stop showing me shoes I’d like to look on my own now but on the
like to look on my own now but on the
like to look on my own now but on the Internet you don’t get this choice
Internet you don’t get this choice
Internet you don’t get this choice almost everything you search for
almost everything you search for
almost everything you search for everything you see and everything
everything you see and everything
everything you see and everything suggested for you is targeted
suggested for you is targeted
suggested for you is targeted specifically for you
specifically for you
specifically for you it’s the cyber equivalent of this
it’s the cyber equivalent of this
it’s the cyber equivalent of this salesperson this is an analogy for the
salesperson this is an analogy for the
salesperson this is an analogy for the modern Internet but to understand where
modern Internet but to understand where
modern Internet but to understand where we are and how we got here
we are and how we got here
we are and how we got here we need to take a step back and talk
we need to take a step back and talk
we need to take a step back and talk about the evolution of the Internet of
about the evolution of the Internet of
about the evolution of the Internet of Things the Internet is great in so many
Things the Internet is great in so many
Things the Internet is great in so many ways it connects us to people we’d never
ways it connects us to people we’d never
ways it connects us to people we’d never be able to talk to otherwise and if I
be able to talk to otherwise and if I
be able to talk to otherwise and if I were in the 90s looking at the Internet
were in the 90s looking at the Internet
were in the 90s looking at the Internet as it was kicking off I’d be thinking
as it was kicking off I’d be thinking
as it was kicking off I’d be thinking wow this is going to be such a great
wow this is going to be such a great
wow this is going to be such a great advance for Humanity the knowledge and
advance for Humanity the knowledge and
advance for Humanity the knowledge and discovery and communication are no
discovery and communication are no
discovery and communication are no longer limited by location or education
longer limited by location or education
longer limited by location or education or means it’s truly the democratization
or means it’s truly the democratization
or means it’s truly the democratization of information flow where once big news
of information flow where once big news
of information flow where once big news outlets controlled what was relevant and
outlets controlled what was relevant and
outlets controlled what was relevant and printed now anyone can be a voice of
printed now anyone can be a voice of
printed now anyone can be a voice of thoughts information knowledge each
thoughts information knowledge each
thoughts information knowledge each website its own voice so wouldn’t that
website its own voice so wouldn’t that
website its own voice so wouldn’t that improve discourse promote tolerance and
improve discourse promote tolerance and
improve discourse promote tolerance and raise awareness of the world around us
raise awareness of the world around us
raise awareness of the world around us presumably due to the diversity of
presumably due to the diversity of
presumably due to the diversity of thoughts and information in the world we
thoughts and information in the world we
thoughts and information in the world we constantly be presented with beliefs
constantly be presented with beliefs
constantly be presented with beliefs some agreeable and some opposing our own
some agreeable and some opposing our own
some agreeable and some opposing our own beliefs but we all know that’s not
beliefs but we all know that’s not
beliefs but we all know that’s not really the case right now and why is
really the case right now and why is
really the case right now and why is that gradually over time communities on
that gradually over time communities on
that gradually over time communities on the internet developed repiy
the internet developed repiy
the internet developed repiy people with specific interests could
people with specific interests could
people with specific interests could congregate to share their beliefs and
congregate to share their beliefs and
congregate to share their beliefs and relate etc in the early days of the web
relate etc in the early days of the web
relate etc in the early days of the web this division of the general space of
this division of the general space of
this division of the general space of the internet into small unrepresentative
the internet into small unrepresentative
the internet into small unrepresentative pockets of people was very clearly
pockets of people was very clearly
pockets of people was very clearly defined by chat rooms a user could step
defined by chat rooms a user could step
defined by chat rooms a user could step from the general space of the internet
from the general space of the internet
from the general space of the internet in and out of more specific information
in and out of more specific information
in and out of more specific information in a chat room to more general
in a chat room to more general
in a chat room to more general information on the Internet at large
information on the Internet at large
information on the Internet at large over time more and more people began to
over time more and more people began to
over time more and more people began to migrate to fewer and fewer access points
migrate to fewer and fewer access points
migrate to fewer and fewer access points for information currently we only have
for information currently we only have
for information currently we only have about a handful of content providers
about a handful of content providers
about a handful of content providers Google Facebook YouTube to name a couple
Google Facebook YouTube to name a couple
Google Facebook YouTube to name a couple these content providers are the internet
these content providers are the internet
these content providers are the internet salespeople they’re selling you what
salespeople they’re selling you what
salespeople they’re selling you what they think you want to see based on what
they think you want to see based on what
they think you want to see based on what they know about you and this information
they know about you and this information
they know about you and this information is usually some amount that has
is usually some amount that has
is usually some amount that has accumulated since you started visiting
accumulated since you started visiting
accumulated since you started visiting their site but sometimes the information
their site but sometimes the information
their site but sometimes the information is bought so before you even visit their
is bought so before you even visit their
is bought so before you even visit their site they have a pretty good idea of
site they have a pretty good idea of
site they have a pretty good idea of what who they think you are this
what who they think you are this
what who they think you are this provides us with the survival of the
provides us with the survival of the
provides us with the survival of the fittest
fittest
fittest we’ve put exceeding amounts of pressure
we’ve put exceeding amounts of pressure
we’ve put exceeding amounts of pressure on these few companies to provide us
on these few companies to provide us
on these few companies to provide us with what we want to see and the last 10
with what we want to see and the last 10
with what we want to see and the last 10 years has given us numerous ways to do
years has given us numerous ways to do
years has given us numerous ways to do this content targeting algorithms are
this content targeting algorithms are
this content targeting algorithms are just a statistical programming way of
just a statistical programming way of
just a statistical programming way of sorting and predicting things with data
sorting and predicting things with data
sorting and predicting things with data user data in this case it’s surprising
user data in this case it’s surprising
user data in this case it’s surprising how well algorithms can predict this
how well algorithms can predict this
how well algorithms can predict this when I open up Google I’m expecting to
when I open up Google I’m expecting to
when I open up Google I’m expecting to see a smattering of information roughly
see a smattering of information roughly
see a smattering of information roughly in ranked in terms of popularity when I
in ranked in terms of popularity when I
in ranked in terms of popularity when I open up Facebook I’m expecting to see a
open up Facebook I’m expecting to see a
open up Facebook I’m expecting to see a sample of everything that’s happening in
sample of everything that’s happening in
sample of everything that’s happening in my social circles when I go to the front
my social circles when I go to the front
my social circles when I go to the front page of YouTube I expect to see the
page of YouTube I expect to see the
page of YouTube I expect to see the music and videos that are popular today
music and videos that are popular today
music and videos that are popular today but what I’m ending up with is a real
but what I’m ending up with is a real
but what I’m ending up with is a real small subset in reality I’m seeing what
small subset in reality I’m seeing what
small subset in reality I’m seeing what these content providers think I should
these content providers think I should
these content providers think I should see based on what they know about me and
see based on what they know about me and
see based on what they know about me and lines dividing groups of people on the
lines dividing groups of people on the
lines dividing groups of people on the internet today are completely invisible
internet today are completely invisible
internet today are completely invisible I’m part of a group of people maybe even
I’m part of a group of people maybe even
I’m part of a group of people maybe even as few as just myself
as few as just myself
as few as just myself open up Facebook to see a specific
open up Facebook to see a specific
open up Facebook to see a specific combination of information out of all
combination of information out of all
combination of information out of all the possible things I could be seeing on
the possible things I could be seeing on
the possible things I could be seeing on my newsfeed it’s not random there’s a
my newsfeed it’s not random there’s a
my newsfeed it’s not random there’s a dollar sign attached to knowing
dollar sign attached to knowing
dollar sign attached to knowing everything about you so where you’re
everything about you so where you’re
everything about you so where you’re from what websites you visited and what
from what websites you visited and what
from what websites you visited and what browser you’re on what computer you’re
browser you’re on what computer you’re
browser you’re on what computer you’re using is all used and all determines
using is all used and all determines
using is all used and all determines what you see online turning on the TV to
what you see online turning on the TV to
what you see online turning on the TV to Good Morning America is now opening up
Good Morning America is now opening up
Good Morning America is now opening up Facebook – good morning
Facebook – good morning
Facebook – good morning Sam it’s scary how good these content
Sam it’s scary how good these content
Sam it’s scary how good these content targeting algorithms are I’m going to be
targeting algorithms are I’m going to be
targeting algorithms are I’m going to be graduating in a month and I keep seeing
graduating in a month and I keep seeing
graduating in a month and I keep seeing post like ten worst job interview
post like ten worst job interview
post like ten worst job interview stories of all times and six things you
stories of all times and six things you
stories of all times and six things you should never put up with on your first
should never put up with on your first
should never put up with on your first job and my personal favorite ten do’s
job and my personal favorite ten do’s
job and my personal favorite ten do’s and don’ts when moving back in with your
and don’ts when moving back in with your
and don’ts when moving back in with your parents
parents
parents thanks Facebook real vote of confidence
thanks Facebook real vote of confidence
thanks Facebook real vote of confidence there these machine learning algorithms
there these machine learning algorithms
there these machine learning algorithms are absolutely brilliant you don’t even
are absolutely brilliant you don’t even
are absolutely brilliant you don’t even need to know what you’re searching for
need to know what you’re searching for
need to know what you’re searching for to happen upon some type of insight in
to happen upon some type of insight in
to happen upon some type of insight in the population you’re studying but
the population you’re studying but
the population you’re studying but unknowingly widespread use of these
unknowingly widespread use of these
unknowingly widespread use of these algorithms is biasing how people see the
algorithms is biasing how people see the
algorithms is biasing how people see the world around them and it’s affecting
world around them and it’s affecting
world around them and it’s affecting their it’s reaffirming their existing
their it’s reaffirming their existing
their it’s reaffirming their existing beliefs but what I’m really getting at
beliefs but what I’m really getting at
beliefs but what I’m really getting at is the shoe warehouse is vanishing
is the shoe warehouse is vanishing
is the shoe warehouse is vanishing before our eyes and our entire
before our eyes and our entire
before our eyes and our entire perception of the Internet is becoming
perception of the Internet is becoming
perception of the Internet is becoming the shoe sales person’s offerings it
the shoe sales person’s offerings it
the shoe sales person’s offerings it sounds so simple but it’s really quite
sounds so simple but it’s really quite
sounds so simple but it’s really quite invisible there’s just so much out there
invisible there’s just so much out there
invisible there’s just so much out there in the vastness of the internet that
in the vastness of the internet that
in the vastness of the internet that even the most small customized subset of
even the most small customized subset of
even the most small customized subset of this vastness can feel like an entire
this vastness can feel like an entire
this vastness can feel like an entire universe unto itself
universe unto itself
universe unto itself every point of access to information on
every point of access to information on
every point of access to information on the Internet is being censored with what
the Internet is being censored with what
the Internet is being censored with what content providers think you want to see
content providers think you want to see
content providers think you want to see it reminds me of this great book called
it reminds me of this great book called
it reminds me of this great book called feed where every character has a device
feed where every character has a device
feed where every character has a device embedded into their brainstem and
embedded into their brainstem and
embedded into their brainstem and companies send them content right to
companies send them content right to
companies send them content right to their eyes and ears the characters
their eyes and ears the characters
their eyes and ears the characters entire world right down to their senses
entire world right down to their senses
entire world right down to their senses is customized and sold right back to
is customized and sold right back to
is customized and sold right back to them kind of sounds like the modern
them kind of sounds like the modern
them kind of sounds like the modern internet experience these characters
internet experience these characters
internet experience these characters become incredibly small-minded and
become incredibly small-minded and
become incredibly small-minded and unaware as their world crumbles around
unaware as their world crumbles around
unaware as their world crumbles around them a good example of the
them a good example of the
them a good example of the dangers of content targeting algorithms
dangers of content targeting algorithms
dangers of content targeting algorithms is the fake news outbreak that play 2016
is the fake news outbreak that play 2016
is the fake news outbreak that play 2016 for instance a group of Macedonian men
for instance a group of Macedonian men
for instance a group of Macedonian men realized that it could be profitable to
realized that it could be profitable to
realized that it could be profitable to write inflammatory and mind you
write inflammatory and mind you
write inflammatory and mind you completely fake news stories and post
completely fake news stories and post
completely fake news stories and post them on Facebook and generate revenue
them on Facebook and generate revenue
them on Facebook and generate revenue from the ad banners on the sides
from the ad banners on the sides
from the ad banners on the sides Facebook content targeting algorithms
Facebook content targeting algorithms
Facebook content targeting algorithms would then extract keywords from the
would then extract keywords from the
would then extract keywords from the articles and know to share them to the
articles and know to share them to the
articles and know to share them to the right people who would probably agree
right people who would probably agree
right people who would probably agree with the most this set off a chain
with the most this set off a chain
with the most this set off a chain reaction where these people in turn
reaction where these people in turn
reaction where these people in turn would share the articles and their
would share the articles and their
would share the articles and their friends without maybe reading would
friends without maybe reading would
friends without maybe reading would share and post and set so I’m putting
share and post and set so I’m putting
share and post and set so I’m putting the blame on us broadly speaking the
the blame on us broadly speaking the
the blame on us broadly speaking the humans involved we all sometimes click
humans involved we all sometimes click
humans involved we all sometimes click and share without really reading through
and share without really reading through
and share without really reading through or fact-checking
or fact-checking
or fact-checking but most importantly I credit the
but most importantly I credit the
but most importantly I credit the content targeting algorithms not once
content targeting algorithms not once
content targeting algorithms not once did any of these algorithms stop to
did any of these algorithms stop to
did any of these algorithms stop to think whether these articles made any
think whether these articles made any
think whether these articles made any sense for had any hint of fact to them
sense for had any hint of fact to them
sense for had any hint of fact to them they never paused to evaluate whether it
they never paused to evaluate whether it
they never paused to evaluate whether it was even ethical to be spreading
was even ethical to be spreading
was even ethical to be spreading information that was so unequivocally
information that was so unequivocally
information that was so unequivocally false well nobody was watching fake news
false well nobody was watching fake news
false well nobody was watching fake news spread like wildfire and when I say
spread like wildfire and when I say
spread like wildfire and when I say nobody was watching is because anybody
nobody was watching is because anybody
nobody was watching is because anybody who disagreed with or could have
who disagreed with or could have
who disagreed with or could have otherwise critically evaluated the
otherwise critically evaluated the
otherwise critically evaluated the content of these articles they weren’t
content of these articles they weren’t
content of these articles they weren’t even being shown the articles fake news
even being shown the articles fake news
even being shown the articles fake news is insidious just like spam and Mark
is insidious just like spam and Mark
is insidious just like spam and Mark Zuckerberg has committed Facebook to
Zuckerberg has committed Facebook to
Zuckerberg has committed Facebook to fact-checking his way out of this mess
fact-checking his way out of this mess
fact-checking his way out of this mess he’s hoping that fake news will go the
he’s hoping that fake news will go the
he’s hoping that fake news will go the way of spam we currently have excellent
way of spam we currently have excellent
way of spam we currently have excellent programs sorting away junk mail so none
programs sorting away junk mail so none
programs sorting away junk mail so none of it meets our eyes but this isn’t
of it meets our eyes but this isn’t
of it meets our eyes but this isn’t really getting at the issue at hand what
really getting at the issue at hand what
really getting at the issue at hand what we need is a jump out button for all of
we need is a jump out button for all of
we need is a jump out button for all of our content providers get that shoe
our content providers get that shoe
our content providers get that shoe salesman out of my face I’m feeling
salesman out of my face I’m feeling
salesman out of my face I’m feeling adventurous today we need this button
adventurous today we need this button
adventurous today we need this button because it would produce less bias less
because it would produce less bias less
because it would produce less bias less infinite echo chambers less self
infinite echo chambers less self
infinite echo chambers less self confirmation and most importantly less
confirmation and most importantly less
confirmation and most importantly less fake news free is how the internet was
fake news free is how the internet was
fake news free is how the internet was meant to be and we need to be able to
meant to be and we need to be able to
meant to be and we need to be able to lift the veil of bias and misdirection
lift the veil of bias and misdirection
lift the veil of bias and misdirection that we were being fed online so with
that we were being fed online so with
that we were being fed online so with that in mind and looking to the future
that in mind and looking to the future
that in mind and looking to the future let’s spark a change with how we
let’s spark a change with how we
let’s spark a change with how we interact with information on the
interact with information on the
interact with information on the Internet today thank you
Internet today thank you
Internet today thank you you
”
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