How Governments Spy On Protestors—And How To Avoid It
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Director: Efrat Kashai
Director of Photography: Brad Wickham
Editor: Matthew Colby
Host: Andrew Couts
Guest: Lily Newman
Line Producer: Joseph Buscemi
Associate Producer: Paul Gulyas
Production Manager: Peter Brunette
Production Coordinator: Rhyan Lark
Camera Operator: Mar Alfonso
Gaffer: Niklas Moller
Sound Mixer: Sean Paulsen
Production Assistant: Malaia Simms
Post Production Supervisor: Christian Olguin
Supervising Editor: Erica DeLeo
Assistant Editor: Justin Symonds
Released on 04/16/2025
Protests, almost by definition, are points of contention
between citizens and their governments.
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Police tracking of protestors is multifaceted
and includes a variety of tactics
and gear that generate different data.
Some surveillance is done at the protests,
while other methods are used outside of it.
It's just like all different ways
to get at this core thing of who was there,
what are they up to, what do they think about things?
I think that's sort of how I break it down
because so many of these technologies
are unseen or not intuitive.
In this episode,
we'll discuss the technologies used by law enforcement
that put citizens' privacy at risk.
This is Incognito Mode.
[moody music]
The movies were way ahead on this, right?
Like they were depicting, it's like the yellow box
that goes around the face type of thing.
Now, that is very real.
This technology is more and more available
to law enforcement.
Although law enforcement have had access
to facial recognition tools for about 20 years,
they previously were only able
to search government images such as mugshots.
This changed in 2018 when many police departments
started using Clearview AI, a facial recognition app
that allows them to match photos from around the web.
Once a photo is uploaded,
the app pulls up matches found online
along with links to the source of those photos.
than 600 law enforcement agencies across the country
use this software.
Based on the person's facial geometry,
the images are converted by the system
into a formula measuring things like eye distance.
This means that law enforcement can use any image
to search for a person
who doesn't currently have a police record
and isn't known to authorities,
and potentially identify them in seconds.
I wanted to ask you, since you've covered this a lot,
how do you view the risk of these platforms
as they proliferate?
To be quite frank, it freaks me the hell out.
Image recognition is just really, really good now
and cheaper to deploy
and so you know, I think it's more just kind of accepting
that this is just part of life.
Like just commuting every day,
you're probably being subjected
to some of these systems in one form or another.
It's not just the systems where you have face rec built in.
It can be deployed after the fact
if you're in people's pictures
that are posted on social media,
it can get uploaded to these systems
and then you can get picked out of a crowd in that way.
[Rioters] USA! USA!
We saw that with, you know,
the January 6th Insurrection videos
that were posted to Parler and other social media platforms.
[Newsreader] News tonight, an Auburn man
has been found guilty of federal charges
for his actions during the January 6th insurrection.
You know, the FBI took those,
they saw people in the videos,
they went back and and kind of looked to see
like, Okay, here's proof you were there.
Governments in 78 countries
use public facial recognition systems
with varying degrees of support from their citizens.
Many countries use the technology
without transparent regulations.
In Russia, facial recognition tools have been used
not only to detain people protesting the war in Ukraine,
but also to identify and arrest opponents of the government
before they joined any demonstrations.
Reuters reported that the facial recognition systems
used in Moscow are powered by Western companies
including NVIDIA and Intel.
Other companies such as Amazon have also launched software
that allows users to build a facial recognition database
using their own photos.
These systems, they're everywhere
and things that you might think
could kind of thwart these systems,
even like wearing a mask and these kinds of things,
some of the technologies can get around that.
I don't know what to do with that information to be honest.
There are a lot of police here. Are you not frightened?
We are, but you know, we are together.
That gives a real power.
I am frightened. Of course I'm frightened.
That's why I'm just covering up all my face
just so that they cannot even, you know, find my ID,
but me being afraid doesn't mean
that I'm not going to be here today and fight for my future.
I agree 100% with what you were saying
about how masks and other deterrent measures
aren't always effective
at defeating these identification technologies.
But clearly they are at least somewhat effective sometimes
because you know, in a lot of crackdowns
we've seen in the last few years by multiple governments,
like one thing they'll do
is try to ban mask wearing in certain settings.
Yeah, are there any other things,
please tell me that you have more.
Yeah, I mean I think there are ways to minimize the data
and thus minimize the risks.
Just simple things like not shooting pictures
and videos while you're at a protest
so you're not capturing yourself
and anybody else who's around you
is one way to keep it out of some types of systems.
Avoiding some systems is better than avoiding no systems.
You are going to be subjected to this technology
in one way or the other
and you just kind of have to proceed as best you can
and minimize your contributions to those systems
as much as as possible.
CCTVs or security cameras
have been ubiquitous for a few decades now.
One could have thought 20 or 30 years ago,
like, Well now everything is going
to be captured on film all the time.
But there are limitations still
to just how much data is stored, for how long.
You know, there've been a lot of high-profile events
around the world in recent years
where there wasn't adequate security footage
to really know what had happened.
It's not like every step you take,
someone is paying to run the system
and store the data to identify you.
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In 2010, Wired reported on federal agents
friending crime suspects on sites like MySpace
in order to see their photos, communications,
and personal relationships.
More recently, police have used companies like Dataminr
to more easily sift through massive amounts of data
in order to glean information
about how protests are organized,
to identify activists,
and to piece together people's connections to each other.
So social media accounts, right?
It's a lot of data on everyone who's using these platforms.
But I kind of think of these surveillance technologies
in two buckets.
One would be if authorities want
to find out more about a specific person, right?
What has Andrew been posting about or saying
and are there photos you know, of Andrew online?
Things like that.
But then the other one would be coming at it the flipped
where it's like they're looking
for anyone who has been talking about X thing,
or you know, anyone marking their location
in a certain place on a certain day.
Authorities can go directly to the sites
or they might wanna use a service
that kind of pulls a ton of data
from social platforms together, you know,
aggregates all of it and getting kind of lists of names.
It gives the ability to like have this vibe check.
Like those platforms themselves
aren't inherently a surveillance tool, right?
Sometimes we use them for journalism.
I've used some of these services like Dataminr before
and once you see just the fire hose of information
that you can get access to when you use it,
it's becomes clear just how easy it is
to kind of figure out what is going on.
Even if it's not obvious to you
in your own like curated timeline.
Just the use of them has become more widespread.
You wouldn't know without doing some investigating,
Definitely my local police department
is using this or not.
That creates an environment
where you have to assume that that's what's happening.
Steps like making your account private
or setting something to expire quickly.
Maybe they can help.
But I wouldn't assume those types of settings
can really truly protect data on big mainstream platforms.
An example of how social media surveillance was used
can be found through the MPD surveillance
of the George Floyd protests in 2020.
It was found that the MPD collected data
about protest events including dates, locations, organizers,
and estimated crowd sizes.
The MPD shared this information with the Secret Service,
National Park Service, and the Department of Defense.
So I think the other huge advice
is about data minimization
and not posting about things
that you worry about getting into other people's hands.
There's a tension here with chilling speech, right?
The nature of the internet is to share information, right?
That's like the whole purpose of the platform.
When you put stuff out there, it's hard to say like,
Okay, it's out there
but only for certain people, and control it.
Our perspective on it is probably a little bit different
because we're journalists,
we're kind of in the public eye
in a way that some other people aren't,
but I think anybody,
no matter if you have one follower or a million,
you should be really careful
about what you post online and when you post it online.
You know, if you're gonna post vacation pictures,
I never post them while I'm actually on vacation.
Because then that signal to somebody like,
Hey, my house is empty.
You can apply that to all different types of risks
and I think generally posting less is the way to go.
But also some people really wanna post
or that's their like job,
or you know, that's how they make money.
It's just helpful to understand
that the greater volume you're posting,
the more there could be things you didn't think of
that's exposing information
that you didn't realize is now out there.
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IMSI catchers, also known as cell site simulators
and formerly referred to as StingRays,
are devices that impersonate cell towers
causing cell phones within a certain radius
to connect to them.
Initially designed for military
and national security purposes,
this technology has emerged in routine police use.
Until recently, the use of IMSI catchers
was withheld from the public.
The FBI has even forced state and local police agencies
to sign NDAs in order to use their devices.
I mean, I find IMSI catchers fascinating
just in that their use is really secretive,
like there was a long time
that police weren't allowed to say that they had them
or that they were using them,
so there's just- And no one had seen one.
Right. Yeah, exactly.
Can you tell us just a little bit about how that works?
These are devices that, at its core,
just identify that your phone
was physically in a certain location,
like that's the baseline thing it's trying to achieve.
Sometimes called an IMSI catcher
because of this IMSI number that it's trying to pick up.
They can work in different ways,
they can work passively to just sort of sweep around
and say what devices are in the area
and let me try to, you know, decrypt their signal
and catch that you know, an ID number.
More often, they work actively as like a fake cell tower,
taking advantage of the way the system works,
that your phone is going to connect to the cell tower
that's emitting the strongest signal in the area
to give you the best service and then grab that ID number.
Sometimes they can also
potentially grab other stuff
like unencrypted communications, like SMS text messages.
It's important to know that one of the things
that can happen when you bring a phone
to an event like a protest
is that the fact that you were there
and potentially some other information
could be sort of pulled out of the air
by one of these devices.
Records show that IMSI catchers are used
by 23 states and the District of Columbia,
the DEA, ICE, FBI, NSA, and DHS,
along with many additional agencies.
In terms of how people gauge the risk of these,
I mean for one thing, like you said,
a lot of times they're looking
to target one person or maybe a couple of people
and it does end up looping in a lot of people
just by the nature of how it works.
But it's also one that I think
is expensive and complicated to deploy
and so it's probably not gonna be the top concern.
If I were going to a protest,
I don't think it's the thing I would be so concerned about,
just as an average person.
Another thing in that vein,
you know, if this technology that we're talking about
is rogue cell towers,
it means that actual cell towers
also have all this information, right?
Like your wireless provider knows where you go.
So that data exists anyway
and there are potentially other ways
that, you know, authorities can get that information.
[brooding music]
Geofence warrants, or reverse location warrants,
allow law enforcement to request location data from apps
or tech companies like Google or Apple
for all devices in a specific area during a set time.
Authorities can then track locations,
identify users and collect additional data
like social media accounts.
This is yet another layer in this multiple approaches
to getting the same information:
who was at a certain place at a certain time
and what can we find out about what they were up to?
A lot of it's advertising data
or what's being shared all the time from your device
that you probably aren't paying much attention to
and is used in a much more innocuous way typically.
And it's sort of slurping up all the data from this area,
which is constrained in a way
but doesn't account for passersby,
people, you know, getting coffee at the deli next door,
people just sort of coming up to a location
to see what's going on.
Like this is just bulk indiscriminate data.
I am worried about it, but maybe not specifically.
Like it's in the category to me of all the reasons
that I might consider leaving a device at home
or putting it in a Faraday bag.
It's sort of just on that list of reasons
that you might wanna minimize the data
that your device is emitting.
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Data brokers collect and sell personal data
from public sources, websites,
and apps people use every day.
They aggregate all this info
to build detailed profiles of people
and to group them into simplified categories
such as high income, new moms, pet owners,
impulse buyers, and more.
While advertisers are usually their primary clients,
police can also purchase this data.
Some of the largest data broker companies
include Experian, Acxiom, and Equifax.
The amount of data Equifax collected came to light
in 2017 when a data breach
exposed 147 million people's personal data.
I think it just fuels this ability
to identify someone
and track kind of their behavior across the web
and potentially their speech.
Similar to the way law enforcement can track people
and surveil people through social media platforms,
information from data brokers
can aid investigations in two ways.
They can be coming at it from a person of interest
who they're trying to find out more about
or authorities can be coming at it from,
I want information on anyone
who has had an IP address in this area
or anyone who has keyword searched, you know,
and been shown these types of ads.
So how do data brokers collect information?
The most common ways include web browsing history,
everything from your Google searches,
sites or apps you visit, cookies, social media activity,
or even a quiz you just filled out for fun.
All of that can be scraped and tracked.
This data creates each person's online history map,
which in turn allows brokers
to build a profile on each user.
The data that companies collect often include:
name, address, phone number and email address,
date of birth, gender, marital and family status,
social security number, education, profession,
income level, cars and real estate you own.
It also comes from public sources.
This can be anything in the public domain
such as: birth certificates, drivers or marriage licenses,
court or bankruptcy records,
DMV records and voter registration information.
It can also include commercial sources
such as: your purchase history, loyalty cards,
coupon use, and so forth.
And finally, some websites or programs will ask
for your consent to share your data.
Sometimes it's anonymized in certain ways,
especially when it comes to advertising data,
but it's pretty trivial for law enforcement
or other investigators to tie certain advertising behavior
to a specific device,
especially if it's collecting precise location data
and there's also data brokers
that are building network profiles
so you can not just get information about yourself,
but everybody you've interacted with,
whether it's on social media or actually in real life.
In the United States at least,
we just lack laws that kind of regulate
what these companies are able to collect.
And if you have to participate in modern society,
as nearly everyone does,
it's almost impossible to avoid.
I think in the context of protests,
it's not an acute concern I would say,
but it is generally speaking really freaky
when the sky's the limit on what they could potentially use
because there's just so much data.
I agree with what you said,
sort of low on the acute scale,
but high on the existential scale.
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One of the big surveillance technologies
that probably everyone who's driven on a highway knows about
is license plate readers.
Really just capturing what your license plate is
and showing that your vehicle was
at a certain place at a certain time.
Similar to like your phone,
your car, it's a proxy for you.
Maybe you were in the car, maybe you weren't,
but that's where your car went.
There are three types of ALPR systems:
stationary or fixed ALPR cameras,
which are installed in a fixed location
like a traffic light, telephone pole or a freeway exit ramp.
The second type are mobile ALPR cameras,
which are attached to police patrol cars,
garbage trucks, and other vehicles,
and allow them to capture data from license plates
as they drive around the city.
They can also assist law enforcement in gridding,
which is when police officers
drive up and down a neighborhood
collecting license plates of all parked cars.
There are also private vendors like Vigilant Solutions,
which collect license plate data
and sell that back to police.
The third type are ALPR trailers,
which are trailers police can tow to a particular area
and leave for extended periods of time.
It's been reported that the DE has disguised ALPR trailers
as speed enforcement vehicles
and placed them along the US-Mexico border.
The things I'm concerned about aren't necessarily even
it being used for license plates.
Our colleague, Dhruv Mehrotra has done some reporting
showing that license plates readers
can also capture any words that are visible,
so that can be what's on your t-shirt,
that could be political signs in your yard.
This technology may be able to be used
in ways that we're not even familiar with or would imagine.
You know, a lot of times when we're talking about
any surveillance technologies,
it's really about creating data that then is there
and could potentially be used
in any number of ways at any point in the future
depending on who gets access to it
and what they want to do with it.
[moody music]
The key thing here is that these drones,
even small quadcopters,
like what we think of as consumer drones,
they can carry a fair amount of cargo, meaning like cameras.
There are a number of different drones
used by law enforcement varying in size and ability.
For example, some drones have thermal imaging capabilities
for night operations
while others specialize in long periods of surveillance.
Protestors have in the past reported drones flying overhead,
for example in Minneapolis during the George Floyd protests.
Police and government drones usually fly
in the range of 11,200 feet above the ground.
However, it's been reported that the drone used
to surveil protests in Minneapolis in 2020
flew at 20,000 feet,
nearly invisible to protestors on the ground.
This was a Customs and Border Protection drone,
which are often equipped with advanced cameras, radar,
and potential cell phone geolocation tools.
In terms of how freaked out are you about drones,
how do you think about that?
Yeah, I would say fairly freaked out.
But again, like you were saying
about the layering of these technologies,
I think it's not the drones themselves,
it's everything they can do and how cheap they are
and how easy it would be to deploy even more of this tech.
When we talk about sort of evolution
of different technologies,
this capability is sort of similar to police helicopters
and now it's just cheaper, lighter, easier.
Even these sort of benign-seeming quadcopters
that we see around all the time
could be carrying equipment on them
to do like very granular, detailed surveillance
of something like a protest.
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There are some technologies that are really just emerging
and we don't even know if they've been used at protests
or even used by authorities in the United States.
Right, and your face isn't the only thing
sort of outside your body that can potentially identify you.
For example, analyzing your gait, like how you walk.
Gait recognition technology can identify individuals
by analyzing their unique walking patterns
using machine learning.
It captures movements
through cameras, motion sensors, or even radar.
It then processes this information,
breaking it down into contours, silhouettes,
and other distinguishing features.
It offers high accuracy,
but its effectiveness can be influenced
by things like injuries
or the types of terrain the subject is traversing.
This tech is especially useful for authorities
when people's faces are obscured.
While there haven't been any reports
of widespread use of this tech
by law enforcement agencies in the US,
Chinese authorities have been utilizing it
on the streets of Shanghai and Beijing since at least 2018.
In recent years, there have also been a number of companies
working on creating emotional detection technology
where AI uses biometric data
to determine a person's emotional state
and the likelihood they will become violent
or cause a disturbance.
Wired reporting found that Amazon-powered cameras
have been scanning passengers faces
in eight train stations in the UK
to trial this new technology.
The trials were testing the system
for age and gender recognition
as well as the emotional state of the person on camera.
While there's no current documentation
of this tech being used at protests,
the BBC reported that emotional-detection tech
has been used on Uyghurs in China.
Some of these could be really invasive
because you know, reading your emotions,
there start to be maybe inferences
that someone could make
about how you were feeling in a certain moment
that may or may not be accurate, right?
Because it's sort of being taken out of context.
So it's difficult to have an algorithm
just sort of come to one conclusion.
Like sometimes I think you're doing your angry walk
coming over when I haven't filed my story,
but really then you're really nice about it
and you're like, It's okay Lily, you can do it.
And you know, I took it totally the wrong way.
But potentially there are more sort of
in terms of just identifying someone in a certain place.
It is scary that there's something characteristic
about your walk.
They're not saying, Oh, it's Andrew's angry walk,
but they're saying, Oh, that's Andrew.
Certainly creating more systems that are replicating
what other things like facial recognition do
and applying it in to other biometrics of a person.
That definitely is gonna create all the same concerns
as we've seen with these other technologies
that were emerging, you know, years or decades ago.
But now it's your entire body, how you walk,
and like you mentioned,
like if we're having computers analyze
like how I'm feeling in a certain moment,
effectively establishing intent
of whatever my actions are in that moment,
that gets really scary
because it might be completely inaccurate.
Every time there's one of these new AI technologies,
there's always some bias built in.
There are gonna be people
who suffer consequences unnecessarily
because these systems are deployed
without being fully debugged.
Experts in the AI field have previously noted
that emotional-detection tech is unreliable, immature,
and some even call for the technology
to be banned altogether.
[subdued music]
Here are a few simple and effective ways
to protect yourself and your personal information
at a protest.
First, if you can, leave your phone at home,
I know this might sound drastic,
but the most effective way
to ensure that your personal data isn't compromised
and that your phone won't fall
in the hands of law enforcement
is by not having it with you.
If that's not an option,
you can put your phone in a Faraday bag
so data can't be accessed.
You should also turn off biometrics on your
like facial recognition or fingerprint scanner,
meaning you'll need a code to access it.
That way your face or fingerprints
can't be forcefully used
to access your personal information.
You can always say, You just don't remember the code.
Don't unlock it.
Another thing to keep in mind is posting on social media.
Jay Stanley, a senior policy analyst at the ACLU says,
if you post something online,
you should do so under the assumption
that it might be viewed by law enforcement.
You should always check your sharing settings
and make sure you know what posts are public.
Try to minimize the amount of other people's faces
you capture in your photos or videos,
use end-to-end encrypted messaging services
like Signal when possible,
wear a mask in case photos or videos are taken,
and finally, know your personal risks.
Is your immigration status exposing you
to additional dangers?
Are you part of a minority group
that is more likely to be targeted by law enforcement?
Keeping these things in mind
for yourself and your loved ones
when deciding if you should go out to a protest.
For more information about surveillance at protests,
check out wired.com.
This was Incognito Mode. Until next time.
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