These TVs can capture and identify 7,200 images per hour, or approximately two every second. The data is then used for content recommendations and ad targeting, which is a huge business; advertisers spent an estimated $18.6 billion on smart TV ads in 2022, according to market research firm eMarketer.
Location firm Near describes itself as “The World’s Largest Dataset of People’s Behavior in the Real-World,” with data representing “1.6B people across 44 countries.” Mobilewalla boasts “40+ Countries, 1.9B+ Devices, 50B Mobile Signals Daily, 5+ Years of Data.” X-Mode’s website claims its data covers “25%+ of...
“After signing into their ACT account, if a student accepted cookies on the following page, Facebook received details on almost everything they clicked on—including scrambled but identifiable data like their first and last name, and whether they’re registering for the ACT. The site even registered clicks about a...
Using a panel of 709 volunteers who shared archives of their Facebook data, Consumer Reports found that a total of 186,892 companies sent data about them to the social network. On average, each participant in the study had their data sent to Facebook by 2,230 companies. That number varied significantly, with some panelists’...
Two proposed federal class action lawsuits, filed in the wake of a Markup investigation, accuse the grocer of disclosing private data through its online store and pharmacy...
An investigation by the media organization The Markup found the pixel by Facebook and Instagram-parent Meta on dozens of popular websites targeting kids from kindergarten to college, including sites that students are all but required to use if they want to participate in school activities or apply to college....
In October, New York City announced a plan to harness the power of artificial intelligence to improve the business of government. The announcement included a surprising centerpiece: an AI-powered chatbot that would provide New Yorkers with information on starting and operating a business in the city....
The idea behind predictive policing is that by feeding historical crime data into a computer algorithm, it’s possible to determine where crime is most likely to occur, or who is most likely to offend. Law enforcement officials can then make proactive interventions, like conducting patrols in predicted crime locations, ideally...
Might be old news for some… TLDR: Some big online tax prep sites have tracker pixels from Meta and Google, which collect things like income, filing status, tax credits, etc....