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Facebook, Twitter Shutter Pro-Trump Network That Used AI To Create Fake People and Push Conspiracies

On Friday, Facebook and Twitter shut down a network of fake accounts that pushed pro-Trump messages all while “masquerading” as Americans with AI-generated faces as profile photos.

QIn a blog post, Facebook said that it connected the accounts to a US-based media company called The BL that, it claims, has ties to Epoch Media Group. In August, NBC News first reported that Epoch Media Group was pushing messages in support of President Donald Trump across social media platforms like Facebook and Twitter. Epoch has extensive connections to Falun Gong, an eccentric Chinese spiritual community that has faced significant persecution from the country’s central government. In a statement provided to The Verge, the Epoch Times denied any connection to The BL.

Facebook noted that many of the fake accounts used in the latest campaign employed false profile photos that appeared to have been generated by artificial intelligence. Those accounts would post BL content in other Facebook groups while pretending to be Americans. Pro-Trump messages were often posted “at very high frequencies” and linked to off-platform sites belonging to the BL and The Epoch Times. The accounts and pages were managed by individuals in the US and Vietnam. Facebook said that it removed 610 accounts, 89 Facebook pages, 156 groups, and 72 Instagram accounts that were connected to the organization. Around 55 million accounts followed one of these Facebook pages and 92,000 followed at least one of the Instagram accounts. The organization spent nearly $9.5 million in advertisements, according to Facebook.

The Rise of the Deepfake and the threat to Democracy

Deepfakes posted on the internet in the past two years, has alarmed many observers, who believe the technology could be used to disgrace politicians and even swing elections. Democracies appear to be gravely threatened by the speed at which disinformation can be created and spread via social media, where the incentive to share the most sensationalist content outweighs the incentive to perform the tiresome work of verification.

Last month, a digitally altered video showing Nancy Pelosi, the speaker of the US House of Representatives, appearing to slur drunkenly through a speech was widely shared on Facebook and YouTube. Trump then posted the clip on Twitter with the caption: “PELOSI STAMMERS THROUGH NEWS CONFERENCE”. The video was quickly debunked, but not before it had been viewed millions of times; the president did not delete his tweet, which at the time of writing has received nearly 98,000 likes. Facebook declined to take down the clip, qualifying its decision with the statement: “Once the video was fact-checked as false, we dramatically reduced its distribution.”

In response, a team including the artists Bill Posters and Daniel Howe two weeks ago posted a video on Instagram, in which Facebook founder Mark Zuckerberg boasts that he has “total control of billions of people’s stolen data, all their secrets, their lives, their futures”.

In May 2018, a Flemish socialist party called sp.a posted a deepfake video to its Twitter and Facebook pages showing Trump appearing to taunt Belgium for remaining in the Paris climate agreement. The video, which remains on the party’s social media, is a poor forgery: Trump’s hair is curiously soft-focus, while his mouth moves with a Muppet-like elasticity. Indeed, the video concludes with Trump saying: “We all know that climate change is fake, just like this video,” although this sentence alone is not subtitled in Flemish Dutch. (The party declined to comment, but a spokesperson previously told the site Politico that it commissioned the video to “draw attention to the necessity to act on climate change”.)

But James [founder of the YouTube channel derpfakes’ that publishes deepfake videos] believes forgeries may have gone undetected. “The idea that deepfakes have already been used politically isn’t so farfetched,” he says. “It could be the case that deepfakes have already been widely used for propaganda.”

YouTube’s Algorithm Made Fake CNN Reports Go Viral

“YouTube channels posing as American news outlets racked up millions of views on false and inflammatory videos over several months this year,” reports CNN.

“All with the help of YouTube’s recommendation engine.”

Many of the accounts, which mostly used footage from CNN, but also employed some video from Fox News, exploited a YouTube feature that automatically creates channels on certain topics. Those topic channels are then automatically populated by videos related to the topic — including, in this case, blatant misinformation.

YouTube has now shut down many of the accounts.

YouTube’s own algorithms also recommended videos from the channels to American users who watched videos about U.S. politics. That the channels could achieve such virality — one channel was viewed more than two million times over one weekend in October — raises questions about YouTube’s preparedness for tackling misinformation on its platform just weeks before the Iowa caucuses and points to the continuing challenge platforms face as people try to game their systems….

Responding to the findings on Thursday, a CNN spokesperson said YouTube needs to take responsibility.

“When accounts were deleted or banned, they were able to spin up new accounts within hours,” added Plasticity, a natural language processing and AI startup which analyzed the data and identified at least 25 different accounts which YouTube then shut down.

“The tactics they used to game the YouTube algorithm were executed perfectly. They knew what they were doing.”

Digital India: Government Hands Out Free Phones to Win Votes

In the state of Chhattisgarh, the chief minister, Raman Singh, has promised a smartphone in every home — and he is using the government-issued devices to reach voters as he campaigns in legislative elections that conclude on Tuesday.

The phones are the latest twist in digital campaigning by the B.J.P., which controls the national and state government and is deft at using tools like WhatsApp groups and Facebook posts to influence voters. The B.J.P. government in Rajasthan, which holds state elections next month, is also subsidizing phones and data plans for residents, and party leaders are considering extending the model to other states.

Police Bodycams Can Be Hacked To Doctor Footage, Install Malware

Josh Mitchell’s Defcon presentation analyzes the security of five popular brands of police bodycams (Vievu, Patrol Eyes, Fire Cam, Digital Ally, and CeeSc) and reveals that they are universally terrible. All the devices use predictable network addresses that can be used to remotely sense and identify the cameras when they switch on. None of the devices use code-signing. Some of the devices can form ad-hoc Wi-Fi networks to bridge in other devices, but they don’t authenticate these sign-ons, so you can just connect with a laptop and start raiding the network for accessible filesystems and gank or alter videos, or just drop malware on them.

Stare Into The Lights My Pretties

Children ‘at risk of robot influence’

Forget peer pressure, future generations are more likely to be influenced by robots, a study suggests.

The research, conducted at the University of Plymouth, found that while adults were not swayed by robots, children were.

The fact that children tended to trust robots without question raised ethical issues as the machines became more pervasive, said researchers.

They called for the robotics community to build in safeguards for children.

Those taking part in the study completed a simple test, known as the Asch paradigm, which involved finding two lines that matched in length.

Known as the conformity experiment, the test has historically found that people tend to agree with their peers even if individually they have given a different answer.

In this case, the peers were robots. When children aged seven to nine were alone in the room, they scored an average of 87% on the test. But when the robots joined them, their scores dropped to 75% on average. Of the wrong answers, 74% matched those of the robots.

“If robots can convince children (but not adults) that false information is true, the implication for the planned commercial exploitation of robots for childminding and teaching is problematic.”