Interesting. Google refers to Oracle's Datalogix, which sells consumer profiles based on purchase data from thousands of shops, as a "key external vendor".

From a job announcement for an "Insights Manager, Global Client & Agency Solution" at Google EMEA:
webcache.googleusercontent.com/search?q=cache… Image
It's interesting because I didn't often see Google naming Datalogix a partner/vendor in recent years.

In 2016, DoubleClick named Oracle Data Cloud an offline conversion partner:
doubleclick-advertisers.googleblog.com/2016/10/get-be…

In 2018 it was named a "Google Measurement Partner":
blogs.oracle.com/oracledataclou… ImageImage
In this list of "Ad Manager Certified External Vendors", Google names Datalogix a "data provider":
developers.google.com/third-party-ad…

In this newer list of "Ad technology providers", Google lists Oracle Data Cloud as a vendor who may serve and measure ads in EEA/UK:
support.google.com/admanager/answ… ImageImage
I have no way to see which third-party data providers supply/resell data via Google's adtech services.

But Oracle's BlueKai is one "example", according to the Google DV360 / Bid Manager API docs.

I think G should be obliged to disclose it all, at least.
developers.google.com/bid-manager/gu… Image
Also, Oracle's "Moat" is one of a few data companies integrated with Google's "Ads Data Hub", where Google's clients can join user data with Google data based on all kinds of individual-level identifiers in different ways.

developers.google.com/ads-data-hub/v… Image
Acquired by Oracle in 2017, Moat does not only provide ad fraud prevention, brand safety, verification and 'attention analytics', but also measures ad 'effectiveness' based on POS data, credit card data and location data.

POS data is basically Datalogix.
oracle.com/a/ocom/docs/mo… Image
Btw. In 2017, Google said it captures 70% of US credit/debit card transactions through third-party partners:
blog.google/products/marke…

@EPICprivacy filed an FTC complaint about Google's purchases tracking:
epic.org/2018/05/epic-r…

Google still refuses to disclose its data sources. Image

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More from @WolfieChristl

12 Mar
"Just as algorithms could be trained to predict who would click what ad, they could also be trained to predict who would like or share what post, and then give those posts more prominence"

#longread on the history of 'engagement' maximization at Facebook: technologyreview.com/2021/03/11/102…
"Teams had previously used design tactics, like experimenting with the content and frequency of notifications, to try to hook users more effectively. Their goal…was to increase a metric called L6/7, the fraction of people who logged in to Facebook six of the previous seven days"
After introducing ml-based optimization, "every user interaction once analyzed by engineers was being analyzed by algorithms. Those algorithms were creating ...more personalized feedback loops for tweaking and tailoring each user’s news feed to keep nudging up engagement numbers"
Read 5 tweets
11 Mar
Yes, much of today's surveillance-based advertising is something between an empty promise and a giant fraud.

But the fact that we're all getting badly targeted ads does not mean that it doesn't work, because this is how it is intended to work, if it does.
ft.com/content/b013d9…
It's a misunderstanding that surveillance advertising aims to accurately target everyone. If at all, it aims to accurately target a low percentage of addressed users in order to make them act how it wants them to act.

Spamming everyone else is always part of the calculation.
Much of the data is flawed or fraudulent in today's broken web economy, and many metrics, clicks and even users are fake.

At the same time, attempts to optimize behavior in digital environments based on mass profiling and testing can be successful and lead to many side effects.
Read 10 tweets
11 Mar
T-Mobile US says it will start selling web+device usage data to the digital profiling industry by default.

But don't worry it's not tied to your name but only to personal identifiers that are much more suitable to track and follow you everywhere anyway.
t-mobile.com/privacy-center… Image
Telecommunication services are basic digital infrastructure, and they should not be allowed to sell behavioral data at all.

It's bad enough if they trick people into 'opting in', selling it by default is beyond bad.

Such reckless and irresponsible business practices must end.
Also, T-Mobile US owns PushSpring, a consumer data broker that trades in extensive mobile data on hundreds of millions of people without their knowledge.
Read 12 tweets
10 Mar
Diving into UEBA systems that large corporations use to protect themselves from cyber attacks, espionage, noncompliance, fraud, 'insider' threats and other risks ...I feel like this is a kind of totalitarian surveillance hellscape we'd never accept in any other area of life.
"A Watch List is used to monitor entities ...that are considered problematic or require special attention"

"...users who have received a poor performance review can be placed on a Watch List so that their activity can be closely monitored" #cybersecurity

documentation.securonix.com/onlinedoc/Cont… Image
An "abnormal number of logon failures", a "rare domain visited" or "flight risk behavior on web browsing to multiple job sites in a short period of time" ...put this employee on the Watch List #cybersecurity

In 'Spotter'. The product is called "SNIPR".

(p378) Image
Read 4 tweets
1 Mar
Samsung's stock health app now showing ads on a friend's Samsung S9 phone, which he bought for hundreds of €.
'Receive marketing information' in the device/privacy settings turned off.
I wonder what kinds of personal data Samsung health app processes/transmits for purposes other than providing health/fitness functionalities.

According to Exodus, the app version installed on the device has Google stuff embedded, as well as AutoNavi/Amap.
reports.exodus-privacy.eu.org/en/reports/166…
Read 12 tweets
27 Feb
Do I get this right that the current state of Google et al's TURTLEDOVE/FLEDGE proposal would lead to browsers putting users into myriads of 'interest groups', still allowing advertisers, publishers and third-party adtech companies to almost act 1:1 on specific user behavior?
...as long as 100 users behave similarly, which is not a really tough restriction. Almost no remarketing/etc campaign addresses less than 100 potential targets.

Fledge:
github.com/WICG/turtledov…

Turtledove:
github.com/WICG/turtledov…
I didn't have the time to follow the developments :/

Generally, I feel like Google and a few other players are working on this fundamental effort to preserve/perpetuate a web economy based on behavioral advertising without any relevant participation of non-industry stakeholders.
Read 12 tweets

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