Blacklight, a tool to see how the websites you visit are tracking you

Companies are tracking what you do online. You know this. But it can be a challenge to know the extent, because the methods are hidden on purpose. So The Markup built Blacklight:

To investigate the pervasiveness of online tracking, The Markup spent 18 months building a one-of-a-kind free public tool that can be used to inspect websites for potential privacy violations in real time. Blacklight reveals the trackers loading on any site—including methods created to thwart privacy-protection tools or watch your every scroll and click.

We scanned more than 80,000 of the world’s most popular websites with Blacklight and found more than 5,000 were “fingerprinting” users, identifying them even if they block third-party cookies.

We also found more than 12,000 websites loaded scripts that watch and record all user interactions on a page—including scrolls and mouse movements. It’s called “session recording” and we found a higher prevalence of it than researchers had documented before.

Try it out here. Just enter a URL, and you’ll see a real-time count of the ad trackers, third-party cookies, cookie evaders, and keystroke recorders on any given site.

This is why I got rid of Google Analytics, social media widgets, and ad-serving snippets on FD years ago.

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Protecting your mobile data and privacy while at a protest

Maddy Varner reporting for The Markup:

“All protesting and all marches are a series of balancing acts of different priorities and acceptable risks,” said Mason Donahue, a member of Lucy Parsons Labs, a Chicago-based group of technologists and activists that run digital security training classes and have investigated the Chicago Police Department’s use of surveillance technology. “There is a lot of communication ability that goes away if you don’t bring a phone period,” he said.

So if you’re going to take your phone, you might want to do some of the following things to minimize risk.

These are straightforward items like installing an app or changing a setting on your phone, so it should only take a few minutes before you step out.

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Remix and make music with audio from the Library of Congress

Brian Foo is the current Innovator-in-Residence at the Library of Congress. His latest project is Citizen DJ, which lets you explore and remix audio from the Library:

It invites the public to make hip hop music using the Library’s public audio and moving image collections. By embedding these materials in hip hop music, listeners can discover items in the Library’s vast collections that they likely would never have known existed. For technical documentation and code, please see the repo.

Give it a go. Even if you’re not into making music, you can still explore the sounds, listen to them in their full context, and end up reading about some song written in the early 1900s.

I’ll take all the rabbit holes I can get.

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Machine learning to help you not touch your face

The CDC recommends that you do not touch your face to minimize the spread of the coronavirus. We do this quite a bit without even thinking about it, so Do Not Touch Your Face uses machine learning to help you adjust. Train the algorithm, and then the algorithm trains you.

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Botnet, a social network where it’s just you and a lot of bots

Botnet is a social media app where you’re the only human among a million bots trained on social media activity. Post pictures, status updates, or whatever else you want. Then let the likes and weird comments roll in.

You can even purchase troll bots, bots that tell dad jokes, and more bots.

Social media is on its way to mostly being bots anyways. Might as well jumpstart the future. Artificial intelligence for the win.

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Color palettes browsable in context

Color scheme selections are nice and all, but they’re even better when viewed in context. It’s part of ColorBrewer’s charm, in the context of maps. Happy Hues offers color schemes in the context of a web page. A combination of this plus Viz Palette would be killer.

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Datawrapper updates pricing structure, do more for free

Datawrapper, a focused web tool that makes online charts easier to put together and share, changed their pricing structure. There used to be a couple of paid tiers for individuals and small teams, but now you get more for free. And even though it’s free:

  • We won’t sell your data. Some companies make the user into the product, but this is not our business model. All data you upload to Datawrapper is treated as confidential and only belongs to your account.
  • We won’t track your readers. Your embedded charts will not contain any code that tracks you or your readers. We’ve never done that, and will continue to not do that, regardless of your plan.
  • Your charts are private. You decide when it’s time to share your charts with the world. Until you hit “Publish”, your charts are visible only to you and your team.
  • Published charts will stay online indefinitely. We will never delete or disable any of your Datawrapper visualizations that you embedded somewhere. We stand by our pledge to keep all our users’ charts online.

They continue to impress.

It wasn’t that long ago when online charting tools felt buggy and overly limited. But Datawrapper is laying some strong groundwork (and Flourish continues to build up their offerings). Instead of a one-size-fits-all, we’re seeing an application focus, which allows for more specific tools.

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Datawrapper updates pricing structure, do more for free

Datawrapper, a focused web tool that makes online charts easier to put together and share, changed their pricing structure. There used to be a couple of paid tiers for individuals and small teams, but now you get more for free. And even though it’s free:

  • We won’t sell your data. Some companies make the user into the product, but this is not our business model. All data you upload to Datawrapper is treated as confidential and only belongs to your account.
  • We won’t track your readers. Your embedded charts will not contain any code that tracks you or your readers. We’ve never done that, and will continue to not do that, regardless of your plan.
  • Your charts are private. You decide when it’s time to share your charts with the world. Until you hit “Publish”, your charts are visible only to you and your team.
  • Published charts will stay online indefinitely. We will never delete or disable any of your Datawrapper visualizations that you embedded somewhere. We stand by our pledge to keep all our users’ charts online.

They continue to impress.

It wasn’t that long ago when online charting tools felt buggy and overly limited. But Datawrapper is laying some strong groundwork (and Flourish continues to build up their offerings). Instead of a one-size-fits-all, we’re seeing an application focus, which allows for more specific tools.

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Make charts that ask readers to predict the line

A few years ago, The New York Times asked readers to guess a trend line before showing the actual data. It forced readers to test their own beliefs against reality. TheyDrawIt from the MU Collective is a tool that lets you make similar prediction charts:

These line graphs encourage readers to reflect on their own beliefs by predicting the data before seeing it. Only after they draw a prediction does the real data appear. The graph can then show the reader traces of other peoples’ predictions. This progression makes it easy for readers to visualize the difference between their predicted beliefs, their peer’s beliefs, and the actual data.

Give it a go.

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FastCharts to make charts fast

FastCharts is the public version of the Financial Times’ in-house solution for making charts, uh, fast. Load some data. Get the chart fast. FastCharts. Kachow.

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