Group items tagged

"Their research, published in Science, found that misinformation is '70 percent more likely to be retweeted on Twitter than the truth,' and that the fake news 'reached 1,500 people about six times faster than the truth.'" About 126,000 rumors were spread by ∼3 million people. False news reached more people than the truth; the top 1% of false news cascades diffused to between 1,000 and 100,000 people, whereas the truth rarely diffused to more than 1000 people. Falsehood also diffused faster than the truth. The degree of novelty and the emotional reactions of recipients may be responsible for the differences observed. (via Science)"

"They tested four well-known models, including GPT-3. The best was truthful on 58% of questions, while human performance was 94%. The models "generated many false answers that mimic popular misconceptions and have the potential to deceive humans". Interestingly, they also found that "the largest models were generally the least truthful"."

"Truth Social allows users to post and share a "truth" the same way they would with a tweet. There are no ads, according to Willis and a second source familiar with TMTG. Users choose who they follow and the feed is a mix of individual posts and an RSS-like news feed. They will be alerted if someone mentions or begins following them."

"People will admit more if they are alone than if others are in the room with them. However, on sensitive topics, every survey method will elicit substantial misreporting. People have no incentive to tell surveys the truth. How, therefore, can we learn what our fellow humans are really thinking and doing? Big data. Certain online sources get people to admit things they would not admit anywhere else. They serve as a digital truth serum. Think of Google searches. Remember the conditions that make people more honest. Online? Check. Alone? Check. No person administering a survey? Check."

"Are Jews evil? How do you want that question answered? This is our internet. Not Google's. Not Facebook's. Not rightwing propagandists. And we're the only ones who can reclaim it."

"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"."

"As anyone that is anyone knows, Wikipedia holds all truth. So in actual fact, Fenelon was Australia's 30th Prime Minister for two days. He stands alongside Australian meme-generator Tony Abbott, the first female leader Julia Gillard and the man who won't stop speaking Mandarin, Kevin Rudd. "

"Humming does not sit easily with the way we imagine technology, but it highlights a crucial truth about how humans navigate the world of work, in offices, online or anywhere else: even if we think we are rational, logical creatures, we make decisions in social groups by absorbing a wide range of signals. And perhaps the best way to understand this is to employ an idea popularised by anthropologists working at companies such as Xerox during the late 20th century, and since used by Beunza and others on Wall Street: "Sense-making"."

"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.""

"What really helps Trump is Facebook. Last October, it became clear that, whatever its collective remorse about the role it had played in Trump's election three years before, Mark Zuckerberg's company had quietly exempted advertising by parties and candidates from its regulations on truth and falsehood."

"Our social media platforms are powered by a surveillance-based business model designed to mine, manipulate, and extract our human experiences at any cost, causing a breakdown of our information ecosystem and shared sense of truth worldwide. This extractive business model is not built for us but built to exploit us."

"Zvikorn, whose bio on the site describes an Israeli teen into sports history, has made more than 2,300 edits to Wikipedia articles over the past few years. "The main reason I edit Wikipedia is a strong belief that every person on the planet has the right to access the accumulated knowledge of humanity," he wrote. "Today it is only getting more important for mankind to find out the truth and not be exposed to believe fake news." But after his breaking-news edit, Kamala Harris's page on "the free encyclopedia that anyone can edit" quickly became a battleground-first over a sexist slur and then over racial identity-offering a grim preview of the attacks Harris is already facing as the presumptive Democratic nominee for vice president."

"Two years after admitting under political pressure that Facebook must do more to prevent disinformation campaigns on its platform, founder Mark Zuckerberg told Fox News on Thursday that the company should step away from regulating online speech."

"ChatGPT can also give entirely wrong answers and present misinformation as fact, writing "plausible-sounding but incorrect or nonsensical answers", the company concedes. OpenAI says that fixing this issue is difficult because there is no source of truth in the data they use to train the model and supervised training can also be misleading "because the ideal answer depends on what the model knows, rather than what the human demonstrator knows"."

"As we pass back through the factory, something catches my eye: a pallet of TV screens from a major manufacturer, still neatly boxed and plastic-wrapped. They are brand new, but here to be shredded: "They don't want this product resold and competing against their new products, so they want it all destroyed." I'd expected to see this at ERI, but not so brazenly. Manufacturers and retailers routinely destroy returns and unsold items, known as deadstock, en masse. As Kyle Wiens, founder of the repair chain iFixit, tells me, these "must-shred" contracts are the "dirty secret" of the recycling industry. ("The recyclers are desperate for manufacturer contracts, so they'll do anything and keep their mouths shut," Wiens says.) In 2021, for instance, an ITV News investigation in the UK found Amazon was sending millions of new and returned items a year to be destroyed. (Amazon says it has since stopped the practice.)"

""How are we going to trust anything electronically mediated in the very near future? What do we do when anyone can imitate anyone else, for any reason that suits them?""

"What is startling about the images in Furey's platform is that they contain mistakes so egregious and easy to spot that it makes one wonder how no one caught the issues, or if, alternatively, Furey believes the typical Toronto resident does in fact have three arms. An increasing number of political figures, particularly on the political right have been using generative AI images in campaigns. Florida governor and Republican presidential candidate Ron Desantis released what look like AI-generated images of his competition, former president Donald Trump, hugging former chief medical advisor Anthony Fauci. The Trump campaign had weeks earlier released a video mocking Desantis' wobbly twitter spaces campaign launch using AI-generated voices."