Wolfie Christl Profile picture
Jan 27, 2022 41 tweets 16 min read Read on X
The online gambling industry can exploit data in the most harmful way, by monitoring and manipulating the behaviours of vulnerable people.

🆕 We examined how a major UK gambling firm tracks and profiles players, and how it shares sensitive data with many other data companies ⬇️ Image
We've been working on it for more than a year, probably the most detailed investigation into data flows in the online gambling industry to date, commissioned by @cleanupgambling

You can download our report (plus a technical report) here, published today:
cleanupgambling.com/news/cracked-l… Image
"A major betting company harvested troves of data from a suicidal gambling addict to target his weaknesses and predict his losses ... [and] to groom the high-value gambler that they wanted to win back"

The Daily Mail's story about it:
thisismoney.co.uk/money/markets/…
Based on GDPR access requests, we found that Signal, a company owned by the credit reporting giant TransUnion, collected up to 186 profile attributes on Data Subject 1, a person who has been an extensive SBG user for years.

Data Subject 1, or Michael in the Daily Mail's article. Image
Signal recorded how often he opened emails from Sky Betting and Gaming, identified him as 'positively influenced by promotions', calculated his 'customer value' for different gambling products, and predicted how much the company can spend to 'win him back' and 'grow' his account. Image
Who else does Sky Betting and Gaming (SBG) share data with? To find out, we assisted another person (Data Subject 2) with observing data processing in the web browser.

Only 37 visits to SBG websites led to 2154 data transmissions to 83 domains controlled by 44 third-party firms. Image
During visits to Sky Betting and Gaming's skycasino.com, the website transmitted extensive data on gambling activities and behaviours to several third-party companies, including Facebook, Google, Microsoft, Adobe, MediaMath and Iovation, another TransUnion subsidiary. Image
For most of these firms, we don't know whether they created profiles or used them to influence gamblers. Without technical testing, we wouldn't even know that they received data. Much of this data processing was not disclosed to Data Subject 2 when they sent GDPR access requests.
Taken together:

- The online gambling industry processes vast quantities of personal data of a highly sensitive nature
- It is not even transparent about it
- Profiles include indicators of vulnerability and addictive behaviours, which can be used to target the most vulnerable
Two TransUnion subsidiaries play a major role:

- Signal, a marketing surveillance firm that claims to receive billions of 'signals' on activities every day
- Iovation, a risk surveillance firm that claims to track 7bn consumer devices globally to verify identity and detect fraud ImageImage
While Signal helps to profile players to 'grow' their value, Iovation tracks players (and people across the planet) to decide whether they are risks.

Iovation's gambling products also promise to 'identify VIPs' and to 'promote responsible gambling'.
web.archive.org/web/2021012402… Image
Many other companies received extensive data.

During visits to skycasino.com, a server that appears to be operated by both Adobe and Sky UK received behavioural data about the pages visited, games played, cash deposits and about every step taken during registration. Image
While we observed these personal data transmissions when Data Subject 2 visited SBG websites, neither Adobe, Sky UK nor SBG provided any relevant information about it.

Btw Only few people outside the industry know that Adobe, the Photoshop company, is also a massive data broker. Image
When Data Subject 2 registered as a customer at Sky Casino and made their first £30 deposit, the website immediately informed Facebook, Google and Microsoft about this fact, including the amount deposited.

Facebook and Google received data on almost every click. Image
While we observed personal data transmissions to Facebook, Google and Microsoft when Data Subject 2 visited the Sky Casino website, SBG did not provide information about it when Data Subject 2 asked SBG to provide access to the data it processes under the GDPR.
Did FB, Google or Microsoft use the data transmitted to them for profiling or to target gamblers? Did SBG or other parties make use of the data sent to those parties in any way?

We don't know.

Without technical testing, we wouldn't even know that they received personal data.
Btw. My organization Cracked Labs worked on this investigation together with @A__W______O /@RaviNa1k

To examine the data practices of SBG and its data partners, we went deep down the rabbit hole of how today's data industry processes, exchanges and exploits personal information:
@A__W______O @RaviNa1k We observed that several third-party data firms *received* the same personal IDs referring to Data Subject 2 during visits to different websites.

In that way, Signal, Iovation, Adobe, Facebook, Google, Microsoft and other companies can track and profile users across websites. Image
@A__W______O @RaviNa1k We observed that some third-party firms also *stored* such IDs in the user's browser during visits to the Sky Casino website.

As third-party firms can later receive the stored IDs when the user visits a different site, SBG may *facilitate* cross-site tracking by third parties. Image
Here's another company that received extensive data during visits to the gambling site skycasino.com including on the pages visited, games played, deposits, withdrawals, logins…

MediaMath, unknown to most people, claims to have data on 'more than a billion consumers'. Image
On top of that, MediaMath initiated personal data processing by a number of YET OTHER digital advertising firms and data brokers during visits to skycasino.com, including Salesforce, Oracle, Tapad/Experian, LiveRamp, Zeotap, AdForm, TTD, FreeWheel/Comcast, Pubmatic... Image
What the industry often refers to as 'cookie syncing' is actually massive personal data processing across many companies.

The result?
- These firms gained the capability to better track Data Subject 2 across the web
- Most of them learned that the person visited a gambling site Image
During visits to the Sky Casino website, SBG directly or indirectly *initiated* personal data processing by MediaMath, who sent personal data to many other digital advertising firms and data brokers, and directly or indirectly initiated further personal data processing by them.
I guess rarely anyone has ever examined personal data sharing during a few 'cookie syncs' at that level of detail, and probably rarely anyone has ever examined what happens during just 37 website visits at that level of detail 🤖

129page technical report:
cdn.sanity.io/files/btrsclf0…
The technical report contains details about the tests and observations of personal data flows in the web browser, and a summary of GDPR access requests that Data Subject 1+2 sent to the companies & their responses.

Data Subject 1 spent years (!) to get at least some information. ImageImage
The main report contains an exec summary, an overview of data exploitation in the gambling industry, an overview of the marketing+risk surveillance industry, a brief explainer on how digital tracking on the web works, and of course, all the actual findings
cdn.sanity.io/files/btrsclf0… Image
Yes, many businesses harvest extensive personal data on behaviours and constantly share it with companies most people never heard of.

It's bad when retailers, travel sites or news publishers do so. It's disastrous when gambling firms use it to profile+target the most vulnerable.
The gambling industry has long been exploiting data on players to influence their behaviour, get them to spend more and make them return more often.

Decades ago, casinos started to use data and statistical models to score players and to create 'behavioural modification reports'. Image
Casinos use a wide range of personalised promotions and incentives to induce behavioral change, including free food, drinks, hotel stays, and most important, bonuses and 'free' bets/plays.

For some players, they spend thousands of dollars, because they know they are 'worth' it. Image
They send hundreds of millions of tailored email messages, and they tried to make losing a 'good experience' by calculating personalised 'pain points' that indicated how much someone can lose while still being satisfied. When a person approached this pain point, they got rewards. Image
The gambling industry has pioneered what has become routine in today's digital economy: data-driven behavioural experiments on people.

A mathematician and former consultant at Booz Allen who became chief marketing officer of a large casino firm called it 'Pavlovian marketing'. Image
In addition to profiling for marketing and behavioural change, casinos always operated systems to monitor, identify and single out suspicious players, rarely to protect them. Instead, 'fraud prevention' meant banning players who managed to exploit the casino's marketing programs. Image
The above paras are taken from section 2.1 in our report, which largely relies on the books "What Stays in Vegas" by Adam Tanner and "Addiction by Design: Machine Gambling in Las Vegas" by Natasha Dow Schüll, both highly recommended.

Dow Schüll also points to in-game bonus pots. Image
This is the context when we discuss targeted messaging or ads in gambling.

A UK House of Lords report found the "gambling industry spends £1.5 billion a year on advertising, and 60% of its profits come from the 5% who are already problem gamblers, or are at risk of becoming so".
Now what about online gambling?

It's clear that personal data collection and personalised manipulation based on profiling and experiments became even more pervasive. Almost anything described above can be applied in online gambling, only much easier, at greater speed and scale.
However, little is still known about how data is actually collected, shared and utilised by gambling/betting sites. This is why we started this investigation.

It was incredibly difficult to find out how they collect and share data. We still don't know much about how they use it.
Data Subject 1 has been an extensive user for a decade and lost a huge amount of money.

SBG recorded data on 1359 deposits/withdrawals, 5717 games played, 44063 bets and 826 'free' bets.

His Signal profile estimated he spent only 10% of the money he spends for gambling at SBG. Image
How did they decide what kinds of free bets he got?

How did they message/target him based on the Signal profile data he received upon his GDPR access request?

Most likely, his Signal profile was constantly updated over the years. How did it look like at earlier points in time?
According to responses to GDPR access requests, Signal put both data subjects into groups that appear to refer to digital marketing experiments on the web and on social media.

How did SBG, Sky UK, Signal, MediaMath, FB or others use this profile data for targeting or messaging? Image
And how did these companies use the detailed data on gambling behaviours they received?

There are many open questions.

I hope our findings will have consequences, they should have. They should have consequences for SBG, and for the data industry at large.

Enough for today 🤖 Image
Based on my investigation of how the UK gambling firm Skybet/SBG exploits personal data on players, Clean Up Gambling and AWO made a submission to the UK's data watchdog ICO, which started an investigation.

Submission:
cdn.sanity.io/files/btrsclf0…

FT article:

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More from @WolfieChristl

Feb 29
Some more findings from our investigation of LiveRamp's ID graph system (), which maintains identity records about entire populations in many countries, including name, address, email and phone, and aims to link these records with all kinds of digital IDs:crackedlabs.org/en/identity-su…
Identity data might seem boring, but if a company knows all kinds of identifying info about everyone, from home address to email to device IDs, it is in a powerful position to recognize persons and link profile data scattered across many databases, and this is what LiveRamp does.
LiveRamp aims to provide clients with the ability to recognize a person who left some digital trace in one context as the same person who later left some trace elsewhere.

It has built a sophisticated system to do this, no matter how comprehensive it can recognize the person.
Read 12 tweets
Nov 14, 2023
As part of our new report on RTB as a security threat and previously unreported, we reveal 'Patternz', a private mass surveillance system that harvests digital advertising data on behalf of 'national security agencies'.

5 billion user profiles, data from 87 adtech firms. Thread: Image
'Patternz' in the report by @johnnyryan and me published today:


Patternz is operated by a company based in Israel and/or Singapore. I came across it some time ago, received internal docs. Two docs are available online.

Some more details in this thread. iccl.ie/wp-content/upl…
Image
Here's how Patternz can be used to track and profile individuals, their location history, home address, interests, information about 'people nearby', 'co-workers' and even 'family members', according to information available online:

isasecurity.org/patternz
web.archive.org/web/2021062210…
Image
Read 30 tweets
Nov 6, 2023
, a 'social risk intelligence platform' that provides digital profiles about named individuals regarding financial strain, food insecurity, housing instability etc for healthcare purposes.

Incredibly intrusive, horrifying that this can exist in the US. sociallydetermined.com
Image
"It calculates risk scores for each risk domain for each person", according to the promotional video, and offers "clarity and granularity for the entire US".

Not redlining, though. They color it green. Image
Making decisions based on these metrics about individuals and groups seems to be highly questionable and irresponsible bs.

Safegraph, a shady location data firm, is among the data providers:
safegraph.com/customers/soci…
Read 6 tweets
Oct 16, 2023
Bazze, a US data broker that purchases smartphone location data from mobile apps and advertising firms, and sells to the US Dept of Defense, according to the WSJ (), openly promotes a commercial location mass surveillance system for 'government customers'. wsj.com/tech/cybersecu…
Image
I extracted information about mobile location data they claim to sell per country from their website:


Japan: 920m records, 5.5m devices
Brazil: 370m records, 6.3m devices
Australia: 280m records, 1.7m devices

...and data on people in 200 other countries. bazze.io/cdi
Image
explains that it does not 'collect or sell data from individuals within the United States, Canada, and European Economic Area countries'.

So, global commercial location data except US/Canada/Europe, for national security (and finance, as a side business). bazze.io

Image
Image
Read 19 tweets
Oct 13, 2023
New WSJ report found that 'Near', a consumer data broker based in India, Singapore and the US with an office in France, obtained massive location data via digital advertising firms like OpenX, Smaato and AdColony and sold it to US defense/intel agencies:
wsj.com/tech/cybersecu…
Image
Near's general counsel and chief privacy officer:

The US govt "gets our illegal EU data twice per day", a "massive illegal data dump".

"We sell geolocation data for which we do not have consent to do so", "we sell data outside the EU for which we do not have consent to do so" Image
If this isn't reason for EU data protection authorities to take urgent action than I don't know what is.
Read 18 tweets
Sep 22, 2023
Yesterday, I published a case study that examines enterprise software for process mining, workflow automation and algorithmic management.

I identified a list of mechanisms that involve personal data processing and can affect workers individually (right) or collectively (center). Image
I guess rarely anyone has ever examined this kind of software at such a level of detail, from a worker perspective.

The case study explores how employers can exploit worker data based on enterprise software docs. The chart is an excerpt from section 7:
crackedlabs.org/en/data-work/p…
The case study is largely based on an analysis of enterprise software docs from a single vendor and its partners, which has its limitations. It's the third in a series of case studies, which are part of a larger project that aims to map how employers use personal data on workers.
Read 10 tweets

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