Google Settles Lawsuit Alleging Misleading Tracking in “Private” Mode

Google recently reached a settlement in a lawsuit that accused the tech giant of misleading users by tracking their browsing activity while in private mode. The class-action lawsuit, filed in June 2020, sought substantial damages amounting to at least $5 billion. Allegations claimed that Google had violated federal wiretap laws and collected user data through Google Analytics, even when users believed their internet use was private.

Allegations and Lawsuits

The plaintiffs involved in the lawsuit accused Google of breaching their privacy expectations and claimed that the company had collected an “unaccountable trove of information” about users who thought their online activities were protected while in private mode. The accusations centered around Google’s use of Google Analytics to track users’ behavior and gather data without obtaining explicit consent. The vast amount of information obtained in this manner further raised concerns regarding user privacy.

Tracking in private mode

The plaintiffs argued that Google’s tracking activities infringed upon their privacy expectations while browsing in private mode. Although private mode is commonly believed to guarantee anonymity, the plaintiffs claimed that Google Analytics allowed the company to collect data and create a comprehensive profile of users, undermining their assumptions of privacy. This revelation prompted a closer examination of the limitations of private mode in web browsers.

Google’s defense

Google sought to dismiss the lawsuit, primarily based on a message displayed to users when they activated Chrome’s incognito mode. The company argued that the message clearly indicated that websites could still track users despite their presence in private mode. However, the plaintiffs contended that users had not explicitly consented to Google’s data collection practices, highlighting the need to assess the level of consent obtained.

Limitations of Private Mode

It is crucial to understand the limitations of private mode in web browsers. Enabling incognito or private mode only prevents locally stored data within the browser from being saved. However, websites utilizing advertising technologies and analytics APIs can still track user activity within the incognito session. By correlating data such as IP addresses, these third-party entities can gather comprehensive information about users’ online behavior, rendering the notion of private browsing less effective than commonly assumed.

The court’s decision

In considering Google’s motion to dismiss, the court examined whether the company had obtained explicit consent from users for data collection while browsing in private mode. The court concluded that although Google had pointed out the potential for tracking, it had not explicitly informed users of its own data collection practices. Consequently, the court ruled against Google’s motion, deeming it unable to find explicit user consent for the data collection activities in question.

Settlement Agreement

As the lawsuit progressed, Google and the plaintiffs entered into a settlement agreement. Unfortunately, specific terms and details of the settlement were not disclosed. However, it is clear that both sides recognized the value in resolving the matter through a settlement rather than continuing litigation.

The settlement of the lawsuit against Google regarding its tracking practices in private mode highlights the complex nature of online privacy. While private mode may offer some level of protection by preventing local data storage, it does not shield users from external entities tracking their internet activities. This case underscores the need for clearer communication from technology companies regarding data collection practices, particularly when it comes to user consent. As user privacy concerns persist, it is imperative for both companies and individuals to remain vigilant in safeguarding personal data.

Explore more

Trend Analysis: AI in Real Estate

Navigating the real estate market has long been synonymous with staggering costs, opaque processes, and a reliance on commission-based intermediaries that can consume a significant portion of a property’s value. This traditional framework is now facing a profound disruption from artificial intelligence, a technological force empowering consumers with unprecedented levels of control, transparency, and financial savings. As the industry stands

Insurtech Digital Platforms – Review

The silent drain on an insurer’s profitability often goes unnoticed, buried within the complex and aging architecture of legacy systems that impede growth and alienate a digitally native customer base. Insurtech digital platforms represent a significant advancement in the insurance sector, offering a clear path away from these outdated constraints. This review will explore the evolution of this technology from

Trend Analysis: Insurance Operational Control

The relentless pursuit of market share that has defined the insurance landscape for years has finally met its reckoning, forcing the industry to confront a new reality where operational discipline is the true measure of strength. After a prolonged period of chasing aggressive, unrestrained growth, 2025 has marked a fundamental pivot. The market is now shifting away from a “growth-at-all-costs”

AI Grading Tools Offer Both Promise and Peril

The familiar scrawl of a teacher’s red pen, once the definitive symbol of academic feedback, is steadily being replaced by the silent, instantaneous judgment of an algorithm. From the red-inked margins of yesteryear to the instant feedback of today, the landscape of academic assessment is undergoing a seismic shift. As educators grapple with growing class sizes and the demand for

Legacy Digital Twin vs. Industry 4.0 Digital Twin: A Comparative Analysis

The promise of a perfect digital replica—a tool that could mirror every gear turn and temperature fluctuation of a physical asset—is no longer a distant vision but a bifurcated reality with two distinct evolutionary paths. On one side stands the legacy digital twin, a powerful but often isolated marvel of engineering simulation. On the other is its successor, the Industry