HomeVideos

Eliot Higgins: How Bellingcat Hunts Down the Truth | Podcast | In Good Company

Now Playing

Eliot Higgins: How Bellingcat Hunts Down the Truth | Podcast | In Good Company

Transcript

1231 segments

0:01

Hi everyone. I'm Nicolai Tangen, the CEO

0:03

of the Norwegian Sovereign Wealth Fund.

0:04

And today we have a very special

0:06

episode. We are recording in front of a

0:09

live audience of nearly 200 people.

0:12

These are my colleagues

0:14

at the Sovereign Wealth Fund. And we are

0:15

joined by the very impressive Eliot

0:17

Higgins, the founder of Bellingcat,

0:20

the world's leading open-source

0:22

investigative collective.

0:24

Now, Eliot is not a spy, not a trained

0:27

journalist,

0:28

is actually a college dropout who taught

0:30

himself to investigate war crimes from

0:32

his kitchen table in Leicester.

0:34

He's unmasked Russian assassins, exposed

0:37

chemical weapons used in Syria, helped

0:39

identify Navalny's poisoner.

0:42

And I've been really looking forward to

0:44

this, Eliot. Warm welcome.

0:45

>> Thanks for having me on.

0:46

>> So, just to start, what is Bellingcat?

0:48

>> So, um Bellingcat does something called

0:50

open-source investigations. So, that's

0:52

using publicly available material to

0:54

investigate a range of different topics.

0:56

And really over the last 15 years, what

0:59

is publicly available material has just

1:01

mushroomed to just a huge extent. It's

1:04

stuff like social media posts,

1:06

uh satellite imagery available through

1:08

things like Google Maps or other

1:09

services,

1:11

um all kinds of things like marine

1:12

traffic data or air flight data that's

1:15

also publicly available. So, we take all

1:17

that data and then we investigate

1:19

different things. And that's included uh

1:21

chemical weapons attacks in Syria, the

1:23

downing of Malaysian Airlines flight

1:25

MH17,

1:26

uh more recently a lot to do with

1:28

America's bombing of Iran, uh ISIS and

1:31

VHS raids in the US as well. So,

1:33

>> How do you decide what to what to focus

1:35

in on?

1:36

>> Well, early on it's I mean, the whole

1:38

field of open-source investigation was

1:41

very much led by um

1:43

kind of obsessive nerds on the internet

1:45

just doing what was interesting to them.

1:47

And really the big events were initially

1:49

the Arab Spring in Syria, then the

1:52

shooting down of MH17, then Russia's

1:54

invasion of Ukraine. Um and so really

1:59

that's kind of was just a bunch of

2:00

volunteers doing things that were

2:01

interesting to to them, but now we have

2:03

teams who work on financial

2:05

investigations, uh, what we call online

2:08

ideologies, which is quite broad, uh,

2:11

and conflict.

2:12

>> So, how many how many different hotspots

2:14

are you looking at at each

2:16

point in time?

2:17

>> Um, it it varies, but it's it's like at

2:19

the moment we're looking at, uh, of

2:21

course, what's happening in Iran, but

2:23

we're also looking at, uh, the DRC and

2:26

Sudan and other places where there's

2:27

ongoing conflicts. Sometimes an

2:30

investigation is a really, you know,

2:32

multi-month month process. Sometimes

2:35

it's reacting really quickly to events

2:36

that are happening on the ground in

2:38

different contexts.

2:39

>> Now, you live here in Leicester. Uh, you

2:41

got an organization in Holland, but you

2:43

have a big network. Just how does it

2:45

work?

2:46

>> So, um, we have the central Bellingcat

2:48

organization, which has about 35 staff

2:50

members, mostly researchers and

2:52

trainers. We then have a community of

2:55

volunteers who we train and, uh, we can

2:57

direct. That's about 200 people. There's

2:59

also a Discord server where we have lots

3:01

of people. It's kind of our community

3:03

server that has about 43,000 people on

3:06

it, and they, um, what's great about

3:08

that is they kind of really have the

3:09

values of Bellingcat, that it's really

3:11

really about the research first before

3:13

they form an opinion about something,

3:14

and that's something that's quite quite

3:16

rare in online spaces. But also, they

3:18

find stuff that we're not looking at,

3:20

and then that becomes kind of part of

3:21

our process as well.

3:22

>> are the values what would make me become

3:25

one of your

3:26

uh,

3:27

kind of, what should we say, reporters

3:28

or helpers or investigators?

3:30

>> It's you never prejudge a situation.

3:32

Just because you feel something should

3:34

be the truth doesn't mean it actually is

3:35

the truth. So, um, I I think that's a

3:38

very important over contentious issues

3:40

as well, where there tends to be two

3:42

sides who just want to pick fights with

3:43

each other on the internet. We're not

3:44

interested in that. We want to look at

3:46

the evidence first and draw our

3:47

conclusions based off that evidence.

3:50

Um, but also it's about inclusion as

3:52

well. It's saying it's not just about

3:54

what we do at Bellingcat, but teaching

3:56

other people these skills so they can do

3:58

their own investigations and form their

3:59

own communities. So, community building

4:02

with those values is something that's

4:03

really a core part of what we do at

4:04

Bellingcat.

4:05

>> Now, we have just so much to learn from

4:08

the methodology here. So, let's just

4:09

always think, you know, what how can we

4:11

how can we use this? But, let's just

4:12

start with the beginning. 2012, you're

4:14

sitting at your kitchen table and you're

4:16

looking at YouTube clips from the Syrian

4:18

war.

4:19

What did you What did you see?

4:21

>> Yeah, so um,

4:23

I would really like to say I had a kind

4:24

of noble

4:24

>> why were you looking at YouTube clips

4:26

from the Syrian war?

4:27

>> I I wish I could say I had this noble

4:29

intention to become a great human rights

4:30

or journalist or something. No, I was

4:32

arguing with people on the internet. And

4:34

I wanted to win the arguments. And there

4:36

were all these videos coming from places

4:37

like Libya and Syria. And really in

4:39

those kind of online communities, they

4:41

were just being used as sticks to beat

4:43

each other over the head with. They

4:44

weren't fact-checking them. They were

4:45

just saying, "Oh, this proves that I'm

4:47

right and you're wrong." But, I just

4:49

wanted to know what was going on in

4:50

these places. So, I realized you could

4:52

use satellite imagery to figure out

4:54

where stuff was filmed. And we call this

4:56

geolocation. It's a core skill now. But,

4:58

at point it was just me winning

5:00

arguments on the internet. But, I just

5:02

really thought, "Well, this is

5:04

kind of deepening my understanding of

5:05

what's actually happening in these

5:07

conflicts." And I started like posting

5:09

about on Twitter and then doing a blog

5:12

so I had more places to write with no

5:13

intention of anyone ever taking me that

5:15

seriously, but eventually they did.

5:18

>> But, what did you see?

5:19

So, I saw pictures.

5:20

>> In Syria, I I didn't speak any Arabic so

5:23

I was really looking at the content of

5:24

the videos. And a lot of it showed

5:26

unexploded munitions, um, eventually the

5:29

aftermath of chemical weapon attacks.

5:31

And I systematically tracked all the

5:33

videos coming out of Syria because they

5:36

basically used YouTube as their main

5:37

distribution platform.

5:39

Um, and those channels are usually run

5:41

by like media centers or armed groups.

5:44

So, you could actually have a catalog of

5:46

all these channels and check them every

5:47

single day. And no one else had figured

5:50

out you could do that. So, every day I

5:51

would just go through hundreds of videos

5:53

from Syria looking for stuff that was

5:55

new or unusual, really focusing on IDing

5:58

weapons in particular.

5:59

>> Then you started Bellingcat and that the

6:01

Malaysian airline was shot down.

6:03

Just how how did that case develop?

6:06

>> So, um I was blogging um on a really

6:09

awful looking blogspot website. I

6:12

thought I needed more professional

6:13

website and a better name. So, I

6:15

launched Bellingcat in July 2014 and 3

6:18

days later MH17 was shot down. So, you

6:20

have this kind of real mass movement on

6:22

social media of people digging through

6:24

stuff trying to figure things out. And

6:26

Bellingcat kind of been became the kind

6:28

of center point of a lot of that. So, I

6:30

was publishing articles and then slowly

6:32

building up a small team of kind of

6:34

volunteer researchers who every day were

6:36

digging through every bit of information

6:38

about MH17 and searching for stuff. And

6:41

that led us to finding all kinds of

6:42

stuff that no one else

6:44

anywhere had found like the origin of

6:46

the missile launcher, where it had

6:47

launched from, and other details like

6:49

that.

6:50

>> So, in the book they go into the story

6:51

in great detail and you're going to see

6:52

how that how that building that case.

6:54

Now, the Russian Ministry of Defense

6:56

weren't particularly pleased with you.

6:58

>> Yeah, so we've had kind of an escalating

7:00

campaign against us coming from Russia,

7:02

really starting in 2015 with places like

7:04

Russia Today and Sputnik News writing

7:06

critical articles of us.

7:09

That led to them trying to hack our

7:11

emails, our website. Most recently

7:14

there's been six Bulgarians who were

7:16

jailed because they were spying on one

7:17

of my colleagues for 2 years. And that

7:19

was linked to the Russian FSB. So,

7:22

there's really been an escalation of the

7:24

years of how they've responded to our

7:25

work.

7:26

>> Now, we continued poisoning in the UK.

7:29

What was that?

7:30

>> Yeah, so um when the Skripal poisoning

7:32

happened, we we couldn't really do much

7:35

kind of in the initial moment. But when

7:37

the identities of the poisoners was were

7:39

released, they uh there was a Russian

7:42

news site that got the flight manifest

7:44

of the flight and their passport numbers

7:45

were just a few digits apart, which is

7:47

very suspicious. So, one of my former

7:49

colleagues, Christo Grozev, he he's very

7:52

good at using the kind of um what you

7:54

call the kind of

7:55

gray market of data in Russia. In

7:57

Russia, basically all government data is

7:59

for sale if you know the right people to

8:01

speak to.

8:01

>> Yeah.

8:02

>> So, we got their passport registration.

8:03

>> only in Russia or is that everywhere?

8:05

>> It's mainly in Russia in our experience.

8:07

There might be other places, but

8:08

Russia's particularly bad for that cuz

8:10

you know, the snake rots from the head.

8:11

You know, it it's everyone's corrupt.

8:14

So, we were buying things like the

8:16

registration forms of passports and

8:18

discovering they had the Russian MOD's

8:21

phone number stamped on these guys'

8:22

passport forms and using government

8:25

databases of house registrations and car

8:27

registrations to kind of unpick their

8:29

identity. And eventually, that allowed

8:31

us to find the real identity of these

8:33

suspects. And so, what happened?

8:35

So, um

8:37

Well, part of it is we were the first

8:38

people to show that these two guys who

8:41

had just been on Russia Today saying

8:42

they were tourists visiting Salisbury

8:44

Cathedral and you know, talking about

8:46

the 123 m spire. As they were on TV, we

8:50

were getting the data ring showing that

8:51

they were Russian spies and we were able

8:53

to publish straight away. And that had a

8:55

huge impact. We had like nearly every UK

8:57

newspaper had our work on their front

8:59

page the following day.

9:01

Um and that really kind of

9:03

led us then to the poisoning of Alexi

9:05

Navalny as well because we discovered

9:07

the network of chemical weapon

9:09

scientists who were producing these

9:11

chemical weapons, where they worked, and

9:13

we were able to buy their phone records

9:15

from people in Russia and hit see them

9:17

phoning up FSB agents just before

9:19

they're going to poison him. So, we

9:22

could track the FSB agents as well cuz

9:23

the phone records aren't just who you've

9:25

called, it's every single cell phone

9:27

tower you connect to, which can then be

9:29

mapped out. You can actually follow

9:30

people as they're moving around Europe

9:33

and Russia, you know, minute by minute.

9:35

And that's what we did with their data

9:37

cuz Russia's so hideously corrupt in

9:40

that way. And then he called them up.

9:42

Yeah, he called them up. So, um

9:44

we we had this um filmmaker with us who

9:46

was just filming interesting things uh

9:48

we were doing. And uh we thought

9:51

wouldn't it be fun to call these people

9:52

up now we've got their phone numbers.

9:54

And [laughter]

9:56

we thought it would be like

9:58

over in 10 minutes. They'd all hang up

10:00

or you know swear at us or something.

10:02

And that happened for the first three or

10:03

four calls. But then And then Navalny

10:05

was the guy calling them up. So, then we

10:07

tried we um spoofed the phone number of

10:10

the FSB, called one of the guys up, and

10:13

Navalny pretended to be uh kind of a an

10:16

officer assessing the assassination

10:18

attempt.

10:19

It's worth tracking down the video and

10:21

watching the whole thing. It's in the

10:22

documentary we did, but the full video

10:24

is an hour long. And he um got the guy

10:27

to give him a blow-by-blow account of

10:29

exactly how the poison had done. They'd

10:31

basically got to his hotel room. You put

10:35

poison on the seam of his underpants.

10:37

And then when he put them on and went to

10:39

the airport, it activated and uh started

10:42

to nearly kill him. But he just gave us

10:44

a blow-by-blow description then how he

10:47

when they recovered Navalny and he was

10:49

injured, they got his clothes and then

10:50

cleaned his kind of underpants really

10:52

carefully to get rid of the um poison

10:54

they'd used in the assassination. And we

10:56

recorded the whole thing and then that

10:58

became our documentary. But we'd

11:00

actually um Putin on the Friday after we

11:03

did that phone call that just given a

11:05

big speech about, you know, I've nothing

11:06

to do with this. Navalny, you know, this

11:08

is all untrue. And then on the Monday we

11:10

were able to reveal this hour-long video

11:13

of one of his spies explaining exactly

11:15

how he did the poisoning.

11:16

>> Do you check your underpants every day?

11:18

>> [laughter]

11:18

>> It's I mean I would advise everyone does

11:20

that every day.

11:22

>> I mean you're a you're a high-value

11:24

target, right?

11:24

>> Well, I mean it's it's something we have

11:26

to take seriously. So, it's like at the

11:28

moment I have West Midlands or East

11:29

Midlands counter-terrorism police uh

11:31

paying me the occasional visit to let me

11:33

know what's going on in their world,

11:35

which is always a bit disconcerting. Um

11:38

you do have to be kind of a lot more

11:39

security-aware, and aware of when

11:42

something weird happens is you kind of

11:44

think about is that just general

11:46

weirdness, or is that a weirdness that's

11:47

particularly focused on on me? It's like

11:49

we had one guy after a big event we did

11:52

in the Netherlands, a couple of the team

11:54

were walking around, and this guy was

11:57

following them around taking photos of

11:59

them. So, they managed to snap a photo

12:01

of him, thinking this guy's dodgy, maybe

12:04

a spy. And they they spent weeks trying

12:06

to figure out who this guy was. He was

12:07

just a fan. He was just too shy to come

12:09

up and say hello, so he was just taking

12:11

photos from a distance, which is, yeah.

12:13

We we contacted him and said, "Hey, by

12:15

the way, please probably best not to do

12:17

that in the future."

12:18

>> Yeah, well, the the the people taking

12:19

photos today are fans, too, so

12:21

Um now, um

12:24

we put I think we probably put in a

12:26

jingle here because we're suddenly

12:27

changing topics. The difference between

12:29

now and 2012 in terms of what's

12:31

available online in terms of material,

12:34

what um what's the magnitude of change?

12:37

>> Well, I I think one real change is the

12:39

access we now have to satellite imagery.

12:42

So, back in 2012, you were very reliant

12:44

on things like Google Earth and Google

12:45

Maps. Um now, for a monthly fee, we use

12:49

Planet Labs, where we can only get daily

12:52

imagery of of various sites, but we can

12:54

actually task satellites to specific

12:56

locations. So, sort of a James Bond, but

12:58

if there's this area we're interested

12:59

in, we can put in a tasking request and

13:02

get satellite imagery of that in the

13:03

next few days. Which, for our kind of

13:05

work, when you're trying to verify stuff

13:07

as quickly as possible, is incredibly

13:09

useful.

13:10

Each kind of conflict or situation has a

13:13

kind of different a kind of um

13:15

uh characteristics around how social

13:17

media is used. So, with Syria, you know,

13:19

Twitter, Facebook, and YouTube were

13:22

where most stuff was being posted. With

13:24

the conflict in Ukraine, especially

13:25

since 2022, Telegram was the kind of big

13:28

website. It constantly changes. If

13:30

you're looking into criminal activity,

13:32

you might find a lot on TikTok, for

13:33

example. There's lots of people who do

13:35

crimes and post them on TikTok, and then

13:38

um do that for months and months and

13:39

months until someone like us comes

13:41

across it and unpicks the whole thing.

13:43

So, um yeah, it's more

13:46

you constantly have to learn, you have

13:47

to see how different situations evolve,

13:50

how technology is being used, and look

13:52

for opportunities. And you know, there

13:54

are like with Iran, the internet was

13:56

shut down there for a very long time in

13:58

the early parts of the current conflict.

14:00

Um and that meant we had to use other

14:02

techniques to analyze satellite data,

14:04

for example, cuz there was no satellite

14:05

data, either. So, we used a system that

14:08

uses um infrareds

14:10

um satellite imagery and compares the

14:12

differences to them using a

14:14

very complex program I can't possibly

14:16

explain. But um that allows us to see a

14:18

kind of heat map of where damage is

14:20

occurring across Iran and elsewhere in

14:23

the Middle East at a time when there was

14:24

no visual satellite imagery of that kind

14:26

of stuff.

14:27

>> Supposedly, Israel hacked into normal

14:30

civilian's camera all over Iran, right?

14:32

To check out where the

14:34

the leaders were. Do you hack into

14:36

systems like that, too?

14:37

>> No, and we we try to avoid crimes

14:39

whenever possible. But [laughter]

14:41

>> What what does that mean, try to avoid?

14:42

>> Well, well, it's For example, the um

14:45

sometimes I mean, pretty much everything

14:47

we do is a criminal offense in Russia at

14:49

the moment, mainly cuz we did it and

14:50

then they made it a criminal offense to

14:52

do it. So, for example, the um

14:55

Russian soldiers used to post loads of

14:56

social on social media about where they

14:58

were, what they were up to, their

14:59

friends. And we used that to reconstruct

15:01

exactly where they were on the MH17. But

15:04

then the Russian um government passed a

15:06

law to ban soldiers from doing that ever

15:09

again, partly cuz of what we were doing

15:10

in terms of that. But it's also like the

15:12

stuff we're doing with the um Navalny

15:15

and Skripal investigations. We wouldn't

15:17

buy data anymore, because that's become

15:19

that's kind of of area we felt even when

15:21

we were doing it, but it's kind of a

15:23

choice of, you know, we we knew how the

15:25

data was and if we ignored it then

15:27

people were literally being killed with

15:29

chemical weapons and we found that there

15:30

were multiple people who were killed

15:31

like that that hadn't even really made

15:33

it to the media. So, there was that kind

15:35

of

15:36

complex ethical conversation we had

15:38

around that.

15:38

>> What's the weirdest source of data

15:40

you've used ever?

15:42

>> Um

15:44

This wasn't one of our investigations,

15:46

but it always I think it definitely

15:47

ticks the weird box. So, a a

15:49

couple years ago there was a Instagram

15:52

post that was being shared on social

15:53

media. It had been copied and pasted and

15:56

it was supposedly from Alexandria

15:58

Ocasio-Cortez's

16:00

social media account and it showed a

16:03

pair of women's legs in the bath. It's

16:06

like a saucy photo. Now, very quickly

16:09

the WikiFeet community, which is the

16:11

foot fetish community, who rates

16:13

people's feet, immediately said, "That's

16:16

not her feet. We know what her feet look

16:17

like. It's actually this person's feet."

16:20

And they found the original photograph

16:22

of it. So, but you know, in all of this

16:24

work, I mean, if you go back to

16:27

um

16:27

you know, the rendition flights that

16:29

were happening in the early 2000s, it

16:31

was plane spotters who found that

16:32

network. So, people with really really

16:35

specific interests and hobbies can

16:37

actually be a really useful source of

16:39

information. You just have to kind of

16:41

know what kind of people out there and

16:43

how to interact with them safely, I

16:45

guess.

16:46

>> So, nerds nerds are good.

16:48

>> Nerds and perverts, yes.

16:49

>> [laughter]

16:51

>> We have the old nerd, too. We love them.

16:55

>> [laughter]

16:56

>> What's the most shocking piece of

16:58

disinformation that you've seen ever?

17:01

>> Oh god, I mean, it's so so constant.

17:04

It's like there's an ongoing campaign

17:06

from Russia at the moment. It's called

17:08

various things. One of them is the

17:09

Russian doll campaign cuz what they've

17:10

been doing is making fake videos of news

17:13

sites, including myself.

17:16

And they made a 3D animated kind of

17:18

PlayStation 2 era graphics

17:20

avatar of me to do some of the videos.

17:24

Uh, another thing they did in that

17:25

campaign. So, a typical video would be

17:27

like, you know, the Armenian president

17:28

is a drug addict. Not that anyone would

17:30

even bother interacting with that post,

17:32

but they just churned dozens of these

17:34

out every single week. And they sent

17:36

email them to us directly, so we engage

17:38

with them, which we don't. But, they

17:40

included jigsaw pieces in some of these

17:42

posts. So, it'd be the fake news video

17:45

and a jigsaw piece.

17:46

And, um, they were all numbered.

17:49

So, I started piecing them together over

17:51

a period of weeks and weeks. And what it

17:53

was, it was a jigsaw puzzle of my face

17:58

on a pile of poo with, um, "Belling

18:01

at Elliot Higgins" as the logo. Sorry my

18:05

language, but they'd included this in

18:08

their disinformation as a kind of weird

18:10

personalized message to me. But, things

18:12

I like doing jigsaws, so for me this is

18:14

just fun. And then I had like something

18:16

I could kind of post on social media as

18:18

well. So, it was like, "This is just

18:19

keep doing it." They actually started a

18:21

third jigsaw puzzle. There were two, and

18:22

they did a third one. And I think I had

18:24

posted so much about the second one they

18:26

did, they actually got told to stop

18:27

doing it, which I was very disappointed

18:29

about cuz it looked good.

18:31

>> What are we up against in terms of

18:32

number of people? What are What kind of

18:33

the resources, let's say,

18:36

uh, in Russia to

18:38

conduct those kind of campaigns? What

18:39

are we What are we What are we What are

18:40

we up against here?

18:41

>> Well, I mean, it's kind of a what we're

18:42

looking at is a kind of development of

18:44

the Internet Research Agency, which

18:45

really kind of dominated the kind of

18:46

2016 scene. Um, that was linked to

18:49

people who had now been killed by the

18:51

Russian government. So, now it's being

18:52

run by another oligarch. But, they're

18:54

they're dealing with hundreds of people

18:55

who are doing this. The The thing with

18:57

disinformation, though, we tend to treat

18:59

it as a kind of foreign actor issue, but

19:01

a lot of disinformation and

19:03

misinformation comes from online

19:04

communities who generally believe

19:06

they're creating good, useful

19:07

information, but also have kind of

19:10

grifters in that community and sometimes

19:12

Russian or you know, foreign

19:13

interference that's kind of amplifying

19:15

those communities. But for

19:17

disinformation to work, you need people

19:19

who want to engage with it. And this is

19:21

why a lot of this recent Russian

19:22

disinformation doesn't work. They did a

19:23

huge campaign around Armenia, hundreds

19:26

of videos, fakes, all sorts. It got no

19:29

engagement because not really that many

19:31

people who speak English on social media

19:34

really care about what's happening in

19:36

Armenian politics. So it got no genuine

19:38

uplift.

19:39

>> When you start these uh investigations,

19:40

how do you make sure do you have like a

19:42

hypothesis and you test it, or how do

19:44

you how do you work? How do you make

19:45

sure that you aren't biased in your

19:48

research?

19:48

>> Yeah, I mean, it depends on the starting

19:50

point and the scale of something. So,

19:53

um with the Alex Wrecker and Manny Good

19:55

Shootings in Minnesota, there straight

19:57

away you had videos that were being

19:59

shared and dissected on social media.

20:01

So, in that case, what we were trying to

20:03

do is get information out quickly that

20:05

looked at certain key claims, which we

20:07

could say yes, this is true or not. So,

20:10

Alex Wrecker was disarmed and then shot,

20:12

and that became a point of contention,

20:14

but we released a

20:15

video that kind of synchronized multiple

20:17

videos to show the moment he was

20:19

disarmed and then shot in one complete

20:22

sequence rather than the fragments that

20:23

were out there. So, that's when you kind

20:25

of have to respond quickly because there

20:27

is a discourse, and you know, the

20:28

government's going to lie about it, too.

20:30

But in other cases, it could be a lot

20:32

more, you know, gather a huge amount of

20:34

information, start looking at what

20:36

patterns it's showing you, um try to

20:39

verify as much of that information as

20:40

possible. So, uh we're looking at kind

20:43

of Israelis um air

20:46

air strikes in Lebanon very, very

20:47

recently, and that was a huge data set

20:49

we were looking at rather than kind of

20:51

individual videos and focusing on just

20:53

one particular incident. So, there's

20:55

just it's a matter of scale and you

20:57

know, what question we're trying to

20:58

answer.

20:59

>> You mentioned the importance of speed in

21:01

the Minnesota case. Just why is speed so

21:03

important? Why is it so important to to

21:05

the truth out before

21:07

uh

21:08

false perceptions have uh kind of

21:11

established themselves.

21:12

>> Cuz generally once people feel they know

21:14

the truth about a subject,

21:16

they'll not change their mind about it.

21:18

And in those moments when there's, you

21:19

know, just a few hours where there's a

21:21

really uh vigorous discourse online, and

21:24

you know that it's going to be a

21:26

government that's going to come out with

21:27

a version of events that's probably not

21:29

going to match reality, trying to get as

21:31

much information into that discourse is

21:32

important because

21:35

people take those kind of objects you

21:36

create and then spread them across

21:38

multiple websites where all this

21:39

discourse is occurring. So, you don't

21:42

have to distribute it just as as like a

21:44

single node. You're kind of can rely on

21:47

other people to pick that up and take it

21:48

elsewhere. When it's something that's uh

21:50

kind of longer-term, kind of deeper

21:52

investigation, you don't have that kind

21:54

of engagement happening. So, you have to

21:57

really approach that in a different way,

21:58

both in how you investigate it, but also

22:00

then how you distribute that

22:01

information. How do you reach the

22:03

audiences you want to see it?

22:04

>> So, how fast do you need to be now?

22:05

Let's say there is a shooting, which is

22:07

bad.

22:08

Where How fast How quickly do you need

22:10

to be out there with a narrative?

22:12

>> Well, I mean, I I I

22:14

think you've got

22:15

at best two or three hours in many

22:17

cases, if it's something like those um

22:18

shootings in Minnesota.

22:21

Um something that took a little bit

22:22

longer, but was still kind of influenced

22:24

the discourse, which if we look at the

22:25

um Iranian um school bombing where the

22:28

girls were killed, um we found a video

22:30

of Tomahawk missiles hit striking close

22:33

to that building, but not on it. But we

22:34

got that information out there um

22:37

probably within about 48 hours of the

22:40

air strikes happening. And then Donald

22:42

Trump was being asked about, you know,

22:43

why is there a video of Tomahawk

22:44

missiles? By journalists who had seen

22:47

our work, know where reliable, and then

22:49

could actually ask that question knowing

22:51

that, you know, that is a fact, not just

22:53

something that they've kind of read on

22:54

the internet and rumored. And then

22:56

Donald Trump responded by saying, "Well,

22:58

the Iranians have Tomahawk missiles as

22:59

well." Which is completely ridiculous,

23:01

but he was forced into that position

23:03

because we could present verifiable

23:05

evidence.

23:06

How much more are governments lying now

23:08

compared to

23:10

10 years ago?

23:12

I mean, it depends on the government, I

23:13

think, more than

23:14

>> didn't want to be I didn't want to be

23:15

specific.

23:16

>> Certain governments that are kind of to

23:18

the west of this country, they

23:20

are lying The thing is

23:23

it's kind of a it's authoritarian

23:24

capture ultimately, because then it

23:25

becomes about loyalty tests. It doesn't

23:27

come about the truth, it becomes about

23:29

how you demonstrate your loyalty to the

23:31

the in-group, and then how you can

23:33

define the out-group by their refusal to

23:36

tow the line. So, this is really what

23:38

we're saying seeing in the US is

23:39

authoritarian capture of various

23:42

institutions, the presidency,

23:44

the kind of bending of the knee of

23:45

various organizations, where the truth

23:47

is no longer important. It's all about

23:49

those loyalty tests.

23:51

>> How do you think this will develop?

23:52

>> Uh so, a lot of my work at the moment

23:54

looks at issues around disinformation

23:56

and democratic theory and kind of where

23:58

we've got how we've got to where we are

24:00

at the moment.

24:01

I think the the the one thing that

24:03

really worries me about that work, and

24:04

I've spent a long time doing this, is

24:06

that the way we've kind of set up our

24:09

society and information system now has

24:11

changed completely. We've gone from this

24:14

information system that was top-down,

24:16

elite-controlled,

24:18

uh and also normalized because of that.

24:20

We had institutions, the media, who, you

24:23

know, they kind of controlled the flow

24:24

of information to the public to a large

24:26

extent. And the public were recipients

24:28

of information. And in that

24:30

relationship, the public had to trust

24:32

those institutions to produce verifiable

24:34

information that they could be

24:36

deliberated on it procedurally through

24:38

courts, through parliaments, and then

24:40

people would be held to account for

24:41

wrongdoing. And that was the public the

24:43

kind of social contract we had with

24:45

those institutions. That's now collapsed

24:48

into a peer-to-peer, many-to-many

24:50

information system, where institutions

24:52

are competing for attention with the

24:54

public in systems that rewards

24:57

engagement over the truth. And those

25:00

platforms like X, for example, that

25:02

monetize their social media process,

25:05

rewards basically engagement more than

25:07

anything. So, what that leads to is a

25:09

system where populist, authoritarian,

25:12

and conspiratorial ideas perform really

25:14

well because they don't need the

25:16

procedural certainty behind it. You just

25:18

say this is true, and people nod their

25:20

head because they're prepared to believe

25:22

that in a way.

25:23

>> And the whole clickbait

25:24

>> Yeah, yeah, it's just all about, you

25:26

know, what engages people rather than

25:28

what's truthful. And we see this often

25:30

around conflicts where there's a lot of

25:32

public engagement. You know, the

25:33

situation in Gaza produced a lot of fake

25:37

information because people just wanted

25:39

to get the clicks and monetize the

25:41

engagement that they were get getting on

25:42

platforms like X.

25:44

>> One of the bigger questions on on

25:46

democracy, [clears throat]

25:47

I mean, you talk about verification,

25:49

deliberation, accountability. Could you

25:50

just explain briefly the concept?

25:52

>> Yeah, so you can understand democracy as

25:55

having three core functions when it

25:57

works well. That's verification, how do

25:59

we know what's true? Deliberation, how

26:01

do we decide to what we do on that? And

26:03

then accountability is how we hold

26:05

powerful the powerful to account. And

26:07

when that functions, it restrains power.

26:09

But what we tend to see more in our

26:11

democracies is a kind of performative

26:13

version of that where

26:15

it's not really about holding the

26:16

powerful to account or real

26:18

verification, it's about getting

26:19

elected. It's about building a coalition

26:21

of voters who'll be enough to get you

26:23

in. But that then slides into a form of

26:26

simulated democracy which becomes

26:28

disordered where verification is now

26:31

about a predecided set of truths. And if

26:34

you go outside of that, you become

26:35

attacked by the in-group. Deliberation

26:38

is also about really identifying who's

26:40

loyal rather than identifying what to do

26:43

on this information. And accountability

26:45

is always targeted outwards from the

26:47

in-group. And you can look over to the

26:49

US and see that happening very, very

26:50

clearly every single day.

26:52

>> And so what can democracies do

26:54

to counteract this? Well, unfortunately

26:55

it's a big issue and it requires a lot

26:57

of

26:58

involvement with lots of different

27:00

sectors. I I speak to policy makers,

27:03

government, people working in civil

27:05

society about these issues and there's a

27:06

recognition there's a huge problem.

27:08

>> Yeah.

27:08

>> The problem we've got is really since

27:10

2016 has been defined as an issue of

27:13

foreign interference, of disinformation.

27:16

And that if somehow we can get rid of

27:17

that issue that false information,

27:20

society will fix itself and democracy

27:22

will flourish again.

27:23

Problem is that's complete nonsense.

27:26

It treats disinformation and the

27:28

problems it causes as a kind of supply

27:30

side issue. That if only we get rid of

27:32

the supply then all these problems will

27:34

fix itself. But really that's driven

27:36

when people feel a sense of betrayal, of

27:39

distrust in those institutions and they

27:41

look for alternative sources

27:43

in these online spaces where engagement

27:46

is rewarded over accuracy. So even

27:48

though they might be trying to seek this

27:49

truth, they're going into environments

27:52

which are not designed for truth

27:53

seeking. They're designed for

27:54

engagement. So people get drawn towards

27:57

more conspiratorial ways of thinking and

27:59

again authoritarianism, populism and

28:01

conspiracy theories perform extremely

28:03

well and slow procedural verification

28:07

through institutions, the media, through

28:09

Bellingcat doesn't perform as well in

28:11

those environments.

28:12

>> Do you think any of this is important

28:13

for us as a long-term investor?

28:15

>> Well, I think

28:17

when reality becomes contest, I mean

28:20

Does anyone work on anything to do with

28:21

Iran at the moment and do you know what

28:23

the hell's going on? Cuz day-to-day the

28:25

story of what's happening changes. So So

28:27

without that reliability without being

28:30

able to rely on what could be truthful

28:32

and what's not, then it's very hard to

28:34

make any real, you know, tactical

28:35

strategic decisions about things. And

28:38

this is where open source investigation

28:39

is so valuable. I mean we train people

28:41

in all kinds of different sectors. I

28:43

mean we've trained investment firms,

28:44

journalists, you know, all kinds of

28:46

people to do this kind of work.

28:48

>> But if you take if you take the Iran

28:49

conflict as an example, how much

28:51

information flow is there now from each

28:53

side? I mean, how would you think they

28:55

compare?

28:56

>> Um

28:57

>> [sighs]

28:58

>> information I mean

29:00

>> Cuz we got so little information

29:02

>> is also information. It's just very poor

29:04

quality information that you can't

29:05

trust. So, you then have to use other

29:07

ways of figuring out what's going on.

29:09

And this is why a balance account we've

29:11

been looking at Iran, there is a limit

29:12

on satellite imagery and social media

29:15

information that has been useful in the

29:16

past, but there are other ways to look

29:18

at what's going on there.

29:19

>> How is AI changing all of this?

29:21

>> Um

29:23

I think AI gives people a permission

29:25

structure to deny reality. So, if they

29:27

see a picture they don't like or a

29:28

video, they can just say, "Well, that's

29:29

AI." And that's the kind of end of their

29:32

engagement with that particular object.

29:35

Um it also allows people to kind of make

29:37

cases for stuff that's not really true.

29:38

It's kind of

29:40

you see so often people will engage with

29:42

an AI image, they know it's AI, but it

29:45

supports something that they think is

29:47

true. So, it's this kind of truthiness

29:49

of the imagery comes across rather than

29:51

it being factual. Um

29:54

I mean, one example of that is there was

29:55

a far-right UK rapper who was entirely

29:59

AI-generated. The music, the face,

30:00

everything was fake, but lots of people

30:03

engaged with it because it was content

30:04

that they, you know, wanted to see and

30:07

that they thought other people should

30:08

see as well.

30:09

Um in terms of actual open-source

30:11

investigation,

30:13

I haven't really um seen AI really add

30:16

much to our actual

30:18

you know, processes so far. You can do

30:21

stuff like vibe coding sometimes to like

30:23

scrape a website that's being awkward,

30:24

but there's nothing that's really like

30:26

completely changing the game around

30:28

open-source investigation.

30:29

>> think that's a bit surprising.

30:31

Do you think it will happen when you get

30:32

more kind of agents in place?

30:34

>> It it might do. I mean, I use AI a lot

30:38

for various experiments and stuff like

30:39

that. So, you know, just recently I I've

30:42

for years wanted to scrape um all the

30:45

Syria documents of the Organization for

30:47

the Prohibition of Chemical Weapons

30:49

website cuz that's my thing I'm into.

30:51

That's a nerd thing, don't worry about

30:52

it. But, it I just basically went to

30:55

Claude and said, "How should I do this?"

30:57

And it wrote me a Python script and

30:59

within 10 minutes it done a job that I'd

31:00

been putting off for 8 years. So, that

31:03

can be really, really useful for just

31:05

kind of experimenting and poking around.

31:07

We've tried to get AI's to do

31:09

geolocation

31:10

and they have um a mixed set of results,

31:13

I think it's fair to say, but they can

31:15

also provide context clues that you

31:17

might miss. Like, it might identify a

31:19

certain type of tree that's only going

31:21

to grow in a certain range of, you know,

31:23

hills in some country and then you're

31:24

like, "Okay, I know where to look now."

31:26

You of course got to double-check that's

31:28

actually true, but it can provide extra

31:30

clues.

31:30

>> And geolocation is a game you play with

31:32

your son.

31:33

I gather.

31:34

>> Yeah, so

31:35

>> Tell me about the game. I mean, how do

31:36

you play a geolocation game?

31:37

>> Well, I just like find some photo and,

31:39

you know, he'll kind of try and find it

31:40

on Google, not that like a walk run,

31:42

but, you know, it's just um it's a fun

31:45

thing to do. We're actually saying that

31:46

there's a like a game that's based off

31:48

geolocation that's being released soon

31:50

and we'll probably do a live stream of

31:51

that for our fundraising. So, it's kind

31:53

of weirdly like there's um this guy

31:55

called Rainbolt who does this thing

31:57

called GeoGuessr. So, GeoGuessr, it

31:59

gives you an image and then you click on

32:01

a map of where you think it could be in

32:02

the world. And he's like

32:05

like the world expert in it. He'll look

32:06

at a picture, immediately click, and

32:09

then be within like 100 m of where the

32:10

picture is taken. He can see all the

32:12

context clues immediately. But, yeah, he

32:15

often gets photos from people saying

32:16

like, "Here's a, you know, family

32:18

member, you know, where could he be?"

32:20

And they'll find it in like 5 minutes.

32:22

>> Cool.

32:22

>> Now, you've been spending a lot of your

32:23

life trying to find the truth, right?

32:25

Which is in a way what you do.

32:27

>> Mhm.

32:27

>> What's what's driving you here?

32:30

>> Well,

32:31

I mean, it was as I said when I started

32:33

it was arguing with people on the

32:34

internet, to be honest, but

32:36

um

32:36

over the years it became really clear

32:38

how important this information was in a

32:40

lot of different contexts that

32:43

you know, this like with MH17

32:45

immediately the Russian government were

32:47

lying and producing fake evidence, but

32:49

we could say that was fake evidence

32:50

because we could do open-source

32:51

investigations to examine it and verify

32:54

if it was true or not. It turned out it

32:55

wasn't true. It with Syria and chemical

32:58

weapons use, which I spent a lot of time

32:59

on, there's a huge amount of

33:01

disinformation and propaganda about that

33:03

coming from online communities and the

33:05

Russian government. Um and again, it's

33:08

there's always going to be things that

33:09

are contested, but usually when there's

33:12

got contestation happening, it's just

33:14

two people or two communities arguing

33:17

with each other about what they think

33:18

should be correct rather than doing

33:20

analysis. So we're trying to say build

33:21

communities around those values and

33:23

ideas that

33:25

you do the investigation, you verify

33:27

information, and then you have your

33:28

opinion. You don't have your opinion and

33:30

then fit the investigation around that

33:32

is often kind of what happens around

33:34

that discourse.

33:35

>> What are the personal costs to you as a

33:37

person?

33:38

>> I Well,

33:38

>> I mean, not monetary, but just as a

33:40

>> Well, I mean, this there is the security

33:42

aspects of it cuz um like there's

33:45

certain places I won't travel to at the

33:46

moment. Obviously, Russia's off the

33:47

table forever.

33:49

But like I can't travel to the US at the

33:51

moment because um this is conspiracy

33:54

theory called the censorship industrial

33:55

complex, which presents the idea that

33:58

the Biden administration and academics

34:01

and journalists basically colluded to

34:03

you know, do various things. And um

34:06

Bellingcat kind of got tied up in that

34:08

just weird kind of

34:10

got had nothing to do with it, but

34:12

people don't like Bellingcat certain

34:13

communities, so we got kind of named

34:15

with everyone else. And there's people

34:17

in the State Department who've been

34:18

looking at communications between

34:20

myself, Bellingcat, and the State

34:22

Department to prove their case, but they

34:24

don't exist. So that just makes them

34:26

think there's a big cover-up around this

34:28

stuff now. Um Elon Musk

34:30

>> So you have to I'm sorry, Elon Musk

34:31

>> Yeah, so Elon Musk called us a psyop. So

34:34

um we know this yeah, the US

34:36

administration is definitely knows who

34:38

we are and we've been very critical of

34:40

them, published embarrassing

34:42

investigations, and I don't want to take

34:44

the risk of, you know, turning up at an

34:47

airport in America and then being off to

34:48

a nice detention center for some reason.

34:50

So you basically have to stay in

34:51

Leicester.

34:52

Yeah, well, I can travel a bit outside

34:54

of it if I'm lucky, but yeah.

34:55

>> [laughter]

34:57

>> How do you fund How does Bellingcat fund

34:59

you fund itself?

35:00

>> Yeah, so

35:01

um

35:02

when I started I crowdfunded using

35:04

Kickstarter, but then as we've grown,

35:07

um there's been foundational funders

35:09

like the Open Society Foundations, um

35:11

family foundations. We raise about 30%

35:14

of our income from workshops. We have

35:17

small donations, but um one of the

35:19

things that's happened recently that's

35:20

been a real shock to the whole kind of

35:22

sector has been um the US aid funding

35:24

cuts.

35:25

About 25 to 40% of the global funding

35:28

for the kind of, you know, investigative

35:31

journalism NGOs was lost overnight

35:33

because of those US aid funding cuts. So

35:35

even though Bellingcat didn't take any

35:37

of US aid funding money, it the whole

35:39

funding environment is a nightmare now.

35:41

So you have to kind of really rely now

35:44

on

35:45

kind of small donors, high net worth

35:47

individuals, um cuz the foundations are

35:50

now under a huge amount of pressure to

35:53

basically save a lot of organizations

35:54

that are going under. And especially in

35:56

the global south where a lot of that

35:59

funding had was coming from US aid, a

36:01

lot of these small media NGOs who are

36:03

doing really high quality investigative

36:05

journalism just shut down overnight

36:06

because of it.

36:07

>> So when you look at the world, are you

36:09

an optimist or pessimist?

36:10

>> Um

36:12

I I I would say I'm a cynical optimist.

36:14

It's the best way to think of it. I The

36:16

thing is in my work I've seen what you

36:18

can do. This

36:19

um

36:20

you know, getting not just what we do at

36:22

Bellingcat, but showing other people

36:24

these skills, be they

36:26

um you know, journalists in lots of

36:27

organizations we've trained. I mean,

36:28

we've probably trained several thousand

36:31

journalists and activists in open source

36:32

investigation. But also the online

36:35

communities that have seen our work and

36:37

learn how to do open source

36:38

investigation just by the way we kind of

36:40

include all the details in our articles

36:42

and case studies and then they find

36:44

stuff themselves that is really really

36:46

impactful and does actually make a

36:48

difference. That's something that gives

36:50

me hope. The difficult part is doing

36:52

that at scale. How do we get as many

36:54

people involved as possible, especially

36:57

now we live in this environment where,

36:59

you know, the attention is really the

37:01

name of the game, not the truth. And

37:03

that's really kind of poisoned the

37:05

information environment for a lot of

37:06

people.

37:07

>> And is that a temporary thing? Are we

37:08

just temporarily in a bad spot when it

37:10

comes to lies and truth and democracies

37:13

or

37:14

is this

37:15

just a step on, you know, is this going

37:17

to just going to continue and get worse?

37:18

>> I think the situation we're now in at

37:20

the moment fuels those kind of worst

37:22

aspects and is the default state unless

37:24

we actually take real action against it.

37:26

It's been interesting to look at Keir

37:28

Starmer's recent kind of the reporting

37:30

on what he's been saying about online

37:32

safety, you know, 16-year-olds being

37:34

banned from social media. I think there

37:37

needs to be more around education in

37:38

terms of building critical thinking

37:40

skills in young people. So, a lot of our

37:43

work at the moment is working with

37:44

things like Cambridge University Press

37:46

and Assessment, the National Institute

37:47

of Teaching about developing those

37:49

critical thinking skills and teacher

37:51

training material and for students. We

37:53

work with universities to build

37:55

investigative hubs and open source

37:57

training material so students can do

37:59

their own investigations and build their

38:01

own communities around that. So,

38:03

you have to proactively build this

38:05

stuff. A lot of people, you know, look

38:08

back at the kind of interwar period

38:10

where, you know, there's the rise of

38:12

fascism and they think that democracy

38:14

just kind of fixed itself and figured it

38:16

out and, you know, Nazi Germany was an

38:18

outlier. But that took real action to

38:21

build democratic systems to actually

38:23

make people feel they could trust those

38:26

institutions again after World War I.

38:28

And nowadays it's just kind of like,

38:30

well, you know, people figure it out for

38:31

themselves cuz democracy is the default

38:33

and that's really not the case.

38:35

>> So, last question, Elliot, if you

38:37

uh what would be your advice to young

38:38

people who would want to try to make

38:40

this a better place?

38:42

>> Well, that's a that's a very big

38:43

question. Um

38:45

I think they need to really consider

38:47

what they, you know, when they share

38:49

information, when they look at something

38:50

and they think maybe I should do that.

38:53

They need to think about what impact

38:54

that does have. It's it's like um I was

38:56

talking My daughter's 14 and a lot of

38:58

her friends use a lot of social media.

39:00

We really try and not to let her use

39:01

that much social media, but they'll

39:03

mimic trends they're seeing and some of

39:06

those trends are really about making

39:07

stuff up because it'll get engagement.

39:09

And it's kind of actually talking to

39:11

people about what impact that actually

39:13

has and that has a big impact on society

39:15

if everyone was just telling lies for

39:17

engagement. And that's, you know, just

39:18

the basics we need to start with. Yeah.

39:21

>> Right big great big thank you to you.

39:23

Thank you. Thanks for everything you're

39:24

doing.

39:25

And thank you.

39:27

>> [applause and music]

39:33

>> Yeah.

Interactive Summary

Eliot Higgins, founder of Bellingcat, discusses how open-source investigation uses publicly available information like social media, satellite imagery, and traffic data to uncover war crimes, chemical weapon attacks, and assassinations, exemplified by MH17, Skripal, and Navalny cases. He explains Bellingcat's evidence-first methodology, its community of volunteers, and the challenges posed by escalating Russian disinformation campaigns, including personal security threats. Higgins highlights the significant shift from a top-down information system to a peer-to-peer model that rewards engagement over truth, leading to "simulated democracy" and distrust. He touches on the evolving landscape of online data, the ethical considerations of data acquisition, and the limited but growing role of AI. Ultimately, Higgins maintains a "cynical optimist" view, emphasizing the importance of education and building critical thinking skills to counteract disinformation and strengthen democratic verification, deliberation, and accountability.

Suggested questions

9 ready-made prompts