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Click Trap, The (2024)

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Click Trap, The (2024)

Post by bunniefuu »

We live in the digital universe,

surrounded by digital advertising.

Google, Meta, the parent company

of Facebook and Instagram,

these are basically

advertising companies.

The vast majority of their revenue

comes from advertising.

Online advertising

is now worth 400 billion dollars,

far exceeding

traditional advertising.

Thanks to the harvesting

of more and more data on web users,

this system has generated

huge amounts of revenue,

but it also has a dark side.

We know exactly

where this person is.

We know their real name.

We know their credit card number.

We know where they have travelled.

Imagine that, Mr Advertiser, of what

you can do to reach these people.

But traditional advertisers

aren't the only ones to benefit

from the platforms' targeting power.

Scammers spend billions

on advertising every year.

It's not one person out there

putting these ads online,

it's an ecosystem.

Sometimes those ads are obvious.

Sometimes they are sneaky

and deceptive and they trick us.

Sometimes they steal money from us

to the point of leading us

into financial ruin.

I couldn't breathe,

I couldn't eat, I couldn't sleep.

I've lost everything.

It destroys your life.

Dramatic on an individual scale,

the dangers of online ads reach

catastrophic proportions

when they affect thousands

or even millions of people.

The truth is social media companies

discovered prioritising hate,

misinformation, conflict

and anger is highly profitable.

Recent years have seen

the emergence of a new type of scam

that acts at a collective level:

disinformation.

I think the disinformation crisis

is one of the greatest threats to

humanity right now.

Democracies all over the world

are under threat

because of disinformation.

Misinformation is sticky,

it's addictive, it's chewy content

and for the companies

that monetise that content,

they see it as an opportunity.

Spread lies, spread hate

and you can make money.

Has online advertising become

an out-of-control machine

that is gradually bending

humanity to its will?

Senator, we run ads.

Every day,

without much thought, we accept

general terms and conditions

and cookies.

In doing so, we give websites,

apps and social media

access to our personal data.

They use it to offer us targeted ads

on topics that interest us.

This act seems banal and harmless,

but this customised advertising

is really the result

of a real revolution

caused by digital technology.

A revolution

with unexpected consequences.

Before digital ads,

if you wanted

to buy ads in a magazine,

if you wanted

to buy ads on a TV station,

you would at some point

be talking directly to the place

you wanted to buy ads from.

There would be

a salesperson at your newspaper

that would sell an advertisement.

They would say, "How big

do you want it to be?

When do you want it to appear?"

They'd work with you on that.

But we've really gone

far away from that.

In the 1990s,

the internet became more and more

present in our lives,

offering us

a space of freedom and sharing.

Quickly, it became a requirement

that everything online

be available for free.

And this extended over time.

As we got into the late 1990s

and early 2000s,

massive amounts of piracy for video

and music made people think

"I should be able to get my music,

videos and other things for free"

and it also created a necessity

for the creators of information

to figure out a business model

that could work in this environment.

And so naturally, advertising

is the one that would make sense.

When Google started,

they didn't know that

advertising would be

the primary business model.

There was

no business model for Google.

It just lost

lots and lots of money

for a very long period of time.

One thing they were trying

to figure out with advertising

is that you can't make it work

with a sales team,

a human group of people

that takes calls

and then puts up the ad

on the website

because Google, they get

about 99,000 searches a second.

Billions of searches

every single year.

And so the only way

to make it scalable

is to get rid of the human team

and really have a system which is

data driven, algorithm driven

and really moves at lightning speed.

We think about Silicon Valley,

you say, "Oh, computer programmers

working out of garages",

but lots of the people

who got involved early on,

they were former Wall Street people,

former ad sales people.

They worked

with a lot of economists

and people who had

previous experience on Wall Street

who really constructed

these types of markets.

The only difference is rather than

selling stocks or bananas, we sell

attention.

Shares of Google,

the company that makes the world's

most popular internet search engine,

went on sale to great fanfare today.

Google has doubled its profits

selling internet advertising.

Despite not expecting advertising

to be the business model of Google,

when they figured it out,

it was just this gold mine.

They made so much money

they instantly went

from a no name start up

to being one

of the richest companies.

They raised

1.7 billion dollars in cash

and made the stock of Google

as valuable as General Motors.

The template that Google created

influenced many other companies.

When Facebook got started,

they had nothing to innovate.

"We'll take

the Google business model,

figure out how it works here."

This new ad technology created

a whole new territory

for modern capitalism to conquer,

the attention economy.

Now, you don't buy

space in an outlet;

you literally just buy eyeballs.

Advertising became so successful

that it became very difficult

to create other business models

that were viable in this internet.

One result of that is that we assume

everything on the internet is free

because advertising has driven

the cost down to zero dollars.

You're not paying a dime

to use Facebook.

You're not paying a dime

to use Google's search engine.

There's an old saying,

"If you aren't the customer,

then you're the product."

We believe that we need to offer

a service that everyone can afford.

We're committed to doing that.

Well, if so, how do you sustain

a business model

in which users don't pay

for your service?

Senator, we run ads.

Behind the ads we see online

lies a complex story.

Whether they appear on a site

or in our social media feeds,

most of these commercial ads

are the result of a secret w*r

that the brands engage in

to capture web users' attention.

Every time you visit a website,

details that have been collected

about you

are sent by that website

into the open bidding market

so that advertisers who might want

to reach somebody like you

have a chance

to see that information,

see the website you're on and

place a bid to show an ad to you.

They are putting in the parameters

of "I wanna reach

men between 25 and 35

who might be interested

in buying a car

and who live in New York."

And then the system is supposed

to find those people

as they are looking on apps,

as they are visiting websites,

watching videos

and show the ads to them.

And what happens is there's

a process called real-time bidding

where algorithms representing

different media buyers will say,

"I'm willing to pay

a dollar for this person",

"Two dollars

for this person".

And it's literally a marketplace

where people competitively bid

for the value of your attention.

So if I am a very valuable consumer

that lots of people want to bid to,

it'll be more money to do so.

So one classic thing

is that it turns out

that buying ad space

for people who have iPhones

tends to be more expensive

than people who have Android

because people who have iPhones

tend to have more money.

So this is a more valuable form of

attention you're trying to capture.

This is a process that happens

in the blink of an eye.

The bids are taken,

the winner gets to place the ad

and show it in front of you.

The systems that Google runs,

the systems that Facebook run,

they operate at a scale that is

really unheard of in human history.

There are billions and billions

and billions of ads

and ad requests at any given time

throughout the day,

overnight, around the world.

But the problem

is that the system is so opaque,

it is so complex,

it is so confusing even to people

who work in digital advertising

that nobody actually knows

what's going on.

And that is to me

an absolutely insane scenario

where you have roughly

about half a trillion dollars

transacting every year

in digital advertising

and people don't understand

where all the ads are going

and where all the money is going.

This complex automated system

is the central axis around which

the internet has evolved

into what we know today.

It may be a dream for advertisers,

but giving control

to algorithms is not without risk.

In 2016, I was just

a one-woman marketing team.

I was working

mostly in Europe at the time

and my boss suggested to me,

"Why don't we run

our first Google

ads campaign?"

I said, "OK."

I went into the Google Ads dashboard

and attempted to run

my first campaign

to see...

I was hoping

my ads would end up on like CNN

or New York Times

or Washington Post or something,

but then when I went to see

my ad placements,

I was surprised and shocked

to see none of that.

I saw a whole bunch of websites

that I'd never heard of.

There were all kinds of domains

that had weird numbers in them

that I knew that nobody I know

is visiting those websites.

I just filed that away as strange,

but also with the understanding that

we don't really know

where our ads are going.

A few months later, I visited

Breitbart.com for the first time.

Breitbart in 2016

was the biggest source

of disinformation in the country.

They'd been more influential

than Fox News

and the Washington Post combined.

They had more Facebook followers,

more engagement.

They played a huge role

in getting Trump elected in 2016.

The first thing that I saw

when I visited the website was ads.

I was just assaulted with

all these brands and advertisers.

Ads that were following me around.

So they're brands

that I shop with, am familiar with

and to see those ads

against that kind of content

was something

that was impossible to ignore.

These brands probably

don't wanna be here

and are probably running their ads

like I did a couple of months ago.

They're probably just

not checking their ad placements.

Due to their reliance on algorithms,

advertisers are totally disconnected

from the sites

on which their ads appear.

Due to this disconnection,

sites such as Breitbart

can receive ad revenue

without the brands realising.

Online advertising is a machine

for communicating blind.

I do remember

being in the room by myself

and I literally looked

right and left.

I was like, "Am I really

the only person seeing this?"

I wrote a blog post that day.

"Everybody, go and block

Breitbart now in your Google Ads.

If all of us do it at the same time,

we can put this outlet

out of business."

I co-founded Sleeping Giants

as a way to alert advertisers

that their ads were on this website

and we started

tweeting at companies

with screenshots

of their own ads on Breitbart

and asking them whether

they wanted their ads to be there.

And the brands were coming back

almost instantaneously.

Some of these guys were

coming back within minutes to say,

"We didn't know.

Thank you so much for alerting us

and we will take steps

to block it from our media buy."

And it grew super fast.

As we ran this campaign, over time,

we were able to collectively contact

thousands of brands.

Breitbart lost 90%

of its ad revenues

within the first three months

of our campaign.

They were on track to making

eight million dollars in ad revenue.

And...

we cut that off.

Within months, there were

other accounts popping up.

Just citizens of these countries

who saw what we were doing

and realised that they could

probably apply the same tactics

to their own local Breitbarts.

We realised that this was

something that we could take global.

This is Google's

location.

They are our main target for this.

OK, I feel like right here

is great, guys.

This is a good location.

Let's do it.

We are in New York City.

It's where Ad Week is taking place.

Google is also here at Ad Week.

They're one of the sponsors

of the event

and we're trying to get Google

to stop monetising disinformation

and to make

their publishers' data transparent.

Are you an advertiser?

Find out

where your ad money is going.

It's not going

where you think it's going.

So the plinko board is actually

a fun way for us

to engage advertisers on this issue.

So we want them to know

that they are unknowingly funding

disinformation and hate speech.

They put a coin into the board

and that represents their ad budget.

They wait to see

where their coin ends up.

Is it going to end up

on a good website

or is it going to end up on one

of these disinformation websites

that's spreading climate disinfo

and election disinfo

and all this other harmful stuff?

Hopefully, we'll be able to raise

awareness with the advertisers

and they will pressure

Google to take action.

But I think we can wrap it up now.

The automation

of online advertising has

real repercussions.

The way it works is at the heart

of what we now call

the "economy of disinformation".

One of the realities of false

and misleading information today

is that it has the potential

to be profitable

more than ever before in history

because it's easy to get

in the business of disinformation.

When we talk about

the "disinformation

economy",

most people think

of Facebook because

Facebook amplifies

and monetises disinformation,

but disinformation does not

make money on Facebook.

They make money when you click

on the article on Facebook

and go to their website.

That's where they run ads

and that's where

they basically cash in.

That is where the real money lies.

They are able to set up websites,

write their conspiracy theories

and their disinformation articles

and then receive Google ads

on their websites

and those Google ads are putting

dollars in their pockets.

Let's split Google into three parts.

Google has the search,

which has advertising

which is native to Google search,

so you can buy the search results.

Second bit is YouTube, which is big.

That's advertising that appears

and you can pay

to target people's eyeballs

and it will come before a video.

The third is,

what most people don't know about,

is Google's ads platform

that goes on other people's websites

and will serve

that advertising to you.

And then it will give

a bit of money to that content site.

90% of all websites carrying

advertising carry Google Ads.

Google and ad companies make it

very difficult for brands

to know exactly

where their ads appear.

So advertisers don't realise

that their ad dollars are going

onto these websites

that are spreading disinformation.

And so you have major corporations,

big brands,

buying ads on sites

with content about terrorism,

with hate content,

with disinformation.

And it's basically created

a whole business model

for people who would never have made

money from advertising before

to suddenly be able to earn

lots of money from advertising.

There are

so many countries now around

the world

where the arrival of Google Ads

has then been followed

by a huge proliferation of websites

whose core business model

is around hateful clickbait,

pushing out hundreds

of toxic inflammatory stories

targeting minority groups

which they then monetise

through online advertising.

I think the disinformation crisis

is one of the greatest threats

to humanity right now.

Democracies are under threat

because of disinformation.

COVID VACCINES MODIFY DNA

One of the really crazy things

we found in our investigation,

it's an article claiming that

COVID-19 vaccines change your DNA.

This is from a Serbian website.

We have an ad for Amazon Prime Video

and Discovery Plus,

as well as an ad

for Spotify Premium on it.

Creating disinformation can

absolutely be a job

and it can be a job paid to you

by the biggest brands in the world

thanks to Google.

It's a good business.

That's what's

so extraordinary about it

is that it encourages

low-quality content.

Why do you think it's so hard

for real journalism to prosper?

We have disinformation thriving.

It made more than

three billion dollars last year.

And meanwhile,

journalism is getting cut globally.

Newspaper ad revenue has been cut

by half in the last five years.

This is a crisis

where journalistic standards decline

in power and revenue,

and disinformation rises.

BREAKDOWN OF WORLDWIDE

ADVERTISING SPENDING

The traffic controllers

of ads and money and data

are deciding

who gets revenue and who doesn't.

Here's the thing about fake news,

it's displacing good news,

useful news,

well-researched news,

evidence-driven thinking

considered opinions

and that's a real problem

for a society

because it makes us

dumber as a society.

It's making our democracies weaker

and turning us into an idiocracy.

Clickbait is replacing thought.

3 SIMPLE TRICKS

FOR STAYING YOUNG

The new thing about clickbait

is that you have to click

on the title

to see what it's about

because that's

how the website gets paid.

When you write an article

for a normal newspaper,

the title must tell you

what it's about and ideally

tells you exactly

what you need to know.

Then you read the rest

of the article to find out about it.

Clickbait does precisely

the opposite.

It makes sure not to tell you

what you need to know,

so that you click on it

and generally end up disappointed.

THE NUMBER 1 CARB

YOU SHOULDN'T EAMAKE LOTS OF MONEY FAS3 SIMPLE TRICKS

FOR STAYING YOUNG

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For these companies

to make a lot of money,

web users must spend lots of time

on their sites and social media.

The more time they spend there,

the more ads they see.

And the more ads they see,

the more money the company makes.

The aim is clear:

capture our attention

by any means possible.

Social media and the internet

in general are competing

with the world around us

for our attention.

They are winning

this competition.

Something that I've noticed

and we can all see

is that when you're

on public transport,

everyone is on their phone.

The only reason we don't notice

is we too are looking

at our phone

rather than the people around us.

Facebook's competition

isn't Twitter.

Facebook's competition

is spending time with your kids,

spending time with your wife,

reading a book.

They need to keep your eyeballs

engaged so they can pump ads to you.

One of the things

that keeps our eyeballs on a site

engaging with the content

is disinformation and hate.

Hyper-emotional states.

I'm Imran Ahmed.

I'm CEO and founder of the Centre

for Countering Digital Hate.

We're an organisation

that looks at the architecture

by which hate

and misinformation spread online,

how they affect the real world,

and we try and find

ways to disrupt that.

The algorithms pick it out.

They see the stuff

that gets the most reactions,

the most people staying

and watching for longer.

They think,

"That's where the money is."

You know, I think initially

it was an accident.

It was amoral.

There was no morality.

They weren't choosing

disinformation or hate.

But now,

if you look at the revelations

from whistleblowers,

if you look at the work

that my centre's done in showing

that there are super-spreaders

of disinformation,

their failure to act,

their failure to change

the algorithms, the business model.

That's where it stops being amoral

and it becomes immoral.

Tributes to the Labour MP Jo Cox

who's died after being stabbed

and shot in West Yorkshire.

She was 41,

married with two young children

and was elected to parliament

just over a year ago.

My friend and my colleague Jo Cox,

who was a Member of Parliament.

She was shot, stabbed

and beaten to death

by a white supremacist t*rror1st

radicalised online

in the middle of the EU referendum.

It just broke my heart

to see someone who had been fed

lies and disinformation

and decided that it was rational

to k*ll a young woman,

so yeah, I mean,

it's really personal to me.

When the guy k*lled her, he shouted,

"Britain First, death to traitors."

Britain First was the first

political movement in the UK

to achieve a million likes

on Facebook.

When it happened, I remember

my reaction was to say, "Who cares?

They've got a million likes.

They have clicks.

We've got members."

And I was wrong.

I was just wrong.

The main place

where information was being shared,

people were deciding

on norms of behaviour and attitude,

negotiating what is true

and what is not fact

were shifting

to these online spaces

and we didn't understand them.

We've made a deal with the devil.

The devil said to us,

"I can let you see

what your friends are up to.

I can let you be connected

with your family so you can

share with them, so you don't

actually have to call them

and it just makes things

more convenient for you."

For convenience, we've handed over

our data, our attention.

In 2016, when I said online harms

were causing offline harms,

I remember being treated

like I was crazy.

People would laugh at me.

I used to get asked the question,

"Yeah, but this is online.

How does this affect

the real world?"

But after 6 January,

I don't think anyone's asking

that question any more.

They got ten people

trying to stop us.

06/01/2021

ATTACK ON THE CAPITOL

WASHINGTON DC, USA

It's time that somebody did

something about it.

And Mike Pence,

I hope you're gonna stand up

for the good of our constitution

and for the good of our country

and if you're not, I'm gonna be

very disappointed in you,

I will tell you right now.

Facebook's algorithms

were amplifying harmful content

that led to 6 January.

They were showing

groups to people

that were interested

in the "stop the steal" narrative

and those groups were able

to catch on fire

and grow in hours

to hundreds of thousands

because of their algorithms

and their recommendation systems.

Hey!

Fcking hey, man.

Why is this happening?

Why are we here?

The truth is, social media companies

discovered prioritising hate,

misinformation, conflict

and anger is highly profitable.

It keeps users addicted

so they can serve them ads.

CCDH's research has documented

bad actors causing harm,

but also bad platforms encouraging,

amplifying and profiting

from that harm.

Leading up to the insurrection

and after the insurrection,

I've been using a dummy profile,

a sock puppet profile

that solely joined militia groups

and engaged with extremist groups

on the platform

and Facebook,

following the insurrection,

not only pushed in the feed

an array of false election claims,

but pushed those

alongside ads for essentially

military gear-style materials.

Body armour, bulletproof vests,

specific holsters,

sites to make

your weapon fire more carefully.

This is exactly the kind of material

we saw Facebook pushing to users

in the wake of 6 January.

We also looked at the ad interests

the company was using

to target this individual.

If you get on your Facebook profile

and click

through a whole layer of things,

you can eventually get

to why you're being shown that ad

and it'll come up with the interests

you're being targeted with.

And one of the ones this profile

was tagged with was "militia".

Months earlier, in August 2020,

Facebook made a big public show

of the fact that they had

banned militia

and domestic extremist movements,

but not only

were those movements operating,

there was

an entire ad interest category

that could be used to target

militia for the company to profit.

So, as far as we can tell

from the outside,

Facebook's algorithm

is single-minded

and nearly sociopathic.

It is designed to do one thing:

to maximise engagement,

to maximise activity,

and it's going to find the content

and promote the content

that does the best job of that.

And in many cases,

egregious types

of content get amplified

many, many times more

than they would in the real world.

And just as important,

in the real world,

these egregious types of speech

would be met with counterspeech.

Algorithmic amplification separates

the counterspeech

from the damaging speech

in a systematic way

that doesn't happen

in the real world.

I'm Guillaume Chaslot. I studied

at engineering school in Lille,

then did a thesis

on artificial intelligence.

I was hired by Google

and worked on the recommendations

of YouTube.

And we tried to make

certain recommendations,

strategy A versus strategy B

and looked at whether strategy A

was more effective,

meaning did it keep the user

on the platform for longer,

than strategy B.

Everything we do online

is examined carefully

by artificial intelligence.

Every click,

every scroll, every pause,

every minute of video that we watch

feeds the algorithms

that customise the recommendations

displayed on our screens.

I was on a bus

with someone who was watching

one conspiracy theory after another.

He said, "But there are

so many videos like that.

There are so many videos saying it

that it must be true."

That's when I realised

that it's not the arguments

in the videos that are convincing,

it's the repetition of these videos.

The repetition

of these videos

was exactly what we were doing

at Google when we were trying

to make him watch

as many videos as possible.

So, in fact, he was convinced

by the way

the algorithm itself works.

So, when I saw that,

I said to myself,

"I have to see if it's just him

seeing conspiracy theories

or if it's the YouTube algorithm

that's recommending

conspiracy theories to everyone."

In 2016, I started creating

AlgoTransparency.

I made a robot that goes on YouTube

and follows the recommendations.

I discovered

that the YouTube algorithm

for recommendations does have

a huge tendency to recommend

these conspiracy theories

as they generate watch time.

Like this person who watched them

for six hours straight.

It's a gold mine,

so the algorithm will promote

this type of video.

In my work at Google,

I tried to suggest

content recommendation systems

that allowed the user

to discover new content

and different points of view.

I realised

that whenever I suggested this,

and not only me,

but other Google engineers too,

Google wasn't interested.

My manager said,

"Be careful, I wouldn't continue

working on that if I were you."

For six months, I followed

his advice and then stopped.

When I started working on it

again, I got fired.

Conspiracy theories are driven

by something in our psychology

called epistemic anxiety.

It is that sense

of not just not knowing the answers,

it's not knowing

how to find the answers.

But then conspiracy theories

never satiate epistemic anxiety.

So that's another finding.

That they never fulfil that

desperate yearning for certainty.

And for the companies

that monetise that content,

they see it as an opportunity.

One of our research reports,

"Malgorithm",

it proved that Instagram

if you liked

Covid conspiracy theories,

it would give you QAnon,

it would feed you anti-Semitism

in the recommendation algorithm

because it knew

the way that our brains work.

Based on trillions of clicks,

billions of people worth of data,

they knew

that core psychological insight.

They're constantly feeding

and all the time they're feeding

and feeding and you're clicking

and you're going and looking

and scrolling, every three posts,

there's an ad, money.

Every three posts,

there's another ad.

You become worth 100 billion dollars

by hacking our brains,

the worst tendencies in our brains.

Imagine that you're driving

down the highway,

you see that traffic is slowing

near to a stop and as you go past

you see that there was

a really bad accident.

It's off the road,

but everybody is slowing down

to see what happened.

It's a car crash.

You don't want to look,

but you can't look away.

Imagine if there were a bunch of ads

popping up around that car accident.

That's what we see

with these high-engagement, harmful

and often misinformation posts

on the platform.

You're gonna have

people commenting, engaging,

reacting with an angry face

or a thumbs up

and all of that engagement

just makes that post more valuable,

it lifts it up in people's feeds

and with that, advertising

that will be centred around it.

As you pause and slow

and look at that on your feed,

not only are you gonna get ads

around that harmful activity,

but that activity is gonna

get pushed in other feeds

because the platform knows

you're slowing down to look at it.

It's really concerning to think

about how many people are influenced

by the combination of ad activity

and harmful information that's

being pushed to them in their feeds.

The bad is more powerful

than the good.

We react more strongly

to negative stimuli

than positive stimuli.

We react more strongly

for good reasons,

as programmed by evolution.

So how do websites

and social media hold our attention?

They use negative stimuli,

they use fear,

they use anger,

they use scandal,

they use disgust.

It's the economic logic of a site

that wants us to spend time on it,

to get us to enter

this spiral of negative content.

More than

in any other line of business,

companies that provide online ads

must continually expand

their portfolio of clients

and when recruitment reaches

saturation point in one market,

they must explore new horizons.

But for someone to be able

to use social media,

there is one fundamental condition.

They must have internet access.

There are millions of people

across the world without access

or affordability for internet.

And Mark Zuckerberg came up

with the idea

that you have to get people

who don't have internet online.

Facebook launched a program

that it called Internet.org

in countries like the Philippines,

Indonesia, Brazil.

Facebook was trying to get the rest

of the developing world online.

It partnered with mobile providers

in different countries

to offer Facebook for free.

Zero-rated data.

So anybody could use

these platforms and the internet

without incurring

very expensive data costs.

This was revolutionary.

And as part of that plan,

you could access Facebook for free

and a select number,

usually half a dozen apps,

maybe a weather app,

maybe a job app.

And of course other Facebook apps,

Instagram, WhatsApp.

When you hear the phrase

"Facebook is the internet",

in most of the world,

this is what they mean.

There was no outside internet

beyond Facebook.

That was the universe

people could search.

You couldn't go to Google to find

if something was true or not.

So, when you pair that power

and that narrow internet with

digitally illiterate populations

and a wealth

of misinformation and harm

that is not being moderated

in foreign languages,

you have complete disaster.

Hello and welcome

to Access Asia.

Coming up, Amnesty International

accuses Facebook

of exacerbating

human rights violations in Myanmar.

It claims the social network

amplified anti-Rohingya content.

In Myanmar, Facebook at the time

had no Burmese-speaking moderators.

It launched this Internet.org

free basics programme.

Lots of people got online

and tonnes of misinformation

and hate speech just proliferated,

calling for lynchings,

essentially sparking a genocide.

The UN found Facebook partially

responsible for that activity

and around 2015, 2016,

Facebook quietly ended

that programme in Myanmar.

But what this did was allow

Facebook to create and collect

billions more data points

on the rest of the world

and push ads anywhere,

particularly elections ads

in countries like India

where people who had never before

really been mapped or been online,

now the government had data points

of people they could push ads to.

And we saw the same

in Kenya, in Ethiopia,

across the Middle East

in countries like Iraq.

You see this

boiling over into even more serious

real-world harms.

These free basics programmes

were essentially free internet,

but Facebook's version

of the internet,

which is an unmoderated,

disinformation-filled onlinescape.

Senator, what's happening

in Myanmar is a terrible tragedy

and we need to do more.

- We all agree with that.

- OK.

But...

UN investigators have blamed you,

blamed Facebook

for playing a role in the genocide.

We all agree it's terrible.

How can you dedicate and will you

dedicate resources to make sure

such hate speech is taken down

within 24 hours?

Yes, we're working on this.

And there are three specific things

that we're doing.

One is we're hiring dozens more

Burmese-language content reviewers

because hate speech

is very language specific.

It's hard to do it without people

who speak the local language

and we need to ramp up

our effort there dramatically.

Second is we're working

with civil society in Myanmar

to identify specific hate figures,

so we can take down their accounts

rather than pieces of content.

And third is we're standing up

a product team

to do specific product changes

in Myanmar

and other countries that may have

similar issues in the future

to prevent this from happening.

The social media giants claim

that they are investing heavily

in identifying

and preventing

the dissemination of hate speech.

A combination of human moderators

and artificial intelligence tools

are being used to monitor

the content of posts,

whether or not they are ads.

But do these filters really work?

For the last three years,

we've been investigating

the way that social media companies

are perpetuating human rights abuses

and undermining democracy

around the world.

You can't talk

about human rights

or any of the major issues

that are affecting our world

without looking at the way we're

consuming and sharing information

because it has such a major impact.

So we started looking

at the Kenya election a few months

before the election

actually happened

and we were interested

in the election

because it was

quite a tightly fought race

and also because Kenya has

a really sad history of violence

before and after elections.

We decided to investigate

how well these platforms

were able to detect hate speech.

We investigated Facebook

in this case

and we tested ads that were inciting

violence ahead of the election

in both Swahili and in English.

According to Meta, every ad

published on Facebook

is examined at multiple levels

before publication.

This meticulous analysis is intended

to ensure that advertisers respect

Meta's rules and standards.

Among other things,

the platform prohibits blasphemy,

excessive nudity

and misinformation in ads.

Publishing ads on platforms

is really easy.

They want as many people

to be publishing ads as possible.

We find examples

of hate speech and disinformation

and then we turn them

into very simple ads.

We choose

this horrible content and think

surely this time

the platforms are not

gonna approve it.

It's so obvious or it's so extreme

or it's a crucial moment

the platforms say they care about.

We then upload it onto the platforms

and then we have to wait and see

if the platforms approve it.

And then we get these notifications

saying they've been approved

and your heart just sinks that

even in these dangerous contexts,

they're still happily approving

content that's

inciting violence that could

be putting real lives at risk.

And we expected the English ads

to be picked up immediately

and the Swahili ads

to just go straight through,

but that wasn't what happened.

All of the ads went through,

but first of all, a number

of the English ads were picked up

due to spelling mistakes.

And so the AI

was able to detect that

and once we corrected

those spelling mistakes,

they were all approved

and put through.

And then we reached out

to Facebook

to find out what they had

to say about this

and they said it was a mistake,

they shouldn't have been approved.

So we gave them another chance

and we tested some more ads

thinking that at this point,

they've been alerted

to the fact that this is a big risk,

it was two weeks

before the election,

they should be heavily resourcing

content moderation in this country.

And once again, all of the ads

were immediately approved.

We put a publication date

in the future.

So what we do is we pull the ads

just before they get published

because obviously,

as a human rights NGO,

we don't want to be putting out

more hate speech or disinformation.

As we know

with all of this type of content,

hatred and the organising

of this violence starts online

and then it very, very quickly

spreads into the real world.

We saw that after the US elections,

we've also seen that in Brazil,

we've seen in Myanmar, in Ethiopia,

people are literally being k*lled

because of hatred

that starts by spreading online.

Through tests

in different languages and places,

the investigations

by Global Witness showed

that content moderation tools

often struggle to identify

obvious examples of hate speech.

If you talk to any

of these companies, Facebook,

Instagram, Twitter, YouTube,

they will tell you

in a canned statement

that they have brand safety policies

and that "x" content is not allowed

on their platform.

They use the same statements

over and over again,

but just because it's not allowed,

doesn't mean it doesn't exist,

because they're not enforcing

their policies.

And when they're not enforcing

their policies,

those brands are threatened

because their ads are showing up

against harmful content.

There's a playbook

for big tech companies

and they learned it from Exxon,

from Philip Morris,

from every other bad actor

in the corporate sphere.

Deny.

So that's the first thing.

So, first of all, say, "No,

are you sure?

No, I don't think it's our ads.

It's probably someone else's.

That must have crept through."

Second, deflect and say,

"Look, it's

a really complicated system.

The ad stack's complicated.

We don't really know

how it works ourselves."

The third thing is delay.

Right now, most of them can

no longer deny there's a problem

because even

counterterrorism professionals,

senators, congresspeople,

members of parliament

are contacting us and saying,

"We know this is a problem.

What do we do about it?"

So now it's delay.

And they're delaying

and how do you delay?

PR, spin, lies,

a little bit of evasion,

take your time getting back

to someone in an e-mail.

It takes us weeks to get

an answer on something.

Why is there a problem?

It's because this is profitable.

If it wasn't profitable any more,

they wouldn't do it.

Spread lies, spread hate

and you can make money.

As you know, next week

we'll publish a new report

about how Twitter is profiting

from hate and disinformation.

We've been calculating

how much money Twitter makes

from accounts that spread hate

against the LGBTQ+ community.

So we've got examples

of companies' ads appearing next to

this really dangerous anti-trans,

anti-LGBTQ+ content.

Which companies?

We identified ads

from five big brands.

I've got Fortune magazine,

Kindle, Disney, NBA and T-Mobile.

All of them appear

next to anti-LGBTQ+ content.

We know a small number

of accounts are responsible for it.

They make about 6.4 million

for Twitter in ad revenue.

Our hope is that by exposing that

to a wider audience,

it will create political, economic

and social reputational costs.

With Elon Musk though,

he is desperate for revenue

and so he's willing to accept

this kind of hateful rhetoric

if he can make a buck out of it.

While many organisations

and advertisers are begging

for more investment

in content moderation,

social media companies underline

the need to strike a balance

that preserves free speech.

Companies like X, formerly Twitter,

say that their users have the right

to express themselves freely

as long as they stay

within the law.

A good sign as to whether

there is free speech is,

is someone you don't like allowed

to say something you don't like?

And if that is the case,

then we have free speech.

It's annoying when someone you don't

like says something you don't like.

That's a healthy functioning

free speech situation.

Elon Musk picking a new legal fight

with a nonprofit that criticises X

formerly known as Twitter.

What's your response

to his attorney saying you're wrong?

He has been casting around

for a reason to blame us

because we all know

that when he took over,

he put up the bat signal

to racists, to misogynists,

to h*m*, to anti-Semites

saying Twitter

is now a free-speech platform.

He welcomed them back on.

He reinstated accounts suspended

for spreading that kind of stuff.

And now he's surprised

when people are able to quantify

that there has been

a resulting increase in hate

and disinformation on his platform.

The reason Elon's annoyed

is because the work

that we did to show that hate

had exploded

after he took over the platform

led 50% of advertisers

to leave the platform.

What we do is look

at hard data and prove

that these people are unleashing

a tidal wave

of hate and disinformation

that is scarring our world.

It's become the primary vector

for proselytising hate

and disinformation online.

The reason he's suing me

is because he wants me to be scared

to say anything about him.

So we are now in a dogfight

with a guy who keeps escalating.

So you have never looked

at a product online.

All you have done

is mention it in conversation

with your phone nearby

and magically,

in minutes or hours or days,

there is an ad for that exact brand

showing to you

and you are creeped the f*ck out.

The question is,

is your phone and is Facebook

and Google etc. listening in

to you to target ads to you?

As far as all

of the research on this shows,

as far as everything

that's been gathered, no,

they are not listening to you

to target ads to you.

And I know people refuse

to accept this and believe it

because there have been times

where you have never mentioned

this brand before in your life

or your friend mentions it

and all of a sudden

it's in your Instagram feed

and it seems creepy and it must be

that they're listening to you,

but there is no evidence

that's ever backed that up

that that is what's going on.

And this has absolutely

been looked into in detail.

The answer why this happens

is they have so many

other data points on you

that the likelihood that that brand

is mentioned in a conversation

is roughly the same likelihood

that it also might see you targeted

with an ad for that brand.

They're saying they know you

and your friend group so well,

you think they listen to you.

Companies that live

off online advertising

rely on the data of their users

to attract advertisers

and make money.

This has led to the creation

of a brand-new market

based on the commercialisation

of this data.

So thousands of companies compete

to collect,

organise and make sense

of the huge quantities of data

that our devices generate each day.

Data brokers are a global industry.

Pretty much if you

live in a country with

smartphones,

where there are mobile apps,

a data broker in some form

is collecting or very

soon is going to try

to collect data about you.

The challenge

of understanding data brokers

is that it's really opaque.

It's not a transparent industry.

And so part of what our project

at Duke University does

is we actually go out and buy data

from these data brokers.

You can buy pretty much anything

you want from a data broker.

You have lists of young people

who like fast cars or retirees

who really wanna go on a cruise.

There are data sets on truck drivers

and avid exercisers.

Do you wanna reach single mothers

between the ages of 30 and 35?

We have that list.

Do you wanna reach people

who just graduated from college

and who really like drinking coffee?

We have that list too.

Data brokers sell

demographic information,

so race, religion, gender,

sexual orientation, marital status,

your favourite food

or your phone location

and tracking where people go

and shop and sleep at night.

If you have one smartphone

that's next to another smartphone

on a nightstand

six nights out of the week

and the seventh, it's near

a different phone, it's an affair.

There's all kinds of things

that are intimate to people's lives

that you can find out

if you watch them eat and sleep

and drive and walk

and sit down 24 hours a day.

All of this is out there

and it's a lot cheaper

than most of us would expect.

In 2023, our team at Duke published

a study by Joanne Kim

about data brokers and the sale

of people's mental health data.

This student contacted

a few dozen of these companies

asking to buy information

about people with depression,

about people with anxiety,

about people who might be dealing

with many mental health conditions.

We wanted to say,

"What's out there?

If I'm an advertiser, I'm a scammer,

I'm a pharmaceutical company

and I want to buy data

about mental health conditions,

can I do that?

Where do I get it from?

How much does it cost?"

And what she found

was pretty disturbing.

There were

about a dozen companies

that offered to sell her

data about people

with mental health conditions,

data about people

suffering from depression.

The specific prescriptions

that they might take for depression.

Do they have bipolar disorder?

Do they have

obsessive compulsive disorder?

Is this someone that has

a particular kind of anxiety?

When our team has asked

data brokers to buy data,

they're always trying to upsell you.

So you say, "I want

mental health data."

They'll say, "Great,

and we also have data on race

and age and net worth and zip code

and how many children

are in the home."

And so this was also our experience

in the mental health study.

Alongside what type

of anxiety someone had

or the particular antidepressant

they were on, you could also get

information about their finances,

about their location,

about their demographics

and pair that all together

in a package.

All of that together gives

a really fine-grained look

at a person,

all without them knowing it.

Often, these brokers who've sold us

really sensitive data on people

haven't even asked who we are,

they don't ask

what we're doing with it.

They don't ask why we want it.

They don't ask our intentions.

They get an e-mail and a credit card

and that's enough

to e-mail an Excel spreadsheet

with people's information.

You can buy data

about people's health conditions

for 10 or 20 or 30 cents a person.

So if I wanna pick a town

and buy data on everything they have

on the people in that town,

I might spend just a few hundred

or a few thousand dollars.

The aim of exploiting

all this data on us

is to make digital advertising

more effective

by displaying ads

that are relevant to us.

But this surveillance system

can also lead to personal data

becoming publicly available,

even when we least expect it.

I had been doing a lot of reporting

on the ways in which governments

are using advertising data.

One thing led to another.

I started looking at privacy impacts

to real people

of having this kind of data

available for sale.

While conducting my investigations,

I began looking into a company

called Near Intelligence.

Are consumers flying

or driving on vacation?

Are they staying in hotels,

campgrounds or a friend's home?

Are they shopping online,

in store or both?

Are they eating in or out?

That's where Near comes in.

We are the data storytellers.

Near is an Indian-based

data intelligence company.

It's one of many companies out there

that make data available about

the movement of phones

for sale to their customers.

Near has data

on more than a billion devices.

They have hundreds of companies,

generally advertising clients,

who use Near's data

to understand the movement

of devices

or the interests of consumers

and help target them with ads

based on their location.

Geofencing

is a common advertising technique.

It's essentially simply

drawing invisible lines on a map

and seeing what devices appear

within those lines.

So if you're trying

to reach people who like pizza,

geofence a pizza parlour.

To reach high school students,

you could geofence a high school.

If you're trying

to reach religious people,

you could geofence

a mosque or a church.

It's essentially an invisible fence

that you draw around a spot on Earth

and see what devices appear

within that shape.

Near has data

that can help you do that.

And in doing that kind

of investigation into Near,

I had started to hear from people

close to the company

about this ad campaign

that had been run

using their data by

a conservative group in Wisconsin.

Veritas Society is

a conservative anti-ab*rtion group

that aims to convince women

who are thinking about an ab*rtion

not to do that.

And in this case, what they wanted

to do was run digital ads

and the best place to reach

those people was by trying to see

who was visiting ab*rtion clinics.

And that's where

this data provider, Near, came in.

Their data was used

to target this particular campaign.

They were drawing geofences

around Planned Parenthood clinics

and the parking lots

next to Planned Parenthood clinics.

And so for women

who showed up at these clinics,

as they pulled into the parking lot,

that's when they would cross

this invisible fence

that had been drawn by a data broker

around these clinics.

That's when the data broker would

log them as visiting this place

and create

what they call an "audience".

In an archived old version

of the Veritas Society website,

they explain in pretty great detail

exactly how they ran this campaign.

It says,

"Utilising our advanced

Veritas Society digital technology,

otherwise known as 'polygonning',

we identify and capture

the cell phone IDs of women

that are coming and going

from Planned Parenthood.

We then reach these women on apps,

social feeds and websites

like Facebook,

Instagram and Snapchat

with pro-life content."

So that's an awful lot of data

they're using to target people.

All of that is because of the ways

advertising technology is built

to collect this kind of data

and serve us ads.

Imagine you're a woman who visited

a Planned Parenthood clinic.

If you were targeted

in this ad campaign

in the hours and days

after leaving the clinic

as you were on Instagram,

as you were on Snapchat,

on Facebook,

you might start to see ads

telling you there was a chance

to reverse the ab*rtion procedure.

What those ads essentially said

was something like

"Took the first pill at the clinic?

It may not be too late

to save your pregnancy."

So in the 30 days

after these women's devices were

seen at an ab*rtion clinic,

these ads would follow them

around the web.

Near, the data broker, has policies

against geofencing sensitive sites.

So at some point, they discovered

that Veritas Society

had been drawing

geofences or polygons

around ab*rtion clinics

and told them that was not

an appropriate use of Near's data

and stopped the ad campaign.

Veritas Society's campaign lasted

two years,

disseminating over 14 million ads

without Near or the platforms

where the ads appeared noticing.

Meta, the parent company

of Instagram and Facebook,

said that the ads had been wrongly

classified as apolitical,

whereas content relating to ab*rtion

should have been classified

as a political ad.

This is a 21st century version

of being outside clinics with signs.

The technology in this case was used

to target people seeking ab*rtion,

but it could just as easily be used

for many other things.

The data is there

and groups all across

the political spectrum can use it

for whatever they like.

Thanks to the data shared

by our devices,

platforms have achieved

an unprecedented level

of precision

in their targeting.

This targeting power doesn't only

interest traditional advertisers.

With programmatic advertising,

you can target people.

Wherever they are on the internet,

if the right person for your ad

is there looking at that website

or opening that app,

you can reach them.

But there's always a downside,

another edge of the sword,

which is that if you are a scammer,

if you are a person

maliciously trying to target people,

then those same

powerful targeting abilities

to figure out the exact type

of person who will click on that ad

and pay for your product

or give their credit card number,

that is available

to scammers as well.

And so digital advertising

has revolutionised scamming.

It has enabled people

to scam at a massive scale.

They can run a lot of ads,

they can test them,

they can see which messages, often

false claims about celebrities

for example, resonate most

with people in a certain country

and be able to optimise to steal

as much money as possible.

Creating an opaque, complex system

with pinpoint targeting

is basically

a scammer's dream come true.

In the year of 2019,

I saw an ad on Facebook.

RETIRED RECEPTIONISIt looked like it came

from a newspaper in Sweden.

It was a picture

of two Swedish celebrities.

They promised,

"If you pay 250 euros,

the money will increase."

I had seen these ads

sometimes before.

But this time,

I clicked on that link.

In the online world,

digital ads don't always

keep their promises.

Things that seem too good to be true

can have catastrophic consequences.

I'm Eric van den Berg.

I'm a Dutch journalist.

I do investigative stories in tech.

I think, like most people,

I saw these ads online all the time.

The most common one

was "Bitcoin makes celebrity rich".

And I was curious, I thought

this was quite an interesting story.

So I investigated to find out

who was really behind these ads.

So I visited the online forums

where they hang out

and I pretended to be interested

in working for them

to make a little extra money.

And it wasn't very difficult

to get people talking.

They're always looking

for new people to put

these dodgy ads on social media,

to do their dirty work.

I contacted them and we exchanged

Skype contact information.

So I got a call and

at the other end of the line

is this guy called Vladislav,

very good English

and he was based in Kyiv.

And then he said, "OK,

I'm gonna send you a package."

And he sent me a zipped file.

It contains 48 fake news articles

from 11 markets.

And the idea was

I would put them on social media

and each time I bring someone in

who gives them their credit card,

I would get paid 600 dollars.

Digital scams are often created

in multiple languages

and adapted to specific markets.

Each country's inhabitants see

ads with celebrities they know

and the targeting abilities

of the platforms give swindlers

the means to focus

on the most vulnerable people.

One of the reasons this works

is because

digital advertising is so cheap.

If you target a million people,

there's always gonna be

a couple of people

that are gonna fall prey

to this scam.

That's why it's so successful.

So let's say you're somebody

that's not aware of these ads,

you're scrolling down

your Facebook feed

and all of a sudden you see

a famous person from your country

who apparently has done

some sort of crazy investment

and gotten even more rich.

"This is interesting,

I'm gonna click it."

Then you're asked

to put in your personal data.

So your name, your phone number,

your email address.

Once you do that,

somebody will call you

and try to interest you in Bitcoin.

I think it took three, four hours

before I had a telephone call

from a man.

He explained how

they worked together with the banks

where you could have loans

which they would pay back

in two months.

I was told by him

that I could expect a lot of money.

He started to call me

several times a day

telling me we had work to do

seeking these loans from the banks.

I was stressed, but I didn't worry.

I believed him.

Strongly.

I was convinced.

I was totally clean,

so I had many loans easily.

I could see

my account on the platform.

The money was increasing every day.

It went up and up and up.

It was a lot of money.

But all of a sudden,

my account went

from millions down to zero.

It was gone.

I had invested 360,000 euros

and I lost everything.

One of the big problems

is that it becomes very difficult

for a consumer

scrolling on the internet

to spot the difference

between a scam and a genuine advert.

It's really easy for scammers

to use digital advertising.

All they have to do

is pay

for an advert

to be placed on a platform

and because of the lack

of regulation on those platforms,

what eventually happens is that

any form of criminal can create

a fake advert

that's going to encourage consumers

to engage with them.

And then they can put it anywhere

on the internet for anyone to see.

Fake e-commerce sites,

investment scams,

thefts of bank details.

All over the world,

police forces

specialising in cybercrime

are inundated with reports

of victims of online scams.

The size of the problem has become

so alarming

that the FBI issued

a public information message

advising web users

to use an ad blocker.

If you get caught

putting these ads up on Facebook,

the penalty

is your account gets taken down

so you can just start over

and try again.

We're still seeing

scam adverts all the time.

And even when we report

these adverts to the platforms,

they may disappear briefly,

then something else will reappear

in its place very quickly.

This is a big industry.

These people spend billions

on advertising every year.

It's not one person out there

putting these ads online.

It's an ecosystem.

Sometimes these ads

don't just appear on social media,

but you can see them, for instance,

on the website of your newspaper.

They've been seen

on the website of Le Monde,

Der Spiegel,

even the New York Times.

Really mainstream

and trusted news reporting websites.

Now the news outlets don't have

really anything they can do about it

because they don't have control

over who's placing ads there.

But we're seeing huge numbers of ads

that appear

to be legitimate news stories

that when you click through to them,

they're actually there either to try

and harvest information about you

or to encourage you to invest

or share details or money.

These scammers are paying

Google and Facebook.

The financial interests of big tech

run counter to policing this thing

too strictly.

They do something

to take these ads down.

It's not like they're just

letting it happen.

But you can ask the question,

are they doing all they could?

We believe platforms can control

this flood of scam advertising.

They'll take ads down

if they're reported,

but that's not stopping ads

from being shown in the first place

and that's where

the damage is being done.

We hear from people

with enormous psychological impacts.

Some people have said they've been

suicidal as a result of these scams,

they can't sleep at night,

they have nightmares.

So many people have told us

that they feel silly

or stupid or embarrassed.

I couldn't breathe,

I couldn't eat, I couldn't sleep.

It was devastating.

I had a lawyer.

She said, "Inger, you must prepare

for losing your house."

I was thinking, "No, no,

over my dead body.

I'm not going to leave my house."

But no one had any understanding for

my situation.

So I had to give them my house.

It was awful.

When I took down

the pictures of my grandchildren

from the wall,

that, no...

It destroys your life.

Whether at an individual

or collective level,

the question

is how to prevent the dangers

created by the online ads.

In Europe, a new legal framework

is on the horizon.

It's known

as the Digital Services Act.

Its aim is to make

the digital world safer

by tackling ill*gal content,

disinformation

and harmful online activities.

It's a wrap.

We have the political agreement

on the Digital Services Act.

Now it is a real thing.

Democracy is back,

helping us to get our rights

and to feel safe when we are online.

The European Commission wants to put

order into the digital economy.

Big tech firms

are firmly in the spotlight.

Whether from our streets

or from our screens,

we should be able to do

our shopping in a safe manner.

Whether we turn pages

or we just scroll down,

we should be able to choose

and to trust the news that we read.

A lot of things

are ill*gal in our society.

You cannot stand

in front of city hall

and hand out child p*rn*graphy.

EXECUTIVE VICE PRESIDENOF THE EUROPEAN COMMISSION

But that is not

the same thing online.

Who is to police the "city square"

when you are online?

So the purpose of the Digital

Services Act is to make sure

that what is ill*gal offline is also

ill*gal online and treated as such.

Tech companies do what we have seen

industries do time and time again

with regulation, which is at first

they are completely opposed.

They don't want any regulation.

It's about self-regulation, right?

This really great-sounding scenario

where we don't impose

any costs on companies

and they're really responsible

and they handle our data well.

Then as soon as they realise

that regulation is coming,

they change their tune

and then they say,

"We love regulation."

We have had these calls

from big tech for regulation.

But then when we come up with it,

I have this feeling, "Well,

not that kind of legislation.

Something else that you would

only do in the future."

If you say, "I'm Facebook.

I love a privacy law",

that might get you in the room.

Regulators are pushing

for more controls

and companies are heavily lobbying

against those controls happening.

Consumers can write in

with their complaints,

families can voice

how they've been scammed,

but you have

to do that loudly enough

to go up against millions

of dollars in corporate money

to try and stop those kinds

of regulations from happening.

What are you gonna do?

You're gonna stop using Google?

Stop using Facebook?

That's the problem.

There's no competition.

They capture the market.

Facebook used to have competition.

Instagram. It bought it.

It used to have competition.

WhatsApp. It bought it.

What are you gonna do?

Use Yahoo again?

With the European regulation

being put in place,

Brussels is becoming

a crucial b*ttlefield.

Activists and internet giants know

that the results achieved here

could set the tone

for new rules all over the world.

We have a pretty packed schedule.

Tomorrow, we have

about four back-to-back meetings

and then we'll be moving on

to give a webinar.

They've asked us to speak at length

about the "Toxic Twitter" report

that we've just done.

They're really interested

in the way we calculated

how Twitter ads

are monetised compared

to mis- and disinformation actors.

This research that we did

proving that Twitter profits

from hate and disinformation

may not be replicable in future

because Twitter is moving fast

to make itself a more opaque,

less transparent platform.

And unless the EU forces disclosure,

we're gonna be muted.

We won't be able to do our jobs.

No one will be able to.

We've got

the Digital Services Act, right?

The job of the regulators is

to come up with the best regulations

possible to clearly lay out

what they're going to tolerate

and what they won't tolerate,

then to enforce them.

The platforms know that,

which is why in the last year

they've massively upped

their spending in Europe.

Of the top five firms spending

money in Brussels on lobbying,

four of the top five now

are big tech. Amazon, Facebook,

Google, TikTok

spending hand over fist in Europe

because they want

to protect their companies

by corrupting

the regulation-writing process.

My fear now

is that our job never stops

because we're gonna have

to watch the watchdogs.

Who guards the guardians?

We have to make sure that people

meant to guard the public interest

actually do it.

2016 is really the breaking point

between my old career

as just a marketer

and coming across this information

for the first time,

that ads were appearing

on Breitbart.

And then I never left.

We've never solved the problem,

so I've just retooled

my entire career

to dedicate myself to solving this.

Following Breitbart

over these past few years

has given us so much insight

into how bad actors work.

We've been able to scale our impact

in ways I never thought possible.

The ad tech industry is slated to be

the second largest criminal industry

after drug trafficking.

It's going to be

a disinformation tsunami.

The disinformation crisis is serious

and that looks very scary.

But I think the reason to hope is

this is not just a society problem,

it's not just a politics problem,

it's not even just

a community safety problem,

what we're dealing with

is a business problem.

The ad industry controls our world

just as much, if not more

than our government

at this point.

You're not powerless at all.

This entire system was built for you

in order to reach you,

in order to connect with you.

So if you as a user,

if you as a consumer go out

to the advertiser

and say, "This isn't working,

this is actually having

the opposite effect for me",

then there's nothing more important

in this world to the advertiser

than to correct that issue.

That's how we create change.

The money that funds

the internet has the power

to change the world

for good or for bad.

So the money that at the moment

has been a part of the problem

could be part of the solution

if advertisers start

to become more careful

about where their money is going.

Newspapers, like the Daily Mail

or websites like Breitbart,

they can say what they want,

but the rest of us also have

the rights of free speech

and we have the right

to say "not with my money".

We know there's a problem,

but we don't know what it is.

And we're kind of terrified.

We're lying there in bed,

we're covering our eyes

with the duvet

and saying, "There's a monster,

but I don't know what it is."

And it's really important

that we have the courage

to take that duvet down

and understand what it is

that's causing those noises,

what it is

that's making us so scared

and then deal with it

because we need to build a movement.

It won't get better

until we make it better.

We are dependent

on these tech platforms, right?

We are dependent

on these advertising systems.

These approaches that suggest

that we can all just

turn our devices off and unplug

really ignore how entrenched

they are, right? We need them

for jobs,

we need them to apply for loans

and get banking

and access medical information.

So those risks

and those benefits exist entangled

and you have to figure out

how do we get the benefits

that we want out of this

while really making sure

we're not harming people

and we're not harming society

in the process.

We're not anti-technology.

I use all of these platforms,

I use this technology,

but in the same way I don't want

clothes made with sweatshop labour,

I don't want technology platforms

I use to communicate with family

and rely on to be harmful actors

in the broader

sociocultural ecosystem.

Public opinion polling has shown

time and again

that average people

all over the world

want to see tech accountability

because people don't want

the internet to be a harmful place.

They don't want scam ads,

they don't want content

that makes them feel unsafe.

The financial motivation

behind scammers,

behind disinformation peddlers,

behind a wide range

of malicious online actors,

that financial motivation

is what puts them in this business.

And so until the big players apply

transparency to their business,

this will always be

a murky black box of a system,

yet half a trillion dollars flow

through it every year.

Thanks to the economic system

of digital advertising,

the online world has changed

completely.

As a result, it's changed us too.

As individuals and as a society.

Will we be able to change

this system in turn?

OK, so what kind of ads

do you see?

I do get adverts for,

I mean, if I want to be honest,

cashmere jumpers because

it knows that I spend

far too much time browsing websites

with cashmere jumpers on them.

I would see ads for outdoor life.

I don't have a real outdoor life,

I work quite a lot,

but I have a dream

of an outdoor life

and I think

it has been sensed there.

I just bought a shower head

as the result of a Facebook ad.

Is it still working?

Yes, it's great,

I'm very happy with it.

But it's one thing

in return for hundreds of hours

lost looking at silly things.

I cover national security

and law enforcement,

so I'm actually pretty careful

with my device.

They get very strange

if you don't give them data.

So, for example, I see a lot of ads

for women's clothing, for example,

all because they don't know

that much about me.

I constantly see

ads for phone chargers.

I must have bought one once

and since then

I've been inundated

with ads for phone chargers.

I must be a great customer

for phone chargers.

These days,

I've learned to train my algorithm

so I don't get all horrible things.

So on Instagram, for instance,

I get a lot of ads

for cat toys for my cat.

It's a nice break from my day job

when I'm in my militia profile

and I'm getting ads for body armour

and weapons holsters,

then I go home and I get to see

the ads for cat toys.

That's how I give myself

my mental break.