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"Crucial to his success, he says, was YouTube's recommendation system, the feature that promotes videos for you to watch on the homepage or in the "Up Next" column to the right of whatever you're watching. "We were recommended constantly," he tells me. YouTube's algorithms, he says, figured out that "people getting into flat earth apparently go down this rabbit hole, and so we're just gonna keep recommending.""

"To arrive at a recommended rent, the software deploys an algorithm - a set of mathematical rules - to analyze a trove of data RealPage gathers from clients, including private information on what nearby competitors charge. For tenants, the system upends the practice of negotiating with apartment building staff. RealPage discourages bargaining with renters and has even recommended that landlords in some cases accept a lower occupancy rate in order to raise rents and make more money. One of the algorithm's developers told ProPublica that leasing agents had "too much empathy" compared to computer generated pricing."

"To create Discover Weekly, there are three main types of recommendation models that Spotify employs: Collaborative Filtering models (i.e. the ones that Last.fm originally used), which analyze both your behavior and others' behaviors. Natural Language Processing (NLP) models, which analyze text. Audio models, which analyze the raw audio tracks themselves."

"But the Turkish government has a plan to keep its youngsters from witnessing too much violence: it is calling to ban Minecraft. "

""All passwords are Diceware generated and contain six words," Mira says on her website. "I write the passwords by hand and do not keep a copy of what I have sent to you. The passwords are sent by U.S. Postal Mail, which cannot be opened by the government without a search warrant." She also recommends you alter the pass phrase slightly after she sends it to you."

" Critics have pointed out that the old computing adage "garbage in, garbage out" also applies to ML. If the data from which a machine "learns" is biased, then the outputs will reflect those biases. And this could become generalised: we may have created a technology that - however good it is at recommending films you might like - may actually morph into a powerful amplifier of social, economic and cultural inequalities."

"Big data and artificial intelligence are some of today's most popular buzzwords. Both are promised to help deliver insights that were previously too complex for computer systems to calculate. With examples ranging from personalised recommendation systems to automatic facial analyses, user-generated data is now analysed by algorithms to identify patterns and predict outcomes. And the common view is that these developments will have a positive impact on society."

"Facebook Inc. Chief Executive Officer Mark Zuckerberg called for new global regulations governing the internet, recommending overarching rules on hateful and violent content, election integrity, privacy and data portability."

""Anonymised" data lies at the core of everything from modern medical research to personalised recommendations and modern AI techniques. Unfortunately, according to a paper, successfully anonymising data is practically impossible for any complex dataset."

"Chinese scientists have developed a 500 megapixel facial recognition camera four times more detailed than the human eye that can identify individuals from crowds of tens of thousands in streets or at sports stadiums. "

"We are talking about vast fields of aggregate data, the scale of which is difficult to comprehend; this data can be parsed by the artificial intelligence recommendation algorithms that Google has pioneered, and that now steer everything from employment application processes to dating apps."

"Japanese supercomputer simulations showed that wearing two masks gave limited benefit in blocking viral spread compared with one properly fitted mask. The findings in part contradict recent recommendations from the U.S. Centers of Disease Control and Prevention (CDC) that two masks were better than one at reducing a person's exposure to the coronavirus. Researchers used the Fugaku supercomputer to model the flow of virus particles from people wearing different types and combinations of masks, according to a study released on Thursday by research giant Riken and Kobe University."

"In the last year, Facebook adjusted some of the most fundamental rules about what gets posted on its platform, halting algorithmic recommendations of political groups, banning lies about vaccines and removing a number of high-profile figures for spreading misinformation and hate - including Donald Trump. But researchers say the social media platform is not enforcing those policies as effectively when it comes to misinformation in Spanish - a blind spot that may prove deadly as health lies spread through the most vulnerable populations during the global vaccine effort."

"The greatest propaganda machine in history. Think about it. Facebook, YouTube and Google, Twitter and others - they reach billions of people. The algorithms these platforms depend on deliberately amplify the type of content that keeps users engaged - stories that appeal to our baser instincts and that trigger outrage and fear. It's why YouTube recommended videos by the conspiracist Alex Jones billions of times. It's why fake news outperforms real news, because studies show that lies spread faster than truth. And it's no surprise that the greatest propaganda machine in history has spread the oldest conspiracy theory in history - the lie that Jews are somehow dangerous. As one headline put it, "Just Think What Goebbels Could Have Done with Facebook.""

"YouTube viewers are being asked to become "watchdogs" and record their use of the site to help uncover the ways in which its recommendation algorithm can lead to online radicalisation."

"How to foster a reliable and diverse information space, protect human rights from intrusive surveillance, and promote internet freedom."

"As adolescents and young adults fled Facebook for platforms like Instagram and Snapchat, Facebook knew its long-term survival depended on winning over that demographic. But the savvy business move had a different, less public price tag. Caught up in recommendations from a powerful algorithm designed to keep them engaged, some teen girls found Instagram worsened their body image, according to a new Wall Street Journal investigation. Users even pinned feelings of increased depression, anxiety, and suicidal thinking on the app."

"The streaming video company's recommendation algorithm can sometimes send you on an hours-long video binge so captivating that you never notice the time passing. But according to a study from software nonprofit Mozilla Foundation, trusting the algorithm means you're actually more likely to see videos featuring sexualized content and false claims than personalized interests."

"According to a report by Sophos, malware and spam are on the rise on social networks such as Twitter, MySpace, Facebook and LinkedIn. In the last year, 57% of users report they have been spammed via social networking sites, an increase of 70.6% compared to last year. Furthermore, 36% of users claim they've been sent malware via social networking sites, which is a rise of 69.8% from last year. On the other hand, CEOs of companies are concerned that their employees' usage of social networks is posing a security risk for their company. Sophos has surveyed more than 500 organizations, discovering that 72% of them think social networks are a danger for their companys, with 60% of them tagging Facebook as the biggest security risk, followed by MySpace, Twitter and LinkedIn. Graham Cluley, senior technology consultant for Sophos, says that Facebook is the biggest threat because it's the biggest social network out there, but he also places some of the blame on Facebook's own privacy rules. "When Facebook rolled-out its new recommended privacy settings late last year, it was a backwards step, encouraging many users to share their information with everybody on the internet," he says. Interestingly enough (and contrasted to some of the reports we've seen lately), Cluley thinks that simply barring access to Facebook is not the solution. "Social networks can be an essential part of the business mix today," he says, "and the answer is not to bar staff from participating in them but to apply some 'social security' instead.""