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"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."

""The idea that we can have counter-speech when [Facebook] groups become brigade mobs is ludicrous," said Renee DiResta, an expert in online misinformation and co-founder of Vaccinate California. "It makes just participating as an everyday citizen a high-stakes ordeal.""

"That's interesting work suggesting that Russian troll activity was significantly more ambitious on an international scale than previously thought. It also suggests a way of spotting this kind of meddling as it is happening by looking for the kind of forensic fingerprint the team identified. Of course, finding trolls is a cat-and-mouse game. For the organizations responsible for Russian troll activity, it ought to be a straightforward matter to change the pattern of activity in a way that does not create the same signature."

"Already, artificially intelligent software can evolve false political and social constructs highly targeted to sway specific audiences. Users find themselves in highly individualized, algorithmically determined news and information feeds, intentionally designed to: isolate them from conflicting evidence or opinions, create self-reinforcing feedback loops of confirmation, and untether them from fact-based reality. And these are just early days. If memes and disinformation have been weaponized on social media, it is still in the musket stage."

"However, according to data on the force's website, 92% (2,297) of those were found to be "false positives". South Wales police admitted that "no facial recognition system is 100% accurate", but said the technology had led to more than 450 arrests since its introduction. It also said no one had been arrested after an incorrect match."

"Facebook announced late Friday that it had eliminated jobs in its trending module, the part of its news division where staff curated popular news for Facebook users. Over the weekend, the fully automated Facebook trending module pushed out a false story about Fox News host Megyn Kelly, a controversial piece about a comedian's four-letter word attack on rightwing pundit Ann Coulter"

"Facebook is mired in a series of controversies about the curation of its news feed, from its broadcasting live killings, to editing out an iconic photo of the Vietnam war, to accusations of political bias. It recently tried to smooth the process out by firing its human editors … only to find the news feed degenerated into a mass of fake and controversial news stories."

"However, there's a new breed of video and audio manipulation tools, made possible by advances in artificial intelligence and computer graphics, that will allow for the creation of realistic looking footage of public figures appearing to say, well, anything. Trump declaring his proclivity for water sports. Hillary Clinton describing the stolen children she keeps locked in her wine cellar. Tom Cruise finally admitting what we suspected all along … that he's a Brony."

"It found that social media bots were used by many countries to drum up ideas aligning with party messaging, by inflating social media engagement, "creating an artificial sense of popularity, momentum or relevance." An army of 500 to "amplify" ideas In Duterte's case, his social media manager has said they've used some 400 to 500 people to "amplify" ideas. They individually handled groups on platforms like Facebook, that each had hundreds to hundreds of thousands of followers."