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""This project also came on the heels of a very public debate about structural sexism in Wikipedia. [This] began when writer Amanda Filipacchi wrote a New York Times op-ed on a problematic editorial practice being implemented by a number of Wikipedia editors: women were being removed from the 'American Novelists' category and moved into a subcategory for 'American Women Novelists.'" Filipacchi's piece set the internet on fire, sparking a mass call for reform."

""I have no reason to doubt it - he was just in the right place at the right time, and it was a once-in-a-lifetime photo." But others questioned its veracity, including American evolutionary biologist Dan Graur. He said: "This is a fake photo if I ever saw one. The uniform blurred background is pure Photoshop."

"Rutgers University's new program also uses a "behavior observation tool," which monitors student browser activity throughout an active session. While this feature is intended to prevent students from using the Internet to cheat on exams, the power that this grants instructors is extremely invasive. If a student accidentally leaves a personal or embarrassing website in their browser during an online course, a ProctorTrack instructor might stumble upon their activity."

"Now, the number of combinations of these columns grows exponentially with the number of columns. So if you have many, many columns-and we do in modern databases-you'll get up into millions and millions of attributes for each person. Now, if I start allowing myself to look at all of the combinations of these features-if you live in Beijing, and you ride bike to work, and you work in a certain job, and are a certain age-what's the probability you will have a certain disease or you will like my advertisement? Now I'm getting combinations of millions of attributes, and the number of such combinations is exponential; it gets to be the size of the number of atoms in the universe."

"This practice is problematic for women, their self-image and their sense of worth, as they continue to compare their own bodies with unattainable, digitally enhanced images. "

"The researchers, Tero Karras, Samuli Laine, and Timo Aila, came up with a new way of constructing a generative adversarial network, or GAN. GANs employ two dueling neural networks to train a computer to learn the nature of a data set well enough to generate convincing fakes. When applied to images, this provides a way to generate often highly realistic fakery. The same Nvidia researchers have previously used the technique to create artificial celebrities (read our profile of the inventor of GANs, Ian Goodfellow)."

"The bitcoin blockchain was created, in part, to address this historical weakness. After the 21 millionth bitcoin is mined, in around 2140, the system will produce no more."

"They've moved "authoritative sources" to the top search results. The question we need to ask is: "How does this play out in the Real World?" In the real world it means that the worldview, the political bias, the social preferences, the positions taken in various ideological and scientific controversies - as decided by top Google Executives - have been virtually hard-coded into Google's search algorithms. No longer is Google returning "unbiased and objective results"."

"The app, using Solid's decentralized technology, allows Berners-Lee to access all of his data seamlessly-his calendar, his music library, videos, chat, research. It's like a mashup of Google Drive, Microsoft Outlook, Slack, Spotify, and WhatsApp."

"Rekognition indicated high confidence that 28 members of the current Congress were known arrestees. It was wrong in every case. The false positives disproportionately targeted racialized members of Congress. This, finally, has Congress's attention: members of Congress have sent some pointed questions to Amazon about its Rekognition tool and given them a deadline of Aug 20 to respond. They've also requested an immediate meeting with Jeff Bezos to discuss the topic in depth."

"EFF's Legal Director Corynne McSherry offers five lessons to keep in mind: 1. (Lots of) mistakes will be made: copyright takedowns result in the removal of tons of legitimate content. 2. Robots won't help: automated filtering tools like Content ID have been a disaster, and policing copyright with algorithms is a lot easier than policing "bad speech." 3. These systems need to be transparent and have due process. A system that allows for automated instant censorship and slow, manual review of censorship gives a huge advantage to people who want to abuse the system. 4. Punish abuse. The ability to censor other peoples' speech is no joke. If you're careless or malicious in your takedown requests, you should pay a consequence: maybe a fine, maybe being barred form using the takedown system. 5. Voluntary moderation quickly becomes mandatory. Every voluntary effort to stem copyright infringement has been followed by calls to make those efforts mandatory (and expand them)."

"Facebook is keeping true to its "be terrible" motto by paying The Daily Telegraph to run a series of sponsored articles praising Facebook."

"The creators of a revolutionary AI system that can write news stories and works of fiction - dubbed "deepfakes for text" - have taken the unusual step of not releasing their research publicly, for fear of potential misuse."

"Of all the disturbing parts of this @CaseyNewton piece about Facebook content reviewers -- and there are many -- the one about people slowly coming to believe the conspiracy theories sticks with me https://t.co/ulDx3PEaWa"

"The underlying theory is that art evolves "through small alterations to a known style that produce a new one," which, as Ian Bogost (previously) points out, is "a convenient take, given that any machine-learning technique has to base its work on a specific training set.""

"Automatically produced texts use language models derived from statistical analysis of vast corpuses of human-generated text to produce machine-generated texts that can be very hard for a human to distinguish from text produced by another human. These models could help malicious actors in many ways, including generating convincing spam, reviews, and comments -- so it's really important to develop tools that can help us distinguish between human-generated and machine-generated texts."

""Urban legends are projections of society's anxieties, hopes, fears, and worries," says Blank. "In today's society we have societal anxiety about what our kids are doing on the internet, the amount of control and information that's available to kids nowadays, societal fears about cyberbullying and how people are managing their mental health online, especially for kids." "The Momo story reflects that anxiety of what is it our kids are doing online," continued Blank."