Apple is being dragged into court over two separate class-action lawsuits filed last week. Both accuse Apple of violating the privacy of iPhone users. So why should Google care more about the suits than Apple?
One lawsuit, led by L.A. resident Jonathan Lalo, claims that Apple and at least eight app companies, including Room Candy Games, the company that makes Pimple Popper Lite — no, I’m not making this up — Pandora, Dictionary.com, the Weather Channel, Backflip Studios (Paper Toss), GOGII (TextPlus4), Outfit7 (Talking Tom Cat) and Sunstorm Interactive (Pumpkin Maker) are engaging in “privacy violations and unfair business practices.”
The second suit is led by three Texas men and one woman from California. In that suit, the plaintiffs claim that “personal, private information was obtained without their knowledge or consent … their personal property — their computer — was hijacked by Defendants and turned into a device capable of spying on their every online move.”
In a nutshell, both suits claim that apps can personally identify each user through a combination of each phone’s Unique Device ID (UDID) which cannot be changed, plus other data harvested from user activity.
“Class action” status means that more plaintiffs — theoretically any iPhone user — could get in on the suit, and more app developers could be added. Plaintiffs want both money and to punish Apple with fines.
The lawsuits come in the wake of a Wall Street Journal expose that detailed data collection by both Android and iPhone apps, data that was allegedly sent to advertisers. The lawsuits would probably not have happened without the Journal article raising the issue.
Apple is not being accused of gathering user data and passing it along to advertisers. In fact, such data collection without users’ consent is a violation of Apple’s privacy policy. Instead, Apple is accused of allowing the violation of its own policy.
And the data itself is not easily tracked back to individual users. While some data is collectable by some apps in an “anonymized” form, researchers have shown that it can often be “de-anonymized.” The theoretical risk is that app developers can divine political affiliation, sexual orientation, book purchases and the like, and associate that with a specific person and iPhone.
Such data collection is useful for monitoring user trends, and serving up relevant advertising, and that is the stated purpose. But it’s also potentially usable for all sorts of wicked schemes, from Big Brother monitoring of citizens to blackmail to the most likely, which is the sale of that information to third parties.
The fact is that acceptable policies and procedures — just how far cell phone companies, carriers, platform vendors and app developers can go in the collection and use of user data — has not yet been established. It will be established by lawsuits, such as the ones now confronting Apple.
Both Google and Apple seek to collect data to improve apps and advertising. While the Journal found that “among the apps tested, the iPhone apps transmitted more data than the apps on phones using Google Inc.’s Android operating system.” But it’s not clear if testing a different suite of apps would have produced a different result.
What is clear is that data collection is far more important to Google than it is to Apple.
Apple makes the vast majority of its revenue from the sale of actual physical handsets, and also from apps — developers who charge for apps must hand over about a third of that revenue to Apple.
A small but presumably growing percentage of iPhone revenue comes from advertising, specifically contextual advertising that requires user data.
But for Google, that’s the entire business model.
Google is an advertising company. It makes zero from handsets. The company instead plans to continue giving away the OS and its phone-accessible cloud services in order to lure in users who will be targeted by increasingly contextual advertising.
The “context” in “contextual advertising” comes from user data — location, preferences, history, social graph, schedule and more.
Sure, Google has other ways to monetize Android, including carrier deals, cloud-service up-selling and others. But by far the largest determinant of Google’s future success with Android is how thoroughly the world will allow Google’s advertising customers to exploit user data.
Google’s head of consumer products, Marissa Mayer, talked about Google’s plan for “contextual discovery” at LeWeb ‘10 conference in Paris this month. The idea is that Google will be able to mind and analyze user data, including location data, to provide “search results” even before the user decides to conduct a search. That same data could be used to serve up incredibly relevant ads, coupons and special offers.
I’m sure Apple would like to do something similar eventually. The point, however, is that mining user data is the most important aspect of Google’s plans to monetize Android. But it’s only a minor part of Apple’s plans.
If, in an extreme hypothetical example, all user data collection was banned, it would be the best thing that could possibly happen to Apple in its competition with Google. Apple would continue to make its billions on hardware and app royalties, while Google would be left with nothing except old-and-busted non-contextual ads.
Of course, this isn’t going to happen. But court cases will largely determine the legal limits of personal data collection, use and sharing.
The class-action lawsuits against Apple matter far more to Google than to Apple.
Besides, Apple’s remedies will be trivially easy to implement. In the worst case scenario, Apple may be faced with a tweak in its UDID-sharing policy, minor adjustments to code and possibly even the distribution of lunch money to the aggrieved parties.
But for Google, Android’s whole future rests on cases like these. Without contextual advertising, which requires the harvesting and processing of user data, Google would have to come up with a new Android business model.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.