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How Google Tracks You – And What You Can Do About It

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How Google Tracks You - And What You Can Do About It

How Google Tracks You – And What You Can Do About It

Ever get the feeling you’re being watched?

It’s because you are – and for a rough proxy of this, use the browser extension Ghostery to see how many tracking scripts are watching you on a typical media site. (It doesn’t work for everything, but a large media site like Vice.com has 50+ trackers, with 40 of them focused on advertising).

Capturing this user data helps sites sell their inventory to advertisers, but a select few companies operate in this capacity at a whole different level. Google and Facebook are the best of examples of this, as nearly $0.60 of every dollar spent on digital advertising goes to them. They both have the sophistication and ubiquity to capture incredible amounts of information about you.

Google is Everywhere

Today’s infographic, which comes to us from Mylio, focuses in on Google in particular.

The search giant is massive in size, and there is a good chance you tap into Googleverse in some way:

  • Global market penetration for Android is 61-81%.
  • Google has a 78.8% market share for online search.
  • The company generates $67.4 billion in annual ad revenue.
  • Google processes two trillion searches annually.
  • 30-50 million websites use Google Analytics to for tracking.
  • There are 700,000 apps available in the Google Play store.
  • 82% of videos watched online come from YouTube.
  • In total, Google has at least 79 products and services.

According to Google’s documentation, it uses these services to pull out information on the “things you do”, “things you create”, and the things that make you unique.

See What Google Collects

All in all, Google tracks your activity history, location history, audio history, and device history. It also builds a profile for you for serving ads – age, gender, location, income, and other demographic data.

You can view and actually download this history by using a tool called Google Takeout.

Many people understand that their data helps support advertising revenues on websites they enjoy. Others are rightly concerned about their privacy, and how their information is used. Regardless of which category you fit in, becoming informed about how privacy on the internet works will help you craft an experience that best fits your preferences.

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Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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