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The tricks that web designers use to make you spend more online — Quartz


April 4, 2021
Donald Trump and his allies relied on misinformation to bolster support for the former US president ahead of the last election. His campaign, meanwhile, turned to deceptive design to bump up donations from unsuspecting Americans, the New York Times reports.
Last September, the paper reveals, when the Trump campaign faced a cash shortage, it leaned on supporters to turn their one-time donations into monthly and, eventually, weekly contributions. The problem is the campaign’s website didn’t ask people to
opt–
in to this enhanced giving schedule, it asked them to
opt-out. Trump backers only discovered later that WinRed, the for-profit company that processed Trump campaign payments, was taking hundreds or thousands out of their bank accounts. The Times’ Shane Goldmacher writes: ....

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Dark patterns, the tricks websites use to make you say yes, explained


Dark patterns, the tricks websites use to make you say yes, explained
Vox.com
2 hrs ago
Open Sourced logo
If you’re an Instagram user, you may have recently seen a pop-up asking if you want the service to “use your app and website activity” to “provide a better ads experience.” At the bottom there are two boxes: In a slightly darker shade of black than the pop-up background, you can choose to “Make ads less personalized.” A bright blue box urges users to “Make ads more personalized.”
This is an example of a dark pattern: design that manipulates or heavily influences users to make certain choices. Instagram uses terms like “activity” and “personalized” instead of “tracking” and “targeting,” so the user may not realize what they’re actually giving the app permission to do. Most people don’t want Instagram and its parent company, Facebook, to know everything they do and everywhere they go. But a “better experience” sou ....

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Mobility data used to respond to COVID-19 can leave out older and non-white people


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Information on individuals mobility where they go as measured by their smartphones has been used widely in devising and evaluating ways to respond to COVID-19, including how to target public health resources. Yet little attention has been paid to how reliable these data are and what sorts of demographic bias they possess. A new study tested the reliability and bias of widely used mobility data, finding that older and non-White voters are less likely to be captured by these data. Allocating public health resources based on such information could cause disproportionate harms to high-risk elderly and minority groups.
The study, by researchers at Carnegie Mellon University (CMU) and Stanford University, appears in the ....

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