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A popular left-wing Twitter account with thousands of followers, which often went viral and provoked the outrage of leading conservatives, may have been a fake all along, according to online researchers, using a provocative posts to generation attention in a tactic known as “rage-baiting.” Erica Marsh, a self-proclaimed “proud Democrat” from Washington, started her Twitter account in September of 2022, and quickly gained more than 130,000 followers, sometimes netting over 1,000 followers a day posting her quick-twitch takes on the day’s main political news. Her messages often read like a near-parody of an over-the-top, out-of-touch progressive. In a 29 June post, reacting to the recent Supreme Court decision striking down race-based affirmative action in college admissions, she wrote, “Today’s Supreme Court decision is a direct attack on Black people. No Black person will be able to succeed in a merit-based system which is exactly why affirmative-action based programs were needed. Today’s decision is a TRAVESTY!!!” The tweet quickly caught fire online, provoking the ire of leaders like Florida congressman Matt Gaetz, who told his followers, “I strongly disagree with this racist allegation.” However, despite her ability to win followers and stir the pot and attract online attention, Ms Marsh may never have been real, according to an analysis from The Washington Post. Ms Marsh doesn’t appear in phone or voting records, and past employers she claimed like the Biden campaign say they have no record of her. “I strongly suspect that this person doesn’t exist,” John Scott-Railton, a senior researcher at the Citizen Lab at the University of Toronto, told the paper. “It’s as if she dropped from the moon and arrived fully formed with this narrative that makes liberals look like idiots.” Twitter officially does not comment on press requests, and Ms Marsh’s account has been suspended. Before buying the social media site last year, Elon Musk argued fake accounts were a serious problem on Twitter, at one point threatening not to carry out his acquisition over the matter. Twitter said last July it removes over 1 million fake accounts per day. Fakes have been a persistent issue. In November, the company temporarily suspended its Twitter Blue subscription service, after users bought Twitter verification status and used it to impersonate celebrities, politicians and brands. Read More ‘Rate limits’ and Twitter chaos: What exactly is Elon Musk doing? Elon Musk supports eliminating voting rights for people without children Greg Abbott mocked after falling for hoax story about Garth Brooks being booed off stage Judge blocks Biden agencies from communicating with social media platforms Elon Musk supports eliminating voting rights for people without children Outrage erupts in South Africa over video of deputy president's security officers stomping on man

Sales of Square Enix Holdings Co.’s new Final Fantasy game tumbled during the second week after its release,

Keep up with all the results of Call of Duty League Champs here to see which of the eight best CDL teams become 2023 Modern Warfare 2 World Champions.

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Scientists have discovered a way to test whether someone is diabetic by having them speak just a few sentences into their smartphone. A team from US-based Klick Labs created an AI model capable of distinguishing whether a person has Type 2 diabetes from six to 10 seconds of voice audio, with tests revealing an 89 per cent accuracy rate for women and 86 per cent for men. “Our research highlights significant vocal variations between individuals with and without Type 2 diabetes and could transform how the medical community screens for diabetes,” said Jaycee Kaufman, a research scientist at Klick Labs. “Current methods of detection can require a lot of time, travel and cost. Voice technology has the potential to remove these barriers entirely.” The study involved analysing 18,000 recordings in order to identify acoustic features that differentiated non diabetics from diabetics. Using signal processing, they were able to detect subtle changes in pitch and intensity that are imperceptible to the human ear. The tool could prove useful for the estimated 240 million adults around the world who are currently living with the condition without realising, according to figures from the International Diabetes Federation. The latest research demonstrates the ever-growing role AI plays in healthcare, with the convergence of machine learning models, data science helping to improve patient treatment and assisting medical discoveries. The researchers claim the artificial intelligence model, which requires basic health data from the subject in order to determine whether they are diabetic, could be expanded to diagnose other health conditions. “Our research underscores the tremendous potential of voice technology in identifying Type 2 diabetes and other health conditions,” said Yan Fossat, vice president of Klick Labs and leader of the research. “Voice technology could revolutionise healthcare practices as an accessible and affordable digital screening tool.” The technology was detailed in a study, titled ‘Acoustic analysis and prediction of Type 2 Diabetes Mellitus using smartphone-recorded voice segments’, published in the journal Mayo Clinic Proceedings: Digital Health. Read More 10 ways AI will change the world – from curing cancer to wiping out humanity

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Infertility is a problem that afflicts more than a billion people across the world, which is why treatments such as IVF are so important. The procedure (in vitro fertilisation, to use it’s full name) involves the extraction of an egg from the woman's ovaries to be fertilised with sperm in a laboratory and returned to the woman’s womb. The goal is that the resulting embryo will then grow and develop into a foetus, blessing the parent or parents with a baby. However, success rates for IVF – as in, the percentage of treatments that result in a live birth – remain somewhat unencouraging: 32 per cent for women aged under 35; 25 per cent for women aged 35 to 37, with the numbers continuing to drop the older you get, according to the NHS. Nevertheless, a major new study has revealed a striking new finding which could help boost the hopes of countless aspiring mums and dads across the world. Sign up for our free Indy100 weekly newsletter After analysing 3,657 frozen embryos over a period of eight years, researchers in Western Australia found that IVF was much more likely to work when eggs had been harvested in the summer. The team clarified that it didn’t seem to matter when the embryos were transferred to the mother’s womb, just when the eggs were collected. Indeed, the likelihood of babies being born when the eggs had been retrieved in the summer was 30 per cent higher than when they had been retrieved in the autumn, according to the scientists. The team also found that the temperature on the day of egg collection didn’t seem to have an impact on success rates, but the number of sunny hours did. Of the embryos they tested, those harvested on days that had the most sunshine were 28 per cent more likely to result in a live birth compared to the darkest and most overcast days. “Our study suggests that the best conditions for live births appear to be associated with summer and increased sunshine hours on the day of egg retrieval,” the study’s lead, Dr Sebastian Leathersich, of Perth’s King Edward Memorial Hospital, said about the paper, which was published in the journal Human Reproduction. Still, he noted: “There are many factors that influence fertility treatment success, age being among the most important. “However, this study adds further weight to the importance of environmental factors and their influence on egg quality and embryonic development." He further explained: “We effectively separated the conditions at the time of egg collection from the conditions at the time of transfer, demonstrating that environmental factors when the eggs are developing are as, if not more, important than environmental factors during implantation and early pregnancy.” The expert obstetrician and gynaecologist added: “Optimising factors such as avoiding smoking, alcohol and other toxins and maintaining healthy activity levels and weight should be paramount. However, clinicians and patients could also consider external factors such as environmental conditions.” Despite Dr Leathersich and his colleagues concluding that the temperature on the day of egg collection had little bearing on the success of the process, they also found that the temperature on the day of embryo implantation did make a difference. The chances of a live birth rate decreased by 18 per cent when the embryos were transferred on the hottest days (when average temperatures measured between 14.5C and 27.8C) compared to the coolest days (0.1C to 9.8C), and there was a small increase in miscarriage rates, from 5.5 per cent to 7.6. The finding that miscarriage rates were highest when embryo transfer took place on the hottest days is consistent with other studies showing higher rates of miscarriage in the summer months. “This suggests that the negative effects of high temperature are more likely related to early pregnancy rather than egg development,” Dr Leathersich concluded. When it comes to the disparity in success rates between eggs retrieved in summer and autumn, he and his team pointed out that melatonin levels could be at play. Differences in lifestyles between the winter and summer months may also play a role, he and his colleagues acknowledged. "It is possible that there are differences in activity, diet, and lifestyle in different seasons which could underlie the observed differences in live birth rates, though such data were not collected in this study," they wrote. "It is also possible that other environmental factors, including pollutants, may impact clinical outcomes." Whilst the study’s findings are compelling, Dr Leathersich and his team admitted that it did have its limitations. The research was done in hindsight, using eggs that had been frozen, then thawed, so it could not draw watertight conclusions. “Ideally, these findings should be replicated in other sites with different conditions and different treatment protocols to confirm the findings,” Dr Leathersich said. “It would also be interesting to look at the impact of season and environmental factors on sperm parameters, as this could have contributed to our observations.” He added: “We are now planning to analyse this same group of patients using air quality data, as there may be seasonal changes in exposure to harmful pollutants which could negatively affect reproductive outcomes. “Finally, given the huge increase in so-called 'social egg freezing' for fertility preservation and the fact that this group generally have flexibility about when they choose to undergo treatment, it would be very interesting to see if these observations hold true with frozen eggs that are thawed and fertilised years later. “Any improved outcomes in this group could have big impacts for women making decisions about their future fertility, but the long-term follow-up required means it is likely to be some time before we can draw any conclusions for this population.” Have your say in our news democracy. 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