Archives 2018

If it seems as though the app you deleted last week is suddenly popping up everywhere, it may not be mere coincidence. Companies that cater to app makers have found ways to game both iOS and Android, enabling them to figure out which users have uninstalled a given piece of software lately—and making it easy to pelt the departed with ads aimed at winning them back.

Adjust, AppsFlyer, MoEngage, Localytics, and CleverTap are among the companies that offer uninstall trackers, usually as part of a broader set of developer tools. Their customers include T-Mobile US, Spotify Technology, and Yelp. (And Bloomberg Businessweek parent Bloomberg LP, which uses Localytics.) Critics say they’re a fresh reason to reassess online privacy rights and limit what companies can do with user data.

Uninstall tracking exploits a core element of Apple Inc.’s and Google’s mobile operating systems: push notifications. Developers have always been able to use so-called silent push notifications to ping installed apps at regular intervals without alerting the user—to refresh an inbox or social media feed while the app is running in the background, for example. But if the app doesn’t ping the developer back, the app is logged as uninstalled, and the uninstall tracking tools add those changes to the file associated with the given mobile device’s unique advertising ID, details that make it easy to identify just who’s holding the phone and advertise the app to them wherever they go.

At its best, uninstall tracking can be used to fix bugs or otherwise refine apps without having to bother users with surveys or more intrusive tools. But the ability to abuse the system beyond its original intent exemplifies the bind that accompanies the modern internet, says Gillula. To participate, users must typically agree to share their data freely, probably forever, not knowing exactly how it may be used down the road. “As an app developer, I would expect to be able to know how many people have uninstalled an app,” he says. “I would not say that, as an app developer, you have a right to know exactly who installed and uninstalled your app.”

Kim Kataguiri is known in Brazil for a lot of things. He’s been called a fascist. He’s been called a fake news kingpin. His organization, Movimento Brasil Livre (MBL) — the Free Brazil Movement — is like the Brazilian Breitbart. Or maybe it’s like the American tea party. Maybe it’s both. Is it a news network? Kataguiri says it isn’t. But it’s not a political party, either. He says MBL is just a bunch of young people who love free market economics and memes.

One thing is very clear: His YouTube channel, the memes, the fake news, and MBL’s army of supporters have helped Kataguiri, 22, become the youngest person ever elected to Congress in Brazil. He’s also trying to become Brazil’s equivalent of speaker of the House.

As the world panicked over whether Brazil’s far-right presidential frontrunner, Jair Bolsonaro, is more of a Trump or a Duterte, MBL pushed forward 16 of its own candidates. Six of them won on the federal level. More at the state and local levels. MBL’s YouTube channel has grown from zero to 1 million subscribers this year. MBL was on the front page of YouTube every day in the month leading up to the election. The plan is to have all of the group’s elected members start their own YouTube channels. Forty percent of MBL’s funding already comes from YouTube ads. MBL-affiliated YouTuber and newly elected state representative Arthur Mamãe Falei personally made $12,000 off his solo channel in October.

As Mamãe Falei simply puts it, “I guarantee YouTubers in Brazil are more influential than politicians.”

Kataguiri’s political awakening is a textbook example of the way algorithms beget more algorithms. During his last year of high school, his teacher started a debate about welfare programs in Brazil. So Kataguiri started googling. He discovered Ron Paul and the Brazilian libertarian YouTuber Daniel Fraga.

“Then I did a video to my teacher and my friends at school to talk about what I had found out,” Kataguiri says. “There was one problem: I posted this video on YouTube. So it was public and it went viral.”

He says people kept asking for more videos, but he didn’t know anything. So he went back to googling, and then made more videos about what he learned. His channel got bigger. He started connecting with other far-right and libertarian YouTubers. Brazil’s libertarian community started connecting on Facebook. Then, in 2013, Ron Paul visited a conference in Brazil, and suddenly the online community became a real-life one.

That’s when MBL started to form. He says the emphasis on economic theory within the libertarian movement was uninspiring. He wanted to start a group that got young people excited. By 2015, his videos were starting to draw a huge audience.

The main MBL Facebook page has about 3 million followers. Since 2014, it’s functioned more or less as the group’s main hub. But Kataguiri says that due to concerns over News Feed algorithm changes and Facebook’s banning of its pages this summer, MBL has begun to diversify. It has about 300,000 Twitter followers and about a half million on Instagram. Kataguiri says he doesn’t know anything about the American far-right Twitter clone Gab, which has recently become big in Brazil. But MBL does have a page there. The real crown jewels of MBL’s digital operation right now are YouTube and WhatsApp.

“First, we get news from somewhere,” he says. “There’s news from Folha de São Paulo, there’s news from Globo, there’s news from anywhere, but we choose the news that the public wants to read. We basically curate.”

Then, he says, they decide how to manipulate that news to fit their message.

“Nowadays, people only read the headline, and they already want to have an opinion before reading the news. Basically, what we offer them is, ‘This is the news, in two phrases — this is what we think about it.’”

And finally, the third step: “Basically something to make people laugh and have an incentive to share it with their friends,” he says.

[…]

Brazil has a history of unorthodox candidates running for office: porn stars, footballers, a guy dressed up like Batman. A TV clown has been reelected a few times. It’s not out of the realm of possibility that a YouTuber who works at a scrap metal yard and gets beat up at protests could be elected to local office in Brazil. The key difference with do Val is that he got half a million votes. That’s a fourth of his YouTube audience and an absurd number for a state election.

Douglas Rushkoff, long-time open source advocate (and currently a professor of Digital Economics at the City University of New York, Queens College), is calling Universal Basic Incomes “no gift to the masses, but a tool for our further enslavement.”

Uber’s business plan, like that of so many other digital unicorns, is based on extracting all the value from the markets it enters. This ultimately means squeezing employees, customers, and suppliers alike in the name of continued growth. When people eventually become too poor to continue working as drivers or paying for rides, UBI supplies the required cash infusion for the business to keep operating. When it’s looked at the way a software developer would, it’s clear that UBI is really little more than a patch to a program that’s fundamentally flawed. The real purpose of digital capitalism is to extract value from the economy and deliver it to those at the top. If consumers find a way to retain some of that value for themselves, the thinking goes, you’re doing something wrong or “leaving money on the table.”

Walmart perfected the softer version of this model in the 20th century. Move into a town, undercut the local merchants by selling items below cost, and put everyone else out of business. Then, as sole retailer and sole employer, set the prices and wages you want. So what if your workers have to go on welfare and food stamps. Now, digital companies are accomplishing the same thing, only faster and more completely…. Soon, consumers simply can’t consume enough to keep the revenues flowing in. Even the prospect of stockpiling everyone’s data, like Facebook or Google do, begins to lose its allure if none of the people behind the data have any money to spend. To the rescue comes UBI.

The policy was once thought of as a way of taking extreme poverty off the table. In this new incarnation, however, it merely serves as a way to keep the wealthiest people (and their loyal vassals, the software developers) entrenched at the very top of the economic operating system. Because of course, the cash doled out to citizens by the government will inevitably flow to them… Under the guise of compassion, UBI really just turns us from stakeholders or even citizens to mere consumers. Once the ability to create or exchange value is stripped from us, all we can do with every consumptive act is deliver more power to people who can finally, without any exaggeration, be called our corporate overlords… if Silicon Valley’s UBI fans really wanted to repair the economic operating system, they should be looking not to universal basic income but universal basic assets, first proposed by Institute for the Future’s Marina Gorbis… As appealing as it may sound, UBI is nothing more than a way for corporations to increase their power over us, all under the pretense of putting us on the payroll. It’s the candy that a creep offers a kid to get into the car or the raise a sleazy employer gives a staff member who they’ve sexually harassed. It’s hush money.

Rushkoff’s conclusion? “Whether its proponents are cynical or simply naive, UBI is not the patch we need.”

More than 40 years ago, Bill Gates and Paul Allen founded Microsoft with a vision for putting a personal computer on every desk. […] In recent years, the tech industry’s largest powers set their sights on a new target for digital conquest. They promised wild conveniences and unimaginable benefits to our health and happiness. There’s just one catch, which often goes unstated: If their novelties take off without any intervention or supervision from the government, we could be inviting a nightmarish set of security and privacy vulnerabilities into the world. And guess what. No one is really doing much to stop it. The industry’s new goal? Not a computer on every desk nor a connection between every person, but something grander: a computer inside everything, connecting everyone.

Cars, door locks, contact lenses, clothes, toasters, refrigerators, industrial robots, fish tanks, sex toys, light bulbs, toothbrushes, motorcycle helmets — these and other everyday objects are all on the menu for getting “smart.” Hundreds of small start-ups are taking part in this trend — known by the marketing catchphrase “the internet of things” — but like everything else in tech, the movement is led by giants, among them Amazon, Apple and Samsung. [American cryptographer and computer security professional Bruce Schneier] argues that the economic and technical incentives of the internet-of-things industry do not align with security and privacy for society generally. Putting a computer in everything turns the whole world into a computer security threat. […] Mr. Schneier says only government intervention can save us from such emerging calamities. “I can think of no industry in the past 100 years that has improved its safety and security without being compelled to do so by government.”

Improvements in CGI mean neither age nor death need stop some performers from working. From a report:

From Carrie Fisher in Rogue One: A Star Wars Story to Paul Walker in the Fast & Furious movies, dead and magically “de-aged” actors are appearing more frequently on movie screens. Sometimes they even appear on stage: next year, an Amy Winehouse hologram will be going on tour to raise money for a charity established in the late singer’s memory. Some actors and movie studios are buckling down and preparing for an inevitable future when using scanning technology to preserve 3-D digital replicas of performers is routine. Just because your star is inconveniently dead doesn’t mean your generation-spanning blockbuster franchise can’t continue to rake in the dough. Get the tech right and you can cash in on superstars and iconic characters forever.

[…]

For celebrities, these scans are a chance to make money for their families post mortem, extend their legacy — and even, in some strange way, preserve their youth. Visual-effects company Digital Domain — which has worked on major pictures like Avengers: Infinity War and Ready Player One — has also taken on individual celebrities as clients, though it hasn’t publicized the service. “We haven’t, you know, taken out any ads in newspapers to ‘Save your likeness,'” says Darren Hendler, director of the firm’s Digital Humans Group. The suite of services that the company offers actors includes a range of different scans to capture their famous faces from every conceivable angle — making it simpler to re-create them in the future. Using hundreds of custom LED lights arranged in a sphere, numerous images can be recorded in seconds capturing what the person’s face looks like lit from every angle — and right down to the pores.

Facebook announced Portal last week, its take on the in-home, voice-activated speaker to rival competitors from Amazon, Google and Apple. Last Monday, we wrote: “No data collected through Portal — even call log data or app usage data, like the fact that you listened to Spotify — will be used to target users with ads on Facebook.” We wrote that because that’s what we were told by Facebook executives. But Facebook has since reached out to change its answer: Portal doesn’t have ads, but data about who you call and data about which apps you use on Portal can be used to target you with ads on other Facebook-owned properties.

“Portal voice calling is built on the Messenger infrastructure, so when you make a video call on Portal, we collect the same types of information (i.e. usage data such as length of calls, frequency of calls) that we collect on other Messenger-enabled devices. We may use this information to inform the ads we show you across our platforms. Other general usage data, such as aggregate usage of apps, etc., may also feed into the information that we use to serve ads,” a spokesperson said in an email to Recode. That isn’t very surprising, considering Facebook’s business model. The biggest benefit of Facebook owning a device in your home is that it provides the company with another data stream for its ad-targeting business.

An Amazon employee is seeking to put new pressure on the company to stop selling its facial recognition technology to law enforcement. An anonymous worker, whose employment at Amazon was verified by Medium, published an op-ed on that platform on Tuesday criticizing the company’s facial recognition work and urging the company to respond to an open letter delivered by a group of employees. The employee wrote that the government has used surveillance tools in a way that disproportionately hurts “communities of color, immigrants, and people exercising their First Amendment rights.”

“Ignoring these urgent concerns while deploying powerful technologies to government and law enforcement agencies is dangerous and irresponsible,” the person wrote. “That’s why we were disappointed when Teresa Carlson, vice president of the worldwide public sector of Amazon Web Services, recently said that Amazon ‘unwaveringly supports’ law enforcement, defense, and intelligence customers, even if we don’t ‘know everything they’re actually utilizing the tool for.'” The op-ed comes one day after Amazon CEO Jeff Bezos defended technology companies working with the federal government on matters of defense during Wired’s ongoing summit in San Francisco. “If big tech companies are going to turn their back on the U.S. Department of Defense, this country is going to be in trouble,” Bezos said on Monday.

A new study from Pew Research Center found that most Americans can’t tell social media bots from real humans, and most are convinced bots are bad. “Only 47 percent of Americans are somewhat confident they can identify social media bots from real humans,” reports The Verge. “In contrast, most Americans surveyed in a study about fake news were confident they could identify false stories.”

The Pew study is an uncommon look at what the average person thinks about these automated accounts that plague social media platforms. After surveying over 4,500 adults in the U.S., Pew found that most people actually don’t know much about bots. Two-thirds of Americans have at least heard of social media bots, but only 16 percent say they’ve heard a lot about them, while 34 percent say they’ve never heard of them at all. The knowledgeable tend to be younger, and men are more likely than women (by 22 percentage points) to say they’ve heard of bots. Since the survey results are self-reported, there’s a chance people are overstating or understating their knowledge of bots. Of those who have heard of bots, 80 percent say the accounts are used for bad purposes.

Regardless of whether a person is a Republican or Democrat or young or old, most think that bots are bad. And the more that a person knows about social media bots, the less supportive they are of bots being used for various purposes, like activists drawing attention to topics or a political party using bots to promote candidates.

Salmon are just the latest entry in a growing cornucopia of animal faces loaded into databases. For some animals, the biometric data gathered from them is being used to aid in conservation efforts. For others, the resulting AI could help ward off poachers. While partly creepy and partly very cute, monitoring of these animals can both help protect their populations and ensure safe, traceable livestock for developing communities…

U.K. researchers are using online resources like Flickr and Instagram to help build and strengthen a database that will eventually help track global tiger populations in real time. Once collected, the photos are analyzed by everyday people in a free app called Wildsense… The mighty lion is being surveilled too. Conservationists and wildlife teachers are using facial recognition to keep tabs on a database of over 1,000 lions… Wildlife experts are tracking elephants to protect them from encroaching poachers. Using Google’s Cloud AutoML Vision machine learning software, the technology will uniquely identify elephants in the wild. According to the Evening Standard, the tech will even send out an alert if it detects poachers in the same frame.

The story of whale facial tracking is one of crowdsourcing success. After struggling to distinguish specific whales from one another on his own, marine biologist Christian Khan uploaded the photos to data-competition site Kaggle and, within four months, data-science company Deepsense was able to accurately detect individual whale faces with 87% accuracy. Since then, detection rates have steadily improved and are helping conservationists track and monitor the struggling aquatic giant.

U.S. researchers are trying to protect “the world’s most endangered animal” with LemurFaceID, which is able to accurately differentiate between two lemur faces with 97% accuracy. But “In the livestock surveillance arms race China is definitely leading the charge,” the article notes, citing e-commerce giant JD.com and its use of facial recognition to monitor herds of pigs to detect their age, weight, and diet.

And one Chinese company even offers a blockchain-based chicken tracking system (codenamed “GoGo Chicken”) with an app that can link a grocery store chicken to “its birthplace, what food it ate and how many steps it walked during its life.”

“The UK Parliament caused a bit of a stir this week with the news that it would play host to its first non-human witness,” reports The Verge. “A press release from one of Parliament’s select committees (groups of MPs who investigate an issue and report back to their peers) said it had invited Pepper the robot to ‘answer questions’ on the impact of AI on the labor market.” From the report:

“Pepper is part of an international research project developing the world’s first culturally aware robots aimed at assisting with care for older people,” said the release from the Education Committee. “The Committee will hear about her work [and] what role increased automation and robotics might play in the workplace and classroom of the future.” It is, of course, a stunt.

As a number of AI and robotics researchers pointed out on Twitter, Pepper the robot is incapable of giving such evidence. It can certainly deliver a speech the same way Alexa can read out the news, but it can’t formulate ideas itself. As one researcher told MIT Technology Review, “Modern robots are not intelligent and so can’t testify in any meaningful way.” Parliament knows this. In an email to The Verge, a media officer for the Education Committee confirmed that Pepper would be providing preprogrammed answers written by robotics researchers from Middlesex University, who are also testifying on the same panel. “It will be clear on the day that Pepper’s responses are not spontaneous,” said the spokesperson. “Having Pepper appear before the Committee and the chance to question the witnesses will provide an opportunity for members to explore both the potential and limitations of such technology and the capabilities of robots.”

MP Robert Halfon, the committee’s chair, told education news site TES that inviting Pepper was “not about someone bringing an electronic toy robot and doing a demonstration” but showing the “potential of robotics and artificial intelligence.” He added: “If we’ve got the march of the robots, we perhaps need the march of the robots to our select committee to give evidence.”

Yesterday, at a routine vote on regulations for self-driving cars, members of the European Peoples’ Party voted down a clause that would protect a vehicle’s telemetry so that it couldn’t become someone’s property. The clause affirmed that “data generated by autonomous transport are automatically generated and are by nature not creative, thus making copyright protection or the right on data-bases inapplicable.” Boing Boing reports:

This is data that we will need to evaluate the safety of autonomous vehicles, to fine-tune their performance, to ensure that they are working as the manufacturer claims — data that will not be public domain (as copyright law dictates), but will instead be someone’s exclusive purview, to release or withhold as they see fit. Who will own this data? It’s unlikely that it will be the owners of the vehicles.

It’s already the case that most auto manufacturers use license agreements and DRM to lock up your car so that you can’t fix it yourself or take it to an independent service center. The aggregated data from millions of self-driving cars across the EU aren’t just useful to public safety analysts, consumer rights advocates, security researchers and reviewers (who would benefit from this data living in the public domain) — it is also a potential gold-mine for car manufacturers who could sell it to insurers, market researchers and other deep-pocketed corporate interests who can profit by hiding that data from the public who generate it and who must share their cities and streets with high-speed killer robots.

Using a typical reality show format, the two-hour program follows a group of so-called “G-Men”, or immigration officers, employed by the Tokyo regional office of the National Immigration Bureau as they hunt down visa overstayers and so-called “illegal aliens” (fuhotaizaisha, 不法滞在者) and squatters (fuhosenshu, 不法占有) on camera.

In one segment, the immigration officers stake out the apartment of a Vietnamese man suspected of violating the conditions of his trainee visa. He and two others are arrested and interrogated on camera before being deported 24 hours later.

In another segment, the immigration officers storm a factory and detain a group of Indians suspected of being undocumented workers — the owners of the factory never appear on camera.

A final segment investigates the problem of Chinese “squatters” who have set up a vegetable patch on public land on an isolated stretch of riverbank in Kyoto.

For now, a fan upload of the video of the entire program can be viewed on DailyMotion.

An example of how “learning” machines inseparably take in the culture of their architects, ala Lewis Mumford:

“Amazon’s machine-learning specialists uncovered a big problem: their new recruiting engine did not like women. The team had been building computer programs since 2014 to review job applicants’ resumes with the aim of mechanizing the search for top talent, five people familiar with the effort told Reuters. Automation has been key to Amazon’s e-commerce dominance, be it inside warehouses or driving pricing decisions. The company’s experimental hiring tool used artificial intelligence to give job candidates scores ranging from one to five stars — much like shoppers rate products on Amazon, some of the people said. “Everyone wanted this holy grail,” one of the people said. “They literally wanted it to be an engine where I’m going to give you 100 resumes, it will spit out the top five, and we’ll hire those.” But by 2015, the company realized its new system was not rating candidates for software developer jobs and other technical posts in a gender-neutral way. That is because Amazon’s computer models were trained to vet applicants by observing patterns in resumes submitted to the company over a 10-year period. Most came from men, a reflection of male dominance across the tech industry.

[…]

Amazon edited the programs to make them neutral to these particular terms. But that was no guarantee that the machines would not devise other ways of sorting candidates that could prove discriminatory, the people said. The Seattle company ultimately disbanded the team by the start of last year because executives lost hope for the project, according to the people, who spoke on condition of anonymity.

Google exposed the private data of hundreds of thousands of users of the Google+ social network and then opted not to disclose the issue this past spring, in part because of fears that doing so would draw regulatory scrutiny and cause reputational damage. As part of its response to the incident, the Alphabet unit plans to announce a sweeping set of data privacy measures that include permanently shutting down all consumer functionality of Google+, the people said. The move effectively puts the final nail in the coffin of a product that was launched in 2011 to challenge Facebook and is widely seen as one of Google’s biggest failures.

A software glitch in the social site gave outside developers potential access to private Google+ profile data between 2015 and March 2018, when internal investigators discovered and fixed the issue, according to the documents and people briefed on the incident. A memo reviewed by the Journal prepared by Google’s legal and policy staff and shared with senior executives warned that disclosing the incident would likely trigger “immediate regulatory interest” and invite comparisons to Facebook’s leak of user information to data firm Cambridge Analytica.

Chinese spies reportedly infiltrated the supply chain and installed tiny chips the size of a pencil tip on the motherboards built by Supermicro, which are used in data center servers across the U.S. tech industry — from Apple to Amazon. That chip can compromise data on the server, allowing China to spy on some of the world’s most wealthy and powerful companies. Apple, Amazon and Supermicro — and the Chinese government — strenuously denied the allegations. Apple also released its own standalone statement later in the day, as did Supermicro.

Welcome to the murky world of national security reporting.

I’ve covered cybersecurity and national security for about five years, most recently at CBS, where I reported exclusively on several stories — including the U.S. government’s covert efforts to force tech companies to hand over their source code in an effort to find vulnerabilities and conduct surveillance. And last year I revealed that the National Security Agency had its fifth data breach in as many years, and classified documents showed that a government data collection program was far wider than first thought and was collecting data on U.S. citizens.

Even with this story, my gut is mixed.

In the aftermath of the disclosure of PRISM, the NSA’s data pulling program that implicated several tech companies — including Apple, but not Amazon — the companies came out fighting, vehemently denying any involvement or connection. Was it a failure of reporting? Partially, yes. But the companies also had plausible deniability by cherry picking what they rebuffed. Despite a claim by the government that PRISM had “direct access” to tech companies’ servers, the companies responded that this wasn’t true. They didn’t, however, refute indirect access — which the companies wouldn’t be allowed to say in any case.

In the summer of 2015, as Memphis exploded with protests over the police killing of a 19-year-old man, activists began hearing on Facebook from someone called Bob Smith. The name was generic, and so was his profile picture: a Guy Fawkes mask, the symbol of anti-government dissent. Smith acted as if he supported the protesters, and, slowly, they let him into their online community. Over the next three years, dozens of them accepted his friend requests, allowing him to observe private discussions over marches, rallies and demonstrations.

But Smith was not real. He was the creation of a white detective in the Memphis Police Department’s Office of Homeland Security whose job was to keep tabs on local activists across the spectrum, from Black Lives Matter to Confederate sympathizers.

The detective, Tim Reynolds, outed himself in August under questioning by the American Civil Liberties Union of Tennessee, which sued the police department for allegedly violating a 1978 agreement that prohibited police from conducting surveillance of lawful protests. The revelation validated many activists’ distrust of local authorities. It also provided a rare look into the ways American law enforcement operates online, taking advantage of a loosely regulated social media landscape — and citizens’ casual relinquishing of their privacy — to expand monitoring of the public.

The proliferation of fake Facebook accounts and other means of social media monitoring ─ including the use of software to crunch data about people’s online activity ─ illustrates a policing “revolution” that has allowed authorities to not only track people but also map out their networks, said Rachel Levinson-Waldman, senior counsel at New York University School of Law’s Brennan Center for Justice.

She is among many scholars who worry that expanded social media surveillance could make people less likely to engage in online activities protected by the First Amendment, from sharing their opinions to organizing protests of the government. But there are few laws governing this kind of monitoring. Few courts have taken up the issue. And most police departments don’t have policies on how officers can use social media for investigations, according to Levinson-Waldman’s research.

“It’s pretty open territory,” she said.

Revealed just weeks after Instagram’s co-founders left the company, Instagram is currently testing a feature that would allow it to share your location data with Facebook, even when you’re not using the app.

Instagram is not the only service that Facebook has sought to share data between. Back in 2016 the company announced that it would be sharing user data between WhatsApp and Facebook in order to offer better friend suggestions. The practice was later halted in the European Union thanks to its GDPR legislation, although WhatsApp’s CEO and co-founder later left over data privacy concerns.

Facebook is also reportedly testing a map view to see friend’s locations, similar to what’s already offered by Snapchat. Instagram’s data sharing could provide additional data points to power this functionality, while providing Facebook with more data to better target its ads.

Until just a few days ago, some Facebook users could not delete their accounts — the option to do so simply didn’t work. After VentureBeat reached out to Facebook regarding the issue, an engineer was able to squash the bug.

Two weeks ago, I got an email from a VentureBeat reader who couldn’t delete his Facebook account. He claimed there were others also having issues — no matter what they tried, they simply could not delete Facebook. I didn’t believe him at first. […] I did my due diligence. The least I could do was help him delete his account. Upon request, the reader was gracious enough to let me log into his Facebook account so I could see for myself. No matter what I tried, and regardless of which browser I used, the Facebook help page for deleting your account would not load when logged into his account.

The reporter contacted a Facebook spokesperson, who after looking into the matter concluded that a bug prevented some people with “a large number of posts” from deleting their accounts. Facebook says it has resolved the issue.

Facebook has increased the pending time to process a deletion request to 30 days, a 16-day increase over the previous 14.

Is there a reason to believe that Facebook’s also making this change because more people are deleting their accounts? The movement [sic] has certainly gotten a lot of attention in recent months, with WhatsApp cofounder Brian Acton encouraging his nearly 43,000 Twitter followers in March to delete Facebook.

But Facebook’s last earnings report doesn’t give much indication that it is — the number of daily active users in the U.S. and Canada stayed flat, and even increased in Asia. The number of DAUs in Europe dropped by 4 million, but Facebook executives indicated that they believed that was mostly due to GDPR. Facebook followers will have to wait until the company’s next earnings report on October 30 to see if the dip in Europe DAUs is part of a continuing trend.

For those who want to delete Facebook and are willing to wait out 30 days, here’s a step-by-step guide on how to do so.

Uber lures drivers with the idea of being your own boss and “making great money with your car.” The “great money” part is up for debate.

The median hourly pay with tip for Uber drivers in the U.S. is $14.73, according to a new study conducted by Ridester, a publication that focuses on the ride-hail industry. That figure includes tips but doesn’t account for expenses like insurance, gas and car depreciation incurred while working. Using Ridester’s low-end estimate of $5 per hour in vehicle costs, drivers would bring in $9.73 per hour and potentially much less.

That implies a driver working 40 hours per week would make an annual salary of almost $31,000 before vehicle expenses, and about $20,000 after expenses (but still before taxes). That’s below the poverty threshold for a family of three.

This is important because online “gig economy” jobs, including driving for Uber, are a growing part of the U.S. workforce: About 5 percent of the working population has worked in the gig economy in the past year, up from 2 percent in 2013. So their labor is increasingly tied to overall prosperity. Additionally, these workers are still typically considered contractors, meaning that they aren’t required to receive employer healthcare or other employee benefits.