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Melbourne, Jul 24: Home-made cloth face masks may need a minimum of two layers, and preferably three, to prevent the dispersal of viral droplets associated with Covid-19, according to a study.

Researchers, including those from the University of New South Wales in Australia, noted that viral droplets are generated by those infected with the novel coronavirus when they cough, sneeze, or speak.

As face masks have been proven to protect healthy people from inhaling infectious droplets as well as reducing the spread from those who are already infected, several types of material have been suggested for these, but based on little or no evidence of how well they work, the scientists said.

In the current study, published in the journal Thorax, the researchers compared the effectiveness of single and double-layer cloth face coverings with a surgical face mask (Bao Thach) at reducing droplet spread.

They said the single layer covering was made from a folded piece of cotton T shirt and hair ties, and the double layer covering was made using the sew method described by the US Centers for Disease Control and Prevention (CDC).

The scientists used a tailored LED lighting system and a high-speed camera to film the dispersal of airborne droplets produced by a healthy person with no respiratory infection, during speaking, coughing, and sneezing while wearing each type of mask.

Their analysis showed that the surgical face mask was the most effective at reducing airborne droplet dispersal, although even a single layer cloth face covering reduced the droplet spread from speaking.

But the study noted that a double layer covering was better than a single layer in reducing the droplet spread from coughing and sneezing.

According to the researchers, the effectiveness of cloth face masks is dependent on the number of layers of the covering, the type of material used, design, fit as well as the frequency of washing.

Based on their observations, they said a home made cloth mask with at least two layers is preferable to a single layer mask.

"Guidelines on home-made cloth masks should stipulate multiple layers," the scientists said, adding that there is a need for more research to inform safer cloth mask design.

Paris, Jun 16: Increasing numbers of readers are paying for online news around the world even if the level of trust in the media, in general, remains very low, according to a report published Tuesday.

Around 20 percent of Americans questioned said they subscribed to an online news provider (up to four points over the previous year) and 42 percent of Norwegians (up eight points), along with 13 percent of the Dutch (up to three points), compared with 10 percent in France and Germany.

But between a third and a half of all news subscriptions go to just a few major media organisations, such as the New York Times, according to the annual Digital News Report by the Reuters Institute.

Some readers, however, are also beginning to take out more than one subscription, paying for a local or specialist title in addition to a national news source, the study's authors said.

But a large proportion of internet users say nothing could convince them to pay for online news, around 40 percent in the United States and 50 percent in Britain.

YouGov conducted the online surveys of 40 countries for the Reuters Institute in January, with 2,000 respondents in each.

Further surveys were carried out in six countries in April to analyse the initial effects of COVID-19.

The health crisis brought a revival of interest in television news -- with the audience rising five percent on average -- establishing itself as the main source of information along with online media.

Conversely, newspaper circulation was hard-hit by coronavirus lockdown measures.

The survey found trust in the news had fallen to its lowest level since the first report in 2012, with just 38 percent saying they trusted most news most of the time.

However, confidence in the news media varied considerably by country, ranging from 56 percent in Finland and Portugal to 23 percent in France and 21 percent in South Korea.

In Hong Kong, which has been hit by months of sometimes violent street protests against an extradition law, trust in the news fell 16 points to 30 percent over the year.

Chile, which has had regular demonstrations against inequality, saw trust in the media fall 15 percent while in Britain, where society has been polarised by issues such as Brexit, it was down 12 points.

Washington, Jan 7: Facebook will ban deepfake videos ahead of the US elections but the new policy will still allow heavily edited clips so long as they are parody or satire, the social media giant said Tuesday.

Deepfake videos are hyper-realistic doctored clips made using artificial intelligence or programs that have been designed to accurately fake real human movements.

In a blog published following a Washington Post report, Facebook said it would begin removing clips that were edited--beyond for clarity and quality--in ways that "aren't apparent to an average person" and could mislead people.

Clips would be removed if they were "the product of artificial intelligence or machine learning that merges, replaces or superimposes content onto a video, making it appear to be authentic," the statement from Facebook vice-president Monika Bickert said.

However, the statement added: "This policy does not extend to content that is parody or satire, or video that has been edited solely to omit or change the order of words."

US media noted the new guidelines would not cover videos such as the 2019 viral clip -- which was not a deepfake -- of House Speaker Nancy Pelosi that appeared to show her slurring her words.

Facebook also gave no indication on the number of people assigned to identify and take down the offending videos, but said videos failing to meet its usual guidelines would be removed, and those flagged clips would be reviewed by teams of third-party fact-checkers -- among them AFP.

The news agency has been paid by the social media giant to fact-check posts across 30 countries and 10 languages as part of a program starting in December 2016, and including more than 60 organisations.

Content labeled "false" is not always removed from newsfeeds but is downgraded so fewer people see it -- alongside a warning explaining why the post is misleading.