«Voters in Pennsylvania, Virginia, and Wisconsin, all states with tight races, were the most targeted. Specifically, voters in Wisconsin were targeted with gun ads about 72 percent more often than the national average. She also found that white voters received 87 percent of all immigration ads. It makes sense that swing states would be more heavily targeted overall leading up to an election. And Kim didn’t analyze the Russians trolls’ targets independently from the other unregulated ads, given the small sample size of 19 groups».
Source : How Russian Facebook Ads Divided and Targeted US Voters Before the 2016 Election | WIRED
«Facebook is bringing « dark posts » into the light in response to the election interference on social media last year, and the new rules will impact all advertisers.On Friday, Facebook revealed a new system of disclosing what groups and companies paid for ads on its platform: Any ads running on Facebook will be readily viewable by anyone.That means no more so-called dark posts, ads that target only a particular set of people but are invisible otherwise because they never appear as posts on a brand or group’s page».
Source : Facebook to Drag Dark Posts Into Light Thanks to Election | Digital – AdAge
“Tesla withdrew from the party agreement with the NTSB because it requires that we not release information about Autopilot to the public, a requirement which we believe fundamentally affects public safety negatively. We believe in transparency, so an agreement that prevents public release of information for over a year is unacceptable. Even though we won’t be a formal party, we will continue to provide technical assistance to the NTSB.”
Source : Tesla booted from investigation into fatal Autopilot crash – The Verge
«MIT researchers have developed a computer interface that can transcribe words that the user verbalizes internally but does not actually speak aloud.The system consists of a wearable device and an associated computing system. Electrodes in the device pick up neuromuscular signals in the jaw and face that are triggered by internal verbalizations — saying words “in your head” — but are undetectable to the human eye. The signals are fed to a machine-learning system that has been trained to correlate particular signals with particular words».
Source : Computer system transcribes words users “speak silently” | MIT News
«We’re glad those are the choices we’ve made. Today, we are launching the Signal Foundation, an emerging 501(c)(3) nonprofit created and made possible by Brian Acton, the co-founder of WhatsApp, to support, accelerate, and broaden Signal’s mission of making private communication accessible and ubiquitous. In case you missed it, Brian left WhatsApp and Facebook last year, and has been thinking about how to best focus his future time and energy on building nonprofit technology for public good.
Starting with an initial $50,000,000 in funding, we can now increase the size of our team, our capacity, and our ambitions».
Source : Signal >> Blog >> Signal Foundation