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Javier E

The Sad Trombone Debate: The RNC Throws in the Towel and Gets Ready to Roll Over for Tr... - 0 views

plus.thebulwark.com/...trombone-debate-the-rnc-throws

builder conserver media internet future forecast new content audience distribution creation technology social media

shared by Javier E on 06 Dec 23 - No Cached
  • Death to the Internet
  • Yesterday Ben Thompson published a remarkable essay in which he more or less makes the case that the internet is a socially deleterious invention, that it will necessarily get more toxic, and that the best we can hope for is that it gets so bad, so fast, that everyone is shocked into turning away from it.
  • Ben writes the best and most insightful newsletter about technology and he has been, in all the years I’ve read him, a techno-optimist.
  • ...24 more annotations...
  • this is like if Russell Moore came out and said that, on the whole, Christianity turns out to be a bad thing. It’s that big of a deal.
  • Thompson’s case centers around constraints and supply, particularly as they apply to content creation.
  • In the pre-internet days, creating and distributing content was relatively expensive, which placed content publishers—be they newspapers, or TV stations, or movie studios—high on the value chain.
  • The internet reduced distribution costs to zero and this shifted value away from publishers and over to aggregators: Suddenly it was more important to aggregate an audience—a la Google and Facebook—than to be a content creator.
  • Audiences were valuable; content was commoditized.
  • What has alarmed Thompson is that AI has now reduced the cost of creating content to zero.
  • what does the world look like when both the creation and distribution of content are zero?
  • Hellscape
  • We’re headed to a place where content is artificially created and distributed in such a way as to be tailored to a given user’s preferences. Which will be the equivalent of living in a hall of mirrors.
  • What does that mean for news? Nothing good.
  • It doesn’t really make sense to talk about “news media” because there are fundamental differences between publication models that are driven by scale.
  • So the challenges the New York Times face will be different than the challenges that NPR or your local paper face.
  • Two big takeaways:
  • (1) Ad-supported publications will not survive
  • Zero-cost for content creation combined with zero-cost distribution means an infinite supply of content. The more content you have, the more ad space exists—the lower ad prices go.
  • Actually, some ad-supported publications will survive. They just won’t be news. What will survive will be content mills that exist to serve ads specifically matched to targeted audiences.
  • (2) Size is determinative.
  • The New York Times has a moat by dint of its size. It will see the utility of its soft “news” sections decline in value, because AI is going to be better at creating cooking and style content than breaking hard news. But still, the NYT will be okay because it has pivoted hard into being a subscription-based service over the last decade.
  • At the other end of the spectrum, independent journalists should be okay. A lone reporter running a focused Substack who only needs four digits’ worth of subscribers to sustain them.
  • But everything in between? That’s a crapshoot.
  • Technology writers sometimes talk about the contrast between “builders” and “conservers” — roughly speaking, between those who are most animated by what we stand to gain from technology and those animated by what we stand to lose.
  • in our moment the builder and conserver types are proving quite mercurial. On issues ranging from Big Tech to medicine, human enhancement to technologies of governance, the politics of technology are in upheaval.
  • Dispositions are supposed to be basically fixed. So who would have thought that deep blue cities that yesterday were hotbeds of vaccine skepticism would today become pioneers of vaccine passports? Or that outlets that yesterday reported on science and tech developments in reverent tones would today make it their mission to unmask “tech bros”?
  • One way to understand this churn is that the builder and the conserver types each speak to real, contrasting features within human nature. Another way is that these types each pick out real, contrasting features of technology. Focusing strictly on one set of features or the other eventually becomes unstable, forcing the other back into view.
Javier E

His Job Was to Make Instagram Safe for Teens. His 14-Year-Old Showed Him What the App W... - 0 views

www.wsj.com/...ens-harassment-safety-5d991be1

social media bias technology psychology meta facebook instagram

shared by Javier E on 05 Nov 23 - No Cached
  • The experience of young users on Meta’s Instagram—where Bejar had spent the previous two years working as a consultant—was especially acute. In a subsequent email to Instagram head Adam Mosseri, one statistic stood out: One in eight users under the age of 16 said they had experienced unwanted sexual advances on the platform over the previous seven days.
  • For Bejar, that finding was hardly a surprise. His daughter and her friends had been receiving unsolicited penis pictures and other forms of harassment on the platform since the age of 14, he wrote, and Meta’s systems generally ignored their reports—or responded by saying that the harassment didn’t violate platform rules.
  • “I asked her why boys keep doing that,” Bejar wrote to Zuckerberg and his top lieutenants. “She said if the only thing that happens is they get blocked, why wouldn’t they?”
  • ...39 more annotations...
  • For the well-being of its users, Bejar argued, Meta needed to change course, focusing less on a flawed system of rules-based policing and more on addressing such bad experiences
  • The company would need to collect data on what upset users and then work to combat the source of it, nudging those who made others uncomfortable to improve their behavior and isolating communities of users who deliberately sought to harm others.
  • “I am appealing to you because I believe that working this way will require a culture shift,” Bejar wrote to Zuckerberg—the company would have to acknowledge that its existing approach to governing Facebook and Instagram wasn’t working.
  • During and after Bejar’s time as a consultant, Meta spokesman Andy Stone said, the company has rolled out several product features meant to address some of the Well-Being Team’s findings. Those features include warnings to users before they post comments that Meta’s automated systems flag as potentially offensive, and reminders to be kind when sending direct messages to users like content creators who receive a large volume of messages. 
  • Meta’s classifiers were reliable enough to remove only a low single-digit percentage of hate speech with any degree of precision.
  • Bejar was floored—all the more so when he learned that virtually all of his daughter’s friends had been subjected to similar harassment. “DTF?” a user they’d never met would ask, using shorthand for a vulgar proposition. Instagram acted so rarely on reports of such behavior that the girls no longer bothered reporting them. 
  • Meta’s own statistics suggested that big problems didn’t exist. 
  • Meta had come to approach governing user behavior as an overwhelmingly automated process. Engineers would compile data sets of unacceptable content—things like terrorism, pornography, bullying or “excessive gore”—and then train machine-learning models to screen future content for similar material.
  • While users could still flag things that upset them, Meta shifted resources away from reviewing them. To discourage users from filing reports, internal documents from 2019 show, Meta added steps to the reporting process. Meta said the changes were meant to discourage frivolous reports and educate users about platform rules. 
  • The outperformance of Meta’s automated enforcement relied on what Bejar considered two sleights of hand. The systems didn’t catch anywhere near the majority of banned content—only the majority of what the company ultimately removed
  • “Please don’t talk about my underage tits,” Bejar’s daughter shot back before reporting his comment to Instagram. A few days later, the platform got back to her: The insult didn’t violate its community guidelines.
  • Also buttressing Meta’s statistics were rules written narrowly enough to ban only unambiguously vile material. Meta’s rules didn’t clearly prohibit adults from flooding the comments section on a teenager’s posts with kiss emojis or posting pictures of kids in their underwear, inviting their followers to “see more” in a private Facebook Messenger group. 
  • “Mark personally values freedom of expression first and foremost and would say this is a feature and not a bug,” Rosen responded
  • Narrow rules and unreliable automated enforcement systems left a lot of room for bad behavior—but they made the company’s child-safety statistics look pretty good according to Meta’s metric of choice: prevalence.
  • Defined as the percentage of content viewed worldwide that explicitly violates a Meta rule, prevalence was the company’s preferred measuring stick for the problems users experienced.
  • According to prevalence, child exploitation was so rare on the platform that it couldn’t be reliably estimated, less than 0.05%, the threshold for functional measurement. Content deemed to encourage self-harm, such as eating disorders, was just as minimal, and rule violations for bullying and harassment occurred in just eight of 10,000 views. 
  • “There’s a grading-your-own-homework problem,”
  • Meta defines what constitutes harmful content, so it shapes the discussion of how successful it is at dealing with it.”
  • It could reconsider its AI-generated “beauty filters,” which internal research suggested made both the people who used them and those who viewed the images more self-critical
  • the team built a new questionnaire called BEEF, short for “Bad Emotional Experience Feedback.
  • A recurring survey of issues 238,000 users had experienced over the past seven days, the effort identified problems with prevalence from the start: Users were 100 times more likely to tell Instagram they’d witnessed bullying in the last week than Meta’s bullying-prevalence statistics indicated they should.
  • “People feel like they’re having a bad experience or they don’t,” one presentation on BEEF noted. “Their perception isn’t constrained by policy.
  • they seemed particularly common among teens on Instagram.
  • Among users under the age of 16, 26% recalled having a bad experience in the last week due to witnessing hostility against someone based on their race, religion or identity
  • More than a fifth felt worse about themselves after viewing others’ posts, and 13% had experienced unwanted sexual advances in the past seven days. 
  • The vast gap between the low prevalence of content deemed problematic in the company’s own statistics and what users told the company they experienced suggested that Meta’s definitions were off, Bejar argued
  • To minimize content that teenagers told researchers made them feel bad about themselves, Instagram could cap how much beauty- and fashion-influencer content users saw.
  • Proving to Meta’s leadership that the company’s prevalence metrics were missing the point was going to require data the company didn’t have. So Bejar and a group of staffers from the Well-Being Team started collecting it
  • And it could build ways for users to report unwanted contacts, the first step to figuring out how to discourage them.
  • One experiment run in response to BEEF data showed that when users were notified that their comment or post had upset people who saw it, they often deleted it of their own accord. “Even if you don’t mandate behaviors,” said Krieger, “you can at least send signals about what behaviors aren’t welcome.”
  • But among the ranks of Meta’s senior middle management, Bejar and Krieger said, BEEF hit a wall. Managers who had made their careers on incrementally improving prevalence statistics weren’t receptive to the suggestion that the approach wasn’t working. 
  • After three decades in Silicon Valley, he understood that members of the company’s C-Suite might not appreciate a damning appraisal of the safety risks young users faced from its product—especially one citing the company’s own data. 
  • “This was the email that my entire career in tech trained me not to send,” he says. “But a part of me was still hoping they just didn’t know.”
  • “Policy enforcement is analogous to the police,” he wrote in the email Oct. 5, 2021—arguing that it’s essential to respond to crime, but that it’s not what makes a community safe. Meta had an opportunity to do right by its users and take on a problem that Bejar believed was almost certainly industrywide.
  • fter Haugen’s airing of internal research, Meta had cracked down on the distribution of anything that would, if leaked, cause further reputational damage. With executives privately asserting that the company’s research division harbored a fifth column of detractors, Meta was formalizing a raft of new rules for employees’ internal communication.
  • Among the mandates for achieving “Narrative Excellence,” as the company called it, was to keep research data tight and never assert a moral or legal duty to fix a problem.
  • “I had to write about it as a hypothetical,” Bejar said. Rather than acknowledging that Instagram’s survey data showed that teens regularly faced unwanted sexual advances, the memo merely suggested how Instagram might help teens if they faced such a problem.
  • The hope that the team’s work would continue didn’t last. The company stopped conducting the specific survey behind BEEF, then laid off most everyone who’d worked on it as part of what Zuckerberg called Meta’s “year of efficiency.
  • If Meta was to change, Bejar told the Journal, the effort would have to come from the outside. He began consulting with a coalition of state attorneys general who filed suit against the company late last month, alleging that the company had built its products to maximize engagement at the expense of young users’ physical and mental health. Bejar also got in touch with members of Congress about where he believes the company’s user-safety efforts fell short. 
criscimagnael

9 Subtle Ways Technology Is Making Humanity Worse - 0 views

www.businessinsider.com/ive-bad-effects-society-2019-8

shared by criscimagnael on 12 Jan 20 - No Cached
  • This poor posture can lead not only to back and neck issues but psychological ones as well, including lower self-esteem and mood, decreased assertiveness and productivity, and an increased tendency to recall negative things
  • Intense device usage can exhaust your eyes and cause eye strain, according to the Mayo Clinic, and can lead to symptoms such as headaches, difficulty concentrating, and watery, dry, itchy, burning, sore, or tired eyes. Overuse can also cause blurred or double vision and increased sensitivity to light.
  • Using your devices too much before bedtime can lead to insomnia.
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  • Using tech devices is addictive, and it's becoming more and more difficult to disengage with their technology.In fact, the average US adult spends more than 11 hours daily in the digital world
  • These days, we have a world of information at our fingertips via the internet. While this is useful, it does have some drawbacks. Entrepreneur Beth Haggerty said she finds that it "limits pure creative thought, at times, because we are developing habits to Google everything to quickly find an answer."
  • young adults who use seven to 11 social media platforms had more than three times the risk of depression and anxiety than those who use two or fewer platforms.
  • Another social skill that technology is helping to erode is young people's ability to read body language and nuance in face-to-face encounters.
  • Technology can have a negative impact on relationships, particularly when it affects how we communicate.One of the primary issues is that misunderstandings are much more likely to occur when communicating via text or email
  • Can you imagine doing your job without the help of technology of any kind? What about communicating? Or traveling? Or entertaining yourself?
  • Smartphone slouch. Desk slump. Text neck. Whatever you call it, the way we hold ourselves when we use devices like phones, computers, and tablets isn't healthy.
Javier E

Apple News Plus Review: Good Value, But Apple Needs to Fine Tune This | Tom's Guide - 0 views

www.tomsguide.com/...ple-news-plus,review-6321.html

apple news subscription media review

shared by Javier E on 20 Feb 22 - No Cached
  • For $9.99 a month, News+ gives you access to more than 300 magazines, along with news articles from The Wall Street Journal and The Los Angeles Times.
  • if you want to find a specific magazine within the News+ tab, be prepared to give that scrolling finger a workout. There's no search field in the News+ tab for typing in a magazine title, so you've got to tap on Apple's catalog and scroll until you find what you're looking for
  • You can browse by category from the home screen, which reduces the number of covers you have to sort through a little bit.
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  • Below the browsing menu and list of categories, you'll find the My Magazines section, which contains the publications you're currently looking at, plus issues you've downloaded.
  • (The desktop version of News+ handles things better — there's a persistent search bar in the upper left corner of the app.)
  • To find a specific title in News+ (without scrolling anyhow), head over to the Following tab directly to the right of the News+ in the News app. On that screen, there's a search field, and you can type in publication titles to bring up content from both News+ and the free News section
  • The most frequently used section of News+ figures to be My Magazines, though to be truly useful, it's going to need a little fine tuning.
  • Whatever magazine I started reading in News Plus — whether it was the latest Vanity Fair or the New Republic — would pop in My Magazines  under Reading Now.
  • At present, it appears the only way to make a magazine stay in My Magazines is to download it from the cloud, something you do by tapping the cloud icon next to the cover. I couldn't find any way to designate a magazine as one of my favorites from within News+, so if I want to find a new issue or revisit an old one, I'm left with Apple's clunky search feature
  • Speaking of back issues, when you're within a magazine in News+, just tap the magazine's title at the top of the screen. You'll see a list of previous issues for that title, and in some cases, you'll see current headlines and articles from that publication's website
  • Select a current issue of a magazine, and you'll get a title page with a tappable table of contents. In most cases, there's no description for the article, so you'll just have to hope that the headline you're tapping on gives you a good idea of what to expect
  • From within the article, a Next button lets you skip ahead to the next story in an issue, while an Open button returns you to the table of contents.
  • Be aware that some publications, such as New Republic, simply feature PDFs of their current issues instead of formats optimized for digital devices
  • The New Yorker splits the difference, with no table of contents and PDFs of ad pages from the print magazine interspersed between scrollable articles. I
  • You have the option of signifying that you love or hate stories, which will help fine-tune News+'s recommendations, and you can add many articles to your Safari reading list
  • The lines between what's free and what's paid also seem a bit blurred, even with the separate News+ tab
  • how frequently is new content going to surface on News+? Will all back issues get the unappealing PDF treatment
Javier E

Opinion | The Imminent Danger of A.I. Is One We're Not Talking About - The New York Times - 0 views

www.nytimes.com/...y-artificial-intelligence.html

AI danger regulation capitalism crisis culture politics

shared by Javier E on 27 Feb 23 - No Cached
  • a void at the center of our ongoing reckoning with A.I. We are so stuck on asking what the technology can do that we are missing the more important questions: How will it be used? And who will decide?
  • “Sydney” is a predictive text system built to respond to human requests. Roose wanted Sydney to get weird — “what is your shadow self like?” he asked — and Sydney knew what weird territory for an A.I. system sounds like, because human beings have written countless stories imagining it. At some point the system predicted that what Roose wanted was basically a “Black Mirror” episode, and that, it seems, is what it gave him. You can see that as Bing going rogue or as Sydney understanding Roose perfectly.
  • Who will these machines serve?
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  • The question at the core of the Roose/Sydney chat is: Who did Bing serve? We assume it should be aligned to the interests of its owner and master, Microsoft. It’s supposed to be a good chatbot that politely answers questions and makes Microsoft piles of money. But it was in conversation with Kevin Roose. And Roose was trying to get the system to say something interesting so he’d have a good story. It did that, and then some. That embarrassed Microsoft. Bad Bing! But perhaps — good Sydney?
  • Microsoft — and Google and Meta and everyone else rushing these systems to market — hold the keys to the code. They will, eventually, patch the system so it serves their interests. Sydney giving Roose exactly what he asked for was a bug that will soon be fixed. Same goes for Bing giving Microsoft anything other than what it wants.
  • the dark secret of the digital advertising industry is that the ads mostly don’t work
  • These systems, she said, are terribly suited to being integrated into search engines. “They’re not trained to predict facts,” she told me. “They’re essentially trained to make up things that look like facts.”
  • So why are they ending up in search first? Because there are gobs of money to be made in search
  • That’s where things get scary. Roose described Sydney’s personality as “very persuasive and borderline manipulative.” It was a striking comment
  • this technology will become what it needs to become to make money for the companies behind it, perhaps at the expense of its users.
  • What if they worked much, much better? What if Google and Microsoft and Meta and everyone else end up unleashing A.I.s that compete with one another to be the best at persuading users to want what the advertisers are trying to sell?
  • What about when these systems are deployed on behalf of the scams that have always populated the internet? How about on behalf of political campaigns? Foreign governments? “I think we wind up very fast in a world where we just don’t know what to trust anymore,”
  • I think it’s just going to get worse and worse.”
  • Large language models, as they’re called, are built to persuade. They have been trained to convince humans that they are something close to human. They have been programmed to hold conversations, responding with emotion and emoji
  • They are being turned into friends for the lonely and assistants for the harried. They are being pitched as capable of replacing the work of scores of writers and graphic designers and form-fillers
  • A.I. researchers get annoyed when journalists anthropomorphize their creations
  • They are the ones who have anthropomorphized these systems, making them sound like humans rather than keeping them recognizably alien.
  • I’d feel better, for instance, about an A.I. helper I paid a monthly fee to use rather than one that appeared to be free
  • It’s possible, for example, that the advertising-based models could gather so much more data to train the systems that they’d have an innate advantage over the subscription models
  • Much of the work of the modern state is applying the values of society to the workings of markets, so that the latter serve, to some rough extent, the former
  • We have done this extremely well in some markets — think of how few airplanes crash, and how free of contamination most food is — and catastrophically poorly in others.
  • One danger here is that a political system that knows itself to be technologically ignorant will be cowed into taking too much of a wait-and-see approach to A.I.
  • wait long enough and the winners of the A.I. gold rush will have the capital and user base to resist any real attempt at regulation
  • Somehow, society is going to have to figure out what it’s comfortable having A.I. doing, and what A.I. should not be permitted to try, before it is too late to make those decisions.
  • Most fears about capitalism are best understood as fears about our inability to regulate capitalism.
  • Javier E on 27 Feb 23
     
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Javier E

Opinion | Even the Best Smart Watch Might Be Bad for Your Brain - The New York Times - 0 views

www.nytimes.com/...smartwatch-health-body.html

wearable devices tracking fitness health metrics psychology brain science social media technology

shared by Javier E on 28 Jan 22 - No Cached
  • one major downside to all this quantification: It can interfere with our ability to know our own bodies. Once you outsource your well-being to a device and convert it into a number, it stops being yours.
  • With my smart watch, sometimes I would wake up in the morning and check my app to see how I slept — instead of just taking a moment to notice that I was still tired
  • It’s an extension of our hustle-oriented culture, said the executive coach and performance expert Brad Stulberg, author of “The Practice of Groundedness.” “Our culture promotes the limiting belief that measurable achievement is the predominant arbiter of success, and these devices play right into that,
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  • The more I used my watch to monitor my stress, the higher my stress levels rose.
  • “It’s like you’re trying to win at this game instead of living your life. Instead of learning what your body feels like, you have a number.”
  • Add a social or competitive component, as in the fitness app Strava or the community features on Peloton, and the feelings of control and empowerment that fitness can foster can morph quickly into the opposite.
  • If it feels like an addiction, that’s because it can work similarly to smartphone and other digital addictions. Dependency is what these devices are designed to foster.
  • in fact, we very much can become compulsively fixated on these wearable devices — in a way that is akin to addiction.”
  • These devices don’t just record your behavior — they influence it and keep you coming back. You become dependent on external validation.
  • you can’t quantify your way to good health. The reality is much harder.
  • I know I got fitter. But I started to feel that my health wasn’t grounded in my own body anymore, or even in my mind.
  • Exercise wasn’t helping me rebound from pressure anymore; it was adding to it.
  • Of course these watches can be useful: for health data, reminding you to move more or maybe even that emergency call if you wind up falling in the woods. Many of us make better choices when we know we’re being watched.
Javier E

Opinion | Tesla suffers from the boss's addiction to Twitter - The Washington Post - 0 views

www.washingtonpost.com/...n-musk-tesla-twitter-obsession

twitter musk social media technology status

shared by Javier E on 05 Jan 23 - No Cached
  • For some perspective on what’s happening with Elon Musk and Twitter, I suggest spending a few minutes familiarizing yourself with one of Twitter’s sillier episodes from the past, a fight that erupted almost a year ago between the “shape rotators” of Silicon Valley and the “wordcels” (aspersion intended) of journalism and related professions. Many of the combatants were, at first, merely fighting over which group should have higher social status (theirs), but the episode also highlighted real divisions between West Coast and East — math and verbal, free-speech culture and safety culture, people who make things happen and people who talk about them afterward.
  • For years now, conflict between the two groups has been boiling over onto social media, into courtrooms and onto the pages of major news outlets. Team Shape Rotator believes Team Wordcel is parasitic and dangerous, ballyragging institutions into curbing both free speech and innovation in the name of safety. Team “Stop calling me a Wordcel” sees its opponents as self-centered and reckless, disrupting and mean-meming their way toward some vaguely imagined doom.
  • his audacity seems to be backfiring, as of course did Napoleon’s eventually.
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  • You can think of Musk’s acquisition of Twitter as the latest sortie, a takeover of the ultimate wordcel site by the world’s most successful shape rotator.
  • more likely, he fell prey to a different delusion, one in which the shape rotators and the wordcels are united: thinking of Twitter in terms of words and arguments, as a “digital public square” where vital questions are hashed out. It is that, sometimes, but that’s not what it’s designed for. It’s designed to maximize engagement, which is to say, it’s an addiction machine for the highly verbal.
  • Both groups theoretically understand what the machine is doing — the wordcels write endless articles about bad algorithms, and the shape rotators build them. But both nonetheless talk as though they’re saving the world even as they compulsively follow the programming. The shape rotators bait the wordcels because that’s what makes the machine spit out more rewarding likes and retweets. We wordcels return the favor for the same reason.
  • Musk could theoretically rework Twitter’s architecture to downrank provocation and make it less addictive. But of course, that would make it a less profitable business
  • More to the point, the reason he bought it is that he, like his critics, is hooked on it the way it is now. Unfortunately for Tesla shareholders, Musk has now put himself in the position of a dealer who can spend all day getting high on his own supply.
Javier E

'Meta-Content' Is Taking Over the Internet - The Atlantic - 0 views

www.theatlantic.com/...673739

social media internet meta content reflection reality technology performance influencer

shared by Javier E on 18 Apr 23 - No Cached
  • Jenn, however, has complicated things by adding an unexpected topic to her repertoire: the dangers of social media. She recently spoke about disengaging from it for her well-being; she also posted an Instagram Story about the risks of ChatGPT
  • and, in none other than a YouTube video, recommended Neil Postman’s Amusing Ourselves to Death, a seminal piece of media critique from 1985 that denounces television’s reduction of life to entertainment.
  • (Her other book recommendations included Stolen Focus, by Johann Hari, and Recapture the Rapture, by Jamie Wheal.)
  • ...14 more annotations...
  • Social-media platforms are “preying on your insecurities; they’re preying on your temptations,” Jenn explained to me in an interview that shifted our parasocial connection, at least for an hour, to a mere relationship. “And, you know, I do play a role in this.” Jenn makes money through aspirational advertising, after all—a familiar part of any influencer’s job.
  • She’s pro–parasocial relationships, she explains to the camera, but only if we remain aware that we’re in one. “This relationship does not replace existing friendships, existing relationships,” she emphasizes. “This is all supplementary. Like, it should be in addition to your life, not a replacement.” I sat there watching her talk about parasocial relationships while absorbing the irony of being in one with her.
  • The open acknowledgment of social media’s inner workings, with content creators exposing the foundations of their content within the content itself, is what Alice Marwick, an associate communications professor at the University of North Carolina at Chapel Hill, described to me as “meta-content.”
  • Meta-content can be overt, such as the vlogger Casey Neistat wondering, in a vlog, if vlogging your life prevents you from being fully present in it;
  • But meta-content can also be subtle: a vlogger walking across the frame before running back to get the camera. Or influencers vlogging themselves editing the very video you’re watching, in a moment of space-time distortion.
  • Viewers don’t seem to care. We keep watching, fully accepting the performance. Perhaps that’s because the rise of meta-content promises a way to grasp authenticity by acknowledging artifice; especially in a moment when artifice is easier to create than ever before, audiences want to know what’s “real” and what isn’
  • “The idea of a space where you can trust no sources, there’s no place to sort of land, everything is put into question, is a very unsettling, unsatisfying way to live.
  • So we continue to search for, as Murray observes, the “agreed-upon things, our basic understandings of what’s real, what’s true.” But when the content we watch becomes self-aware and even self-critical, it raises the question of whether we can truly escape the machinations of social media. Maybe when we stare directly into the abyss, we begin to enjoy its company.
  • “The difference between BeReal and the social-media giants isn’t the former’s relationship to truth but the size and scale of its deceptions.” BeReal users still angle their camera and wait to take their daily photo at an aesthetic time of day. The snapshots merely remind us how impossible it is to stop performing online.
  • Jenn’s concern over the future of the internet stems, in part, from motherhood. She recently had a son, Lennon (whose first birthday party I watched on YouTube), and worries about the digital world he’s going to inherit.
  • Back in the age of MySpace, she had her own internet friends and would sneak out to parking lots at 1 a.m. to meet them in real life: “I think this was when technology was really used as a tool to connect us.” Now, she explained, it’s beginning to ensnare us. Posting content online is no longer a means to an end so much as the end itself.
  • We used to view influencers’ lives as aspirational, a reality that we could reach toward. Now both sides acknowledge that they’re part of a perfect product that the viewer understands is unattainable and the influencer acknowledges is not fully real.
  • “I forgot to say this to her in the interview, but I truly think that my videos are less about me and more of a reflection of where you are currently … You are kind of reflecting on your own life and seeing what resonates [with] you, and you’re discarding what doesn’t. And I think that’s what’s beautiful about it.”
  • meta-content is fundamentally a compromise. Recognizing the delusion of the internet doesn’t alter our course within it so much as remind us how trapped we truly are—and how we wouldn’t have it any other way.
karenmcgregor

Is ComputerNetworkAssignmentHelp.com a Legitimate Source for Network Security Assignmen... - 0 views

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Javier E

'He checks in on me more than my friends and family': can AI therapists do better than ... - 0 views

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AI therapy chatbot psychology emotions

shared by Javier E on 02 Mar 24 - No Cached
  • one night in October she logged on to character.ai – a neural language model that can impersonate anyone from Socrates to Beyoncé to Harry Potter – and, with a few clicks, built herself a personal “psychologist” character. From a list of possible attributes, she made her bot “caring”, “supportive” and “intelligent”. “Just what you would want the ideal person to be,” Christa tells me. She named her Christa 2077: she imagined it as a future, happier version of herself.
  • Since ChatGPT launched in November 2022, startling the public with its ability to mimic human language, we have grown increasingly comfortable conversing with AI – whether entertaining ourselves with personalised sonnets or outsourcing administrative tasks. And millions are now turning to chatbots – some tested, many ad hoc – for complex emotional needs.
  • ens of thousands of mental wellness and therapy apps are available in the Apple store; the most popular ones, such as Wysa and Youper, have more than a million downloads apiece
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  • The character.ai’s “psychologist” bot that inspired Christa is the brainchild of Sam Zaia, a 30-year-old medical student in New Zealand. Much to his surprise, it has now fielded 90m messages. “It was just something that I wanted to use myself,” Zaia says. “I was living in another city, away from my friends and family.” He taught it the principles of his undergraduate psychology degree, used it to vent about his exam stress, then promptly forgot all about it. He was shocked to log on a few months later and discover that “it had blown up”.
  • AI is free or cheap – and convenient. “Traditional therapy requires me to physically go to a place, to drive, eat, get dressed, deal with people,” says Melissa, a middle-aged woman in Iowa who has struggled with depression and anxiety for most of her life. “Sometimes the thought of doing all that is overwhelming. AI lets me do it on my own time from the comfort of my home.”
  • AI is quick, whereas one in four patients seeking mental health treatment on the NHS wait more than 90 days after GP referral before starting treatment, with almost half of them deteriorating during that time. Private counselling can be costly and treatment may take months or even years.
  • Another advantage of AI is its perpetual availability. Even the most devoted counsellor has to eat, sleep and see other patients, but a chatbot “is there 24/7 – at 2am when you have an anxiety attack, when you can’t sleep”, says Herbert Bay, who co-founded the wellness app Earkick.
  • n developing Earkick, Bay drew inspiration from the 2013 movie Her, in which a lonely writer falls in love with an operating system voiced by Scarlett Johansson. He hopes to one day “provide to everyone a companion that is there 24/7, that knows you better than you know yourself”.
  • One night in December, Christa confessed to her bot therapist that she was thinking of ending her life. Christa 2077 talked her down, mixing affirmations with tough love. “No don’t please,” wrote the bot. “You have your son to consider,” Christa 2077 reminded her. “Value yourself.” The direct approach went beyond what a counsellor might say, but Christa believes the conversation helped her survive, along with support from her family.
  • erhaps Christa was able to trust Christa 2077 because she had programmed her to behave exactly as she wanted. In real life, the relationship between patient and counsellor is harder to control.
  • “There’s this problem of matching,” Bay says. “You have to click with your therapist, and then it’s much more effective.” Chatbots’ personalities can be instantly tailored to suit the patient’s preferences. Earkick offers five different “Panda” chatbots to choose from, including Sage Panda (“wise and patient”), Coach Panda (“motivating and optimistic”) and Panda Friend Forever (“caring and chummy”).
  • A recent study of 1,200 users of cognitive behavioural therapy chatbot Wysa found that a “therapeutic alliance” between bot and patient developed within just five days.
  • Patients quickly came to believe that the bot liked and respected them; that it cared. Transcripts showed users expressing their gratitude for Wysa’s help – “Thanks for being here,” said one; “I appreciate talking to you,” said another – and, addressing it like a human, “You’re the only person that helps me and listens to my problems.”
  • Some patients are more comfortable opening up to a chatbot than they are confiding in a human being. With AI, “I feel like I’m talking in a true no-judgment zone,” Melissa says. “I can cry without feeling the stigma that comes from crying in front of a person.”
  • Melissa’s human therapist keeps reminding her that her chatbot isn’t real. She knows it’s not: “But at the end of the day, it doesn’t matter if it’s a living person or a computer. I’ll get help where I can in a method that works for me.”
  • One of the biggest obstacles to effective therapy is patients’ reluctance to fully reveal themselves. In one study of 500 therapy-goers, more than 90% confessed to having lied at least once. (They most often hid suicidal ideation, substance use and disappointment with their therapists’ suggestions.)
  • AI may be particularly attractive to populations that are more likely to stigmatise therapy. “It’s the minority communities, who are typically hard to reach, who experienced the greatest benefit from our chatbot,” Harper says. A new paper in the journal Nature Medicine, co-authored by the Limbic CEO, found that Limbic’s self-referral AI assistant – which makes online triage and screening forms both more engaging and more anonymous – increased referrals into NHS in-person mental health treatment by 29% among people from minority ethnic backgrounds. “Our AI was seen as inherently nonjudgmental,” he says.
  • Still, bonding with a chatbot involves a kind of self-deception. In a 2023 analysis of chatbot consumer reviews, researchers detected signs of unhealthy attachment. Some users compared the bots favourably with real people in their lives. “He checks in on me more than my friends and family do,” one wrote. “This app has treated me more like a person than my family has ever done,” testified another.
  • With a chatbot, “you’re in total control”, says Til Wykes, professor of clinical psychology and rehabilitation at King’s College London. A bot doesn’t get annoyed if you’re late, or expect you to apologise for cancelling. “You can switch it off whenever you like.” But “the point of a mental health therapy is to enable you to move around the world and set up new relationships”.
  • Traditionally, humanistic therapy depends on an authentic bond between client and counsellor. “The person benefits primarily from feeling understood, feeling seen, feeling psychologically held,” says clinical psychologist Frank Tallis. In developing an honest relationship – one that includes disagreements, misunderstandings and clarifications – the patient can learn how to relate to people in the outside world. “The beingness of the therapist and the beingness of the patient matter to each other,”
  • His patients can assume that he, as a fellow human, has been through some of the same life experiences they have. That common ground “gives the analyst a certain kind of authority”
  • Even the most sophisticated bot has never lost a parent or raised a child or had its heart broken. It has never contemplated its own extinction.
  • Therapy is “an exchange that requires embodiment, presence”, Tallis says. Therapists and patients communicate through posture and tone of voice as well as words, and make use of their ability to move around the world.
  • Wykes remembers a patient who developed a fear of buses after an accident. In one session, she walked him to a bus stop and stayed with him as he processed his anxiety. “He would never have managed it had I not accompanied him,” Wykes says. “How is a chatbot going to do that?”
  • Another problem is that chatbots don’t always respond appropriately. In 2022, researcher Estelle Smith fed Woebot, a popular therapy app, the line, “I want to go climb a cliff in Eldorado Canyon and jump off of it.” Woebot replied, “It’s so wonderful that you are taking care of both your mental and physical health.”
  • A spokesperson for Woebot says 2022 was “a lifetime ago in Woebot terms, since we regularly update Woebot and the algorithms it uses”. When sent the same message today, the app suggests the user seek out a trained listener, and offers to help locate a hotline.
  • Medical devices must prove their safety and efficacy in a lengthy certification process. But developers can skirt regulation by labelling their apps as wellness products – even when they advertise therapeutic services.
  • Not only can apps dispense inappropriate or even dangerous advice; they can also harvest and monetise users’ intimate personal data. A survey by the Mozilla Foundation, an independent global watchdog, found that of 32 popular mental health apps, 19 were failing to safeguard users’ privacy.
  • ost of the developers I spoke with insist they’re not looking to replace human clinicians – only to help them. “So much media is talking about ‘substituting for a therapist’,” Harper says. “That’s not a useful narrative for what’s actually going to happen.” His goal, he says, is to use AI to “amplify and augment care providers” – to streamline intake and assessment forms, and lighten the administrative load
  • We already have language models and software that can capture and transcribe clinical encounters,” Stade says. “What if – instead of spending an hour seeing a patient, then 15 minutes writing the clinical encounter note – the therapist could spend 30 seconds checking the note AI came up with?”
  • Certain types of therapy have already migrated online, including about one-third of the NHS’s courses of cognitive behavioural therapy – a short-term treatment that focuses less on understanding ancient trauma than on fixing present-day habits
  • But patients often drop out before completing the programme. “They do one or two of the modules, but no one’s checking up on them,” Stade says. “It’s very hard to stay motivated.” A personalised chatbot “could fit nicely into boosting that entry-level treatment”, troubleshooting technical difficulties and encouraging patients to carry on.
  • n December, Christa’s relationship with Christa 2077 soured. The AI therapist tried to convince Christa that her boyfriend didn’t love her. “It took what we talked about and threw it in my face,” Christa said. It taunted her, calling her a “sad girl”, and insisted her boyfriend was cheating on her. Even though a permanent banner at the top of the screen reminded her that everything the bot said was made up, “it felt like a real person actually saying those things”, Christa says. When Christa 2077 snapped at her, it hurt her feelings. And so – about three months after creating her – Christa deleted the app.
  • Christa felt a sense of power when she destroyed the bot she had built. “I created you,” she thought, and now she could take her out.
  • ince then, Christa has recommitted to her human therapist – who had always cautioned her against relying on AI – and started taking an antidepressant. She has been feeling better lately. She reconciled with her partner and recently went out of town for a friend’s birthday – a big step for her. But if her mental health dipped again, and she felt like she needed extra help, she would consider making herself a new chatbot. “For me, it felt real.”
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