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Companies wary as Twitter checkmark policy fuels imposter accounts

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Twitter’s attempt to implement a paid account verification service has attracted imposters spreading misinformation, which experts said could lead major brands to further pull back from the social media platform owned by billionaire Elon Musk.

On April 20, Twitter moved to boost profits by removing the once-coveted blue check marks from accounts and charging $8 a month to users who wish to buy a Twitter Blue subscription to retain their verified status.

Musk’s latest initiative was met with a wave of imposter accounts sharing harmful misinformation. Some organizations have already stopped using Twitter, including the New York City Metropolitan Transportation Authority (MTA) with 1.3 million followers. Both AT&T Inc and Volkswagen AG told Reuters they had paused Twitter ads and had not yet resumed as of April.

Twitter has been hit by a massive decline in advertising since the acquisition but Musk told the BBC last month most of the advertisers are returning to the platform.

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Data from outside research firms and statements from several advertisers show Twitter’s ad business may not be bouncing back that quickly.

“Twitter Blue is a mess. This is more chaos and confusion for brands who were already wary of impersonation. They don’t want to remain on a platform where they feel vulnerable,” said Jasmine Enberg, principal analyst at Insider Intelligence.

Since Musk bought Twitter in October and began making rapid changes, brands have been debating whether they should keep advertising on the platform. Enberg said Twitter’s removal of legacy checkmarks could prompt some companies to stop tweeting and maintaining their profile.

“There’s little incentive for brands to keep an organic presence when they think their brand is at risk, and especially on a platform where it’s not going to drive any meaningful impact,” she said.

Rachel Moran-Prestridge, a postdoctoral scholar at the University of Washington’s Center for an Informed Public, said Twitter’s checkmarks for years gave users confidence an account was legitimate.

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“Without this verification, users have to do much more heavy lifting to try to ascertain whether the account is who they say they are,” she told Reuters in an email.

In a move that furthered confusion, Twitter on April 22 appeared to give some high-profile users a verification mark.

Within the next 48 hours, all but 110 of the most-followed Twitter accounts suddenly had verification through Twitter Blue, indicating Twitter likely gifted the check marks, independent researcher Travis Brown told Reuters.

Neither Twitter nor Musk has commented on the return of the verification marks for a select few users.

An emailed request for comment to Twitter returned an automated reply with a poop emoji.

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Reuters is a partner of Twitter’s Community Notes fact-checking project.

A fake account posing as Disney Junior UK, now a defunct TV channel, last week was issued a gold checkmark used for “verified organizations”. The Walt Disney Co (DIS.N) told Reuters it contacted Twitter and the account was suspended.

New York’s MTA said last Thursday it “does not pay tech platforms” and would stop tweeting service alerts and information.

“The reliability of (Twitter) can no longer be guaranteed,” the MTA said in a statement.

GRADUAL PULLBACK
Since the initial rollout of the Twitter Blue service in November, imposter tweets have spread harmful misinformation.

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U.S. drugmaker Eli Lilly and Co (LLY.N) watched its stock tumble over 4% and was forced to apologize after a Twitter user impersonating its official account posted “insulin is free.”

Imposter Twitter accounts also tarnished the online reputations of Lockheed Martin Corp(LMT.N) and Nintendo Co Ltd(7974.T). Last month, Twitter told advertisers in an email that businesses spending less than $1,000 per month on Twitter ads must be subscribed to Twitter Blue or pay to be part of the verified organizations program to keep running ads on the platform, according to Matt Navarra, a social media consultant who has worked with Meta and Mozilla.

Eric Yaverbaum, CEO of the New York-based PR agency Ericho Communications, said more brands are likely to pull away if Twitter does not implement a stringent user verification model.

“Brands have already stopped ads on Twitter, many won’t come back, and I have a feeling more companies will put an end to advertising on the platform,” Yaverbaum said in an e-mail to Reuters.

Some brands have already taken countermeasures against online impersonation by retaining the services of brand reputation management companies.

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Social Impostor CEO Kevin Long said a number of factors attract online impersonators to a celebrity or brand.

“Just because you had – or will have – a blue verification mark does not deter the imposters from creating accounts,” Long, whose company took down over 8,000 bogus accounts across major platforms, told Reuters in an email.

“The volume of imposter accounts seems to depend on several things — Is the client doing a high profile event that week? Is the client in the news for some reason – good or bad? My experience is this is across all social platforms.”

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Musk pushes plan for China data to power Tesla’s AI ambitions

Musk pushes plan for China data to power Tesla’s AI ambitions

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Musk pushes plan for China data to power Tesla's AI ambitions

Tesla is pushing ahead with plans to power the global development of its self-driving system with data from China that could be processed within the country, part of a strategic shift by Elon Musk, according to people with knowledge of the work.

As part of that effort, Tesla has been developing plans for a data center in China to train the algorithm needed for more fully autonomous vehicles, according to two people, who asked not to be named because the work remains private. 

Until recently, Tesla has focused on efforts to secure approval from Chinese regulators to transfer data generated by its EVs in China out of the country for its “Full Self Driving” (FSD) system, according to the two people and an additional person with knowledge of the matter.

It was not clear if Tesla would proceed with both options for handling self-driving data from China – data transfer and a local data center – or if it was developing parallel plans as a hedge.

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Tesla’s efforts underscore the speed of the electric vehicle maker’s pivot to bet on a breakthrough in AI at a time when EV demand has slowed and its competition has deepened.

Its push to make fuller use of data from vehicles in China to develop the automaker’s artificial intelligence for driving comes as the U.S. government has tried to clamp down on the transfer of AI technology from U.S. firms to China.

Tesla has not been able to offer the full version of FSD, which costs the equivalent of almost $9,000, in China.

A wider market for FSD in China would give a boost to the automaker’s revenue and profits at a time when both are getting squeezed by pressure from Chinese rivals such as BYD.

Setting up a data center in China for FSD development would require Tesla to work with a Chinese partner, two of the sources said. There is also a potential hardware-sourcing challenge.

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It has had talks with Nvidia about acquiring graphic processing units for a China data center, according to one of the people, who was briefed on the discussions. U.S. sanctions bar Nvidia and its partners from selling its most advanced chips in China.

Tesla’s campaign to make more use of data from China was kicked into high gear in a whirlwind trip by Musk to Beijing last month when he met with officials including Premier Li Qiang.

In his meeting with Li, Musk sought to smooth permissions for Tesla’s data transfer, two of the sources said. The potential of Tesla investing in a data center in China was also raised, they said.

Musk also discussed the possibility of Tesla licensing its FSD systems to Chinese EV makers, one person said. Musk had said in April Tesla was talking to another “major” automaker about licensing FSD without naming it.

China’s State Council Information Office did not respond to a request for comment.

THE CHINA EFFECT

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China, the world’s largest car market, has the biggest fleet of sensor-equipped cars capable of collecting data from congested cities with complicated traffic patterns, making data generated there valuable for automakers and AI providers.

Musk previously expressed opposition to a China-based data center, arguing that data transfer to the United States was the most efficient option, two people said.

Since 2021, Tesla has stored data collected by its Chinese EVs in Shanghai. Over that time, Tesla’s China team has been seeking approvals from Chinese regulators to transfer data out of the country, two people said.

Under a one-year pilot project, companies in Shanghai’s Lingang Area, where Tesla’s factory is located, will be allowed to transfer certain data without needing further security assessments, Reuters reported on Friday.

Some analysts see Musk as trying to make China a launchpad for self-driving in the same way Tesla’s 2019 bet on its Shanghai Gigafactory allowed it to break through as a mass-market electric vehicle maker.

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“It would definitely be a milestone for Tesla if it rolls out FSD in China and leverages the China data for algorithm training,” said Yale Zhang, managing director at Shanghai-based consultancy Automotive Foresight.

“China had played a key role in scaling up EV production for Tesla with the Shanghai factory. It would again serve a significant part in scaling up mass adoption of autonomous driving technologies,” he said.

Many industry experts expect it will take years before fully autonomous cars are commonplace, but predictions vary widely.

Driver-assistance features now offered in China are “level two” systems, meaning they require a driver ready to take over. Tesla’s FSD and its less-advanced options of Autopilot, are also level-two systems requiring attentive drivers.

More fully automated vehicle fleets operated by Baidu China’s biggest search engine operator, and Pony.ai, an autonomous driving startup, run in limited test zones.

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But China’s EV makers, including BYD, have made self-driving and advanced driver assist systems a priority. Mercedes and BMW have been granted licenses to test level-three systems that allow drivers to take their hands off the wheel and look away on a wider range of roads in China.

At least five automakers – Hyundai, Mazda, Toyota, Volkswagen, and Nissan- have approval to transfer some of their data out of China, but none of those approvals are for data to be used to train AI systems, according to lawyers, state media reports and analysts.

Penalties for violating data privacy laws that came into effect in China in 2021 are a major risk factor for data operations, groups representing foreign businesses in China say.

When asked about competition from Chinese EV makers during a call with investors after Tesla’s quarterly earnings last month, Musk said Tesla should be viewed more as an AI company.

He said he was confident Tesla’s FSD system would work “pretty well without modification in almost any market”. It would work better with “country-specific” training, Musk said.

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Reddit stock jumps after OpenAI partnership

Reddit stock jumps after OpenAI partnership

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Reddit stock jumps after OpenAI partnership

Shares of Reddit (RDDT.N) rose 14% on Friday, following a partnership with artificial intelligence firm OpenAI that is expected to draw in more users for the social media platform with AI-enhanced experience and attract more advertising revenue.

The stock was trading at $64.25 premarket, in touching distance of the highest closing price of $65.11 hit in late-March.
The partnership, announced on Thursday, allows Reddit to leverage OpenAI’s technology to build tools and features, and OpenAI’s ChatGPT platform to integrate Reddit’s content in a “real-time, structured” manner. OpenAI will also become an advertising partner for Reddit.

The pact delivers on Reddit’s “IPO promise of seizing opportunities to make more of AI, whether that’s deploying the tech on its platform to improve the user experience or feeding its content into AI language models,” said Russ Mould, investment director at AJ Bell.

Reddit, which primarily generates revenue from advertising, is seeking to diversify its income streams. In a February filing the company indicated its intent to explore new monetization channels, including offering creator tools and licensing its data to third parties.

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Reddit already has data licensing agreements with undisclosed parties that are projected to contribute at least $66.4 million in revenue this year. The license allows third parties to access, search, and analyze data on the platform.

With a daily active user count of more than 80 million, Reddit is considered a smaller player in the social media market. The company went public on the New York Stock Exchange on March 21. Its shares have gained 66% from their IPO price of $34 a piece.

The deal comes amidst a growing number of lawsuits against OpenAI, with firms alleging unauthorized use of their content for training large language models.

In recent months, OpenAI has also secured content licensing deals with several publishers, including the Associated Press and the Financial Times.

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EU demands clarity from Microsoft on AI risks in Bing

EU demands clarity from Microsoft on AI risks in Bing

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EU demands clarity from Microsoft on AI risks in Bing

The European Commission could fine Microsoft (MSFT.O), opens new tab if it doesn’t provide adequate information on risks stemming from generative AI features in search engine Bing by May 27.

The Commission said on Friday that it is worried about the dissemination of deep fakes and automated manipulation of services that can mislead voters.

It said it was stepping up enforcement actions on the matter, as it had not received a reply to a request for information sent on March 14.

If the deadline is not met, the commission could fine Bing up to 1% of its total annual income with periodic penalties of up to 5% of its average daily income.

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It can also fine the company if it provides incorrect or misleading information.

Tech companies are required to do more to tackle illegal and harmful content on their platforms under the European Union’s landmark Digital Services Act, which kicked in last year.

Generative AI is one of the risks identified by the commission for the integrity of electoral processes, in particular for the upcoming European Parliament elections in June.

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