Camel Pilot writes: The new GOP tax plan -- which just passed the House -- will tax tuition waivers as income. Graduate students working as research assistants on meager stipends would have to declare tuition waivers as income on the order of $80,000 income. This will force many graduate students of modest means to quit their career paths and walk away from their research. These are the next generation of scientists, engineers, inventors, educators, medical miracle workers and market makers. As Prof Claus Wilke points out: "This would be a disaster for U.S. STEM Ph.D. education." Slashdot reader Camel Pilot references a report via The New York Times, where Erin Rousseau explains how the House of Representatives' recently passed tax bill affects graduate research in the United States. Rousseau is a graduate student at M.I.T. who studies the neurological basis of mental health disorders. "My peers and I work between 40 and 80 hours a week as classroom teachers and laboratory researchers, and in return, our universities provide us with a tuition waiver for school. For M.I.T. students, this waiver keeps us from having to pay a tuition bill of about $50,000 every year -- a staggering amount, but one that is similar to the fees at many other colleges and universities," he writes. "No money from the tuition waivers actually ends up in our pockets, so under Section 117(d)(5), it isn't counted as taxable income." Rousseau continues by saying his tuition waivers will be taxed under the House's tax bill. "This means that M.I.T. graduate students would be responsible for paying taxes on an $80,000 annual salary, when we actually earn $33,000 a year. That's an increase of our tax burden by at least $10,000 annually."

An anonymous reader quotes a report from The Register: Three misconfigured AWS S3 buckets have been discovered wide open on the public internet containing "dozens of terabytes" of social media posts and similar pages -- all scraped from around the world by the U.S. military to identify and profile persons of interest. The archives were found by veteran security breach hunter UpGuard's Chris Vickery during a routine scan of open Amazon-hosted data silos, and these ones weren't exactly hidden. The buckets were named centcom-backup, centcom-archive, and pacom-archive. CENTCOM is the common abbreviation for the U.S. Central Command, which controls army operations in the Middle East, North Africa and Central Asia. PACOM is the name for U.S. Pacific Command, covering the rest of southern Asia, China and Australasia.

"For the research I downloaded 400GB of samples but there were many terabytes of data up there," he said. "It's mainly compressed text files that can expand out by a factor of ten so there's dozens and dozens of terabytes out there and that's a conservative estimate." Just one of the buckets contained 1.8 billion social media posts automatically fetched over the past eight years up to today. It mainly contains postings made in central Asia, however Vickery noted that some of the material is taken from comments made by American citizens. The databases also reveal some interesting clues as to what this information is being used for. Documents make reference to the fact that the archive was collected as part of the U.S. government's Outpost program, which is a social media monitoring and influencing campaign designed to target overseas youths and steer them away from terrorism.

New submitter mikeebbbd writes: "U.S. regulators on Thursday approved the use of new technology that will improve picture quality on mobile phones, tablets and television, but also raises significant privacy concerns by giving advertisers dramatically more data about viewing habits," reports Reuters. ATSC3.0 will apparently make personal data collection and targeted ads possible. New TVs will be necessary, and broadcasters will need to transmit both ATSC 2.0 (the current standard) for 3 to 5 years before turning off the older system. For now, the conversion is voluntary. There appears to be no requirement (as there was when ATSC 2.0 came out) for low-cost adapter boxes to make older TVs work; once a channel goes ATSC 3.0-only, your old TV will not display it any more.

A German regulator has banned the sale of smartwatches aimed at children, describing them as spying devices. From a report: It had previously banned an internet-connected doll called, My Friend Cayla, for similar reasons. Telecoms regulator the Federal Network Agency urged parents who had such watches to destroy them. One expert said the decision could be a "game-changer" for internet-connected devices. "Poorly secured smart devices often allow for privacy invasion. That is really concerning when it comes to kids' GPS tracking watches - the very watches that are supposed to help keep them safe," said Ken Munro, a security expert at Pen Test Partners.

Earlier this week, several publications published a holiday-themed data study about how families that voted for opposite parties spent less time together on Thanksgiving, especially in areas that saw heavy political advertising. The data came from a company called SafeGraph that supplied publications with 17 trillion location markets for 10 million smartphones. A report looks at the bigger picture: The data wasn't just staggering in sheer quantity. It also appears to be extremely granular. Researchers "used this data to identify individuals' home locations, which they defined as the places people were most often located between the hours of 1 and 4 a.m.," wrote The Washington Post. The researchers also looked at where people were between 1 p.m. and 5 p.m. on Thanksgiving Day in order to see if they spent that time at home or traveled, presumably to be with friends or family. "Even better, the cellphone data shows you exactly when those travelers arrived at a Thanksgiving location and when they left," the Post story says. To be clear: This means SafeGraph is looking at an individual device and tracking where its owner is going throughout their day. A common defense from companies that creepily collect massive amounts of data is that the data is only analyzed in aggregate; for example, Google's database BigQuery, which allows organizations to upload big data sets and then query them quickly, promises that all its public data sets are "fully anonymized" and "contain no personally-identifying information." In multiple press releases from SafeGraph's partners, the company's location data is referred to as "anonymized," but in this case they seem to be interpreting the concept of anonymity quite liberally given the specificity of the data.