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"Russia's online trolling operation is becoming increasingly decentralised and is gaining "incredible traction" on TikTok with misinformation aimed at sowing doubt over events in Ukraine, a US social media researcher has warned."

"Shoppers are being deceived because social media platforms and messaging apps are not doing enough to prevent a "cottage industry of fraudsters" soliciting fake reviews, according to Amazon. Fake reviews have become one of the most persistent scourges of online retailers, and some analysts think that about one in seven reviews in the UK are not the real deal, with blame often directed at groups that proliferate on Facebook. Last year Amazon alone blocked 200m fake reviews. Dharmesh Mehta, head of the company's customer trust team, said this avalanche of misinformation was harming consumers, who were being "deceived about what products they should or shouldn't be buying"."

"Their tools analyze content using sophisticated algorithms, picking up on subtle signals to distinguish the images made with computers from the ones produced by human photographers and artists. But some tech leaders and misinformation experts have expressed concern that advances in A.I. will always stay a step ahead of the tools. To assess the effectiveness of current A.I.-detection technology, The New York Times tested five new services using more than 100 synthetic images and real photos. The results show that the services are advancing rapidly, but at times fall short."

"The reasons for this "bot holiday", as Fisman calls it, are probably varied - but many of them point to the Russian invasion of Ukraine. Russia's information war with western nations seems to be pivoting to new fronts, from vaccines to geopolitics."

"Super-charged misinformation and the atrophy of human intelligence. By regurgitating information that is already on the internet, generative models cannot decide what is a good thing to tell a human and will repeat past mistakes made by humans, of which there are plenty."

"The question of why AI generates fake academic papers relates to how large language models work: they are probabilistic, in that they map the probability over sequences of words. As Dr David Smerdon of the University of Queensland puts it: "Given the start of a sentence, it will try to guess the most likely words to come next.""

"It remains possible, however, that the true costs of social-media anxieties are harder to tabulate. Gentzkow told me that, for the period between 2016 and 2020, the direct effects of misinformation were difficult to discern. "But it might have had a much larger effect because we got so worried about it-a broader impact on trust," he said. "Even if not that many people were exposed, the narrative that the world is full of fake news, and you can't trust anything, and other people are being misled about it-well, that might have had a bigger impact than the content itself." Nyhan had a similar reaction. "There are genuine questions that are really important, but there's a kind of opportunity cost that is missed here. There's so much focus on sweeping claims that aren't actionable, or unfounded claims we can contradict with data, that are crowding out the harms we can demonstrate, and the things we can test, that could make social media better." He added, "We're years into this, and we're still having an uninformed conversation about social media. It's totally wild.""

"Claims that artificial intelligence will help solve the climate crisis are misguided, with the technology instead likely cause rising energy use and turbocharge the spread of climate disinformation, a coalition of environmental groups has warned. Advances in AI have been touted by big tech companies and the United Nations as a way to help ameliorate global heating, via tools that help track deforestation, identify pollution leaks and track extreme weather events. AI is already being used to predict droughts in Africa and to measure changes to melting icebergs."

"A series of senior European MPs have been approached in recent days by individuals who appear to be using deepfake filters to imitate Russian opposition figures during video calls. Those tricked include Rihards Kols, who chairs the foreign affairs committee of Latvia's parliament, as well as MPs from Estonia and Lithuania. Tom Tugendhat, the chair of the UK foreign affairs select committee, has also said he was targeted."

"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."

"When researchers looked at data measuring respondents' online behaviour, those with inflated perceptions of their abilities more frequently visited websites linked to the spread of false or misleading news. The overconfident participants were also less able to distinguish between true and false claims about current events and reported higher willingness to share false content, especially when it aligned with their political predispositions, the authors found."

""It's really easy to lose track on social media," Bowman said. "And most people are not on Twitter, but this stuff percolates on to Facebook, WhatsApp chats, everywhere." The ambition, Ritchie says, is not "for Toby Young to tweet, actually I was wrong. They're in an ideological system where they're not interested in a real debate. It's for the person who hears someone say something bizarre, and thinks, I don't know how to reply to that.""

"But today that universe seeks and surrounds you. When you first join Facebook you make a few choices of your own. But soon the algorithm starts narrowing your options and deciding what further choices to present to you. Because many of us rely on a limited number of news sources that populate our social media feeds, our information universe becomes more and more niche. For Trump supporters, that universe is often paramilitary."

"A Chinese bot network played a key role in spreading disinformation during and after the US election, including a debunked video of "ballot burning" shared by Eric Trump, a new study reveals. The misleading video shows a man filming himself on Virginia Beach, allegedly burning votes cast for Donald Trump. The ballots were actually samples. The clip went viral after Trump's son Eric posted it a day later on his official Twitter page, where it got more than 1.2m views."

"Employees worry that, should Signal fail to build policies and enforcement mechanisms to identify and remove bad actors, the fallout could bring more negative attention to encryption technologies from regulators at a time when their existence is threatened around the world. "The world needs products like Signal - but they also need Signal to be thoughtful," said Gregg Bernstein, a former user researcher who left the organization this month over his concerns. "It's not only that Signal doesn't have these policies in place. But they've been resistant to even considering what a policy might look like.""

""The code reasonably attempts to address the bargaining power imbalance between digital platforms and Australian news businesses," he said. Google's search engine not as good as its competitors for news, research finds Read more "It also recognises the important role search plays, not only to consumers but to the thousands of Australian small businesses that rely on search and advertising technology to fund and support their organisations." The code, which is currently before the parliament, would facilitate negotiations between media companies and digital platforms - currently just Facebook and Google - for payment for content. If an agreement cannot be reached, then it goes to an arbiter for resolution."

""We have evidence that applying these informs to posts decreases their reshares by ~8%," a Facebook data scientist told BuzzFeed. "However given that Trump has SO many shares on any given post, the decrease is not going to change shares by orders of magnitude.""

"Researchers showed detectors can be defeated by inserting inputs called adversarial examples into every video frame. The adversarial examples are slightly manipulated inputs which cause artificial intelligence systems such as machine learning models to make a mistake. In addition, the team showed that the attack still works after videos are compressed."