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"no dearth of posts related to vaccines, the top 50 Facebook pages ranked by the number of public posts they made about vaccines generated nearly half (46 percent) of the top 10,000 posts for or against vaccinations, as well as 38 percent of the total likes on those posts, from January 2016 to February of this year."

"Facebook has detailed the steps it's taking to get help for people who need it. Which involves using artificial intelligence to "detect posts or live videos where someone might be expressing thoughts of suicide," identifying appropriate first responders, and then employing more people to "review reports of suicide or self harm". The social network has been testing this system in the U.S. for the last month, and "worked with first responders on over 100 wellness checks based on reports we received via our proactive detection efforts." In some cases the local authorities were notified in order to help."

"Hundreds of Facebook employees have signed a letter to executive Mark Zuckerberg decrying his decision to allow politicians to post advertisements on the platform that include false claims."

"What wasn't publicly known until now is that Facebook actually ran experiments to see how the changes would affect publishers-and when it found that some of them would have a dramatic impact on the reach of right-wing "junk sites," as a former employee with knowledge of the conversations puts it, the engineers were sent back to lessen those impacts. As the Wall Street Journal reported on Friday, they came back in January 2018 with a second iteration that dialed up the harm to progressive-leaning news organizations instead."

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"Hangzhou Zhongheng Electric is just one example of the large-scale application of brain surveillance devices to monitor people's emotions and other mental activities in the workplace, according to scientists and companies involved in the government-backed projects. Concealed in regular safety helmets or uniform hats, these lightweight, wireless sensors constantly monitor the wearer's brainwaves and stream the data to computers that use artificial intelligence algorithms to detect emotional spikes such as depression, anxiety or rage."

"A "massive anti-vaccination campaign" has been cited by the European Commission as a reason for social media platforms to intensify their factchecking and revise the internal algorithms that can amplify disinformation. Under a revised code of practice proposed by Brussels, companies such as Facebook, Google and Twitter would need to show why particular material is disseminated and prove that false information is being blocked."

"So if we put those three findings together, what do we get? * Small groups of * ageing * right-wingers * on their desktop computers (because this study wasn't-couldn't be-carried out on mobile, only desktop) ..get their information from unreliable, partisan news sites. The study doesn't say whether they then go on to share it on Facebook or on their Twitter account grumpyboomer032945231, but it's not hard to imagine that's what happens. This isn't to let the search algorithms off the hook either, but does go to show that the real problem, as ever, lies with the humans."

"If you were doubting how important recommender systems are to social media companies, a lawsuit filed last week against Meta makes it crystal clear. At the heart of this legal battle is a fundamental question: Shouldn't users have the power to decide what they do and don't see online? The lawsuit filed by Knight First Amendment Institute at Columbia University on behalf of Professor Ethan Zuckerman directly challenges how social media feeds are curated. Professor Zuckerman's proposed browser extension, 'Unfollow Everything 2.0,' would enable Facebook users to disengage from the algorithmically driven content that dominates their feeds, by allowing them to unfollow friends, pages and groups en masse, thus resetting their digital interactions on their terms."

"To demonstrate how reality may differ for different Facebook users, The Wall Street Journal created two feeds, one "blue" and the other "red." If a source appears in the red feed, a majority of the articles shared from the source were classified as "very conservatively aligned" in a large 2015 Facebook study. For the blue feed, a majority of each source's articles aligned "very liberal." These aren't intended to resemble actual individual news feeds. Instead, they are rare side-by-side looks at real conversations from different perspectives. "

"The message seems to be that if you really want to keep something private, treat it as a secret, and in the age of algorithmic analysis and big data, perhaps best to follow Winston Smith's bitter lesson from Nineteen Eighty-Four: "If you want to keep a secret, you must also hide it from yourself.""

"Meta estimates about 100,000 children using Facebook and Instagram receive online sexual harassment each day, including "pictures of adult genitalia", according to internal company documents made public late Wednesday."

"The announcement also highlights the growing partnership between Meta and Nvidia. Nvidia is a key Meta partner, providing the Facebook parent with computing chips called GPUs to help train its AI models, including the latest version of Llama."

"Curtin University internet studies professor Tama Leaver posted about some of his tests with Emu's sticker generation to X, formerly known as Twitter. Leaver found, for example, that the AI will block a phrase like "child with gun" and display a warning message about how the prompt doesn't follow Meta's Community Guidelines. Emu will, however, generate stickers with the similar, more niche prompt "child with grenade." It not only creates stickers of kids holding the weapon but also produces stickers of children holding guns."

"There is also a lot of research that both third-party fact-checking and Community Notes can be really effective at reducing misperceptions. But - and this is a significant caveat - neither works well as a complete solution for lies on social media. When Twitter was working on Birdwatch, they claimed it would "not replace other labels and fact checks Twitter currently uses". But as I've written about before, Musk scaled back Twitter's Trust and Safety team significantly and positioned Community Notes as the replacement. As Yoel Roth, Twitter's former head of Trust and Safety, told WIRED, "The intention of Birdwatch was always to be a complement to, rather than a replacement for, Twitter's other misinformation methods." In fact, research on various attempts to mitigate COVID misinformation found that a layered, "Swiss cheese" approach might work best, where some efforts work well sometimes, but collectively the system catches most falsehoods."