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For most of human history, forgetting was the default and remembering the challenge.

Chants, songs, monasteries, books, libraries, and even universities were established primarily to overcome our propensity to forget over time. The physical and economic limitations of all of those technologies and institutions served us well. Each acted not just as memory aids but also as filters or editors. They helped us remember much by helping us discard even more.

Just because we have the vessels, we fill them.

Even 10 years ago, we did not consider that words written for a tiny audience could reach beyond, perhaps to someone unforgiving, uninitiated in a community, or just plain unkind.

Remembering to forget, as Elvis argued, is also essential to getting over heartbreak. And, as Jorge Luis Borges wrote in his 1942 (yep, I Googled it to find the date) story "Funes el memorioso," it is just as important to the act of thinking. Funes, the young man in the story afflicted with an inability to forget anything, can't make sense of it. He can't think abstractly. He can't judge facts by relative weight or seriousness. He is lost in the details. Painfully, Funes cannot rest.

Our use of the proliferating data and rudimentary filters in our lives renders us incapable of judging, discriminating, or engaging in deductive reasoning. And inductive reasoning, which one could argue is entering a golden age with the rise of huge databases and the processing power needed to detect patterns and anomalies, is beyond the reach of lay users of the grand collective database called the Internet.

the default habits of our species: to record, retain, and release as much information as possible

Perhaps we just have to learn to manage wisely how we digest, discuss, and publicly assess the huge archive we are building. We must engender cultural habits that ensure perspective, calm deliberation, and wisdom. That's hard work.

we choose the nature of technologies. They don't choose us. We just happen to choose unwisely with some frequency

surveillance as the chief function of electronic government

critical information studies

Siva Vaidhyanathan is an associate professor of media studies and law at the University of Virginia. His next book, The Googlization of Everything, is forthcoming from the University of California Press.

Nietzsche's _On the Use and Disadvantage of History for Life_

Google compresses, if not eliminates, temporal context. This is likely only to exacerbate the existing problem in politics of taking one's statements out of context. A politician whose views on a subject have evolved quite logically over decades in light of changing knowledge and/or circumstances is held up in attack ads as a flip-flopper because consecutive Google entries have him/her saying two opposite things about the same subject -- and never mind that between the two statements, the Berlin Wall may have fallen or the economy crashed harder than at any other time since 1929.

A zettabyte, incidentally, is roughly half a million times the entire collections of all the academic libraries in the United States.

the growing desire of corporations and governments to know and store ever more data about everyone

About 70% of the digital universe is generated by individuals, but its storage is then predominantly the job of corporations. From emails and blogs to mobile phone calls, it is corporations that are storing information on behalf of consumers.

actions in the offline world that individuals carry out which result in digital content being created by organisations – from cashpoint transactions which a bank must record to walking along the pavement, which is likely to result in CCTV footage

"unstructured"

"You talk to a kid these days and they have no idea what a kilobyte is. The speed things progress, we are going to need many words beyond zettabyte."

The video ends by displaying a future vision of Russian expansion that includes most of Europe (notably not Turkey), the Middle East and Asia

According to Nox Influencer, Bright Side alone is earning between $314,010 and 971,950 monthly, and 5-Minute Crafts is earning between $576,640 and $1,780,000 monthly through YouTube partner earning estimates. As a privately held company, TheSoul Publishing doesn’t have to disclose its earnings. But all the Cypriot-managed company has to do to earn money from YouTube is meet viewing thresholds and have an AdSense account. AdSense, a Google product, just requires that a company have a bank account, an email address and a phone number. To monetize to this magnitude of revenue, YouTube may have also collected tax information, if TheSoul Publishing organization is conducting what it defines as “U.S. activities.” It’s also possible that YouTube verified a physical address by sending a pin mailer.

According to publicly available information from the YouTube channels themselves—information provided to YouTube by the people who set up and operate the channels at TheSoul Publishing—as of August 2019, 21 of the 35 channels connected to TheSoul Publishing claim to be based in the U.S. Ten of the channels had no country listed. Zodiac Maniac was registered in the U.K, though TheSoul Publishing emphasizes that all of its operations are run out of Cyprus.

 Now I’ve Seen Everything was the only channel registered in the Russian Federation. That channel has more than 400 million views, which, according to the analytics tool Nox Influencer, come from a range of countries, including Russia and Eastern European and Central Asian countries—despite being an English-language channel

In another video on Smart Banana, which has more than 1 million views, the titular banana speculates on “12 Countries That May Not Survive the Next 20 Years”—including the United States, which the video argues may collapse because of political infighting and diverse political viewpoints

Facebook pages are not a direct way to increase profit unless a company is actively marketing merchandise or sales, which TheSoul Publishing does not appear to do. The pages coordinate posting, so one post will often appear on a number of different pages. To a digital advertiser, this makes perfect sense as a way to increase relevance and visibility, but it’s far from obvious what TheSoul Publishing might be advertising. Likewise, there’s no obvious financial benefit to posting original videos within Facebook. The company did not meaningfully clarify its Facebook strategy in response to questions on the subject.

Facebook forbids what it describes as “coordinated inauthentic behavior,” as its head of cybersecurity describes in this video. While TheSoul’s Publishing’s behavior is clearly coordinated, it is unclear that any of its behavior is inauthentic based on information I have reviewed.

One thing that TheSoul is definitely doing on Facebook, however, is buying ads—and, at least sometimes, it’s doing so in rubles on issues of national importance, targeting audiences in the United States. The page Bright Side has 44 million followers and currently lists no account administrators located in the United States, but as of Aug. 8, 2019, it had them in Cyprus, Russia, the United Kingdom, El Salvador, India, Ukraine and in locations “Not Available.” It used Facebook to post six political advertisements paid for in the Russian currency.

the point here is not that the ad buy is significant in and of itself. The point, rather, is that the company has developed a massive social media following and has a history of at least experimenting with distributing both pro-Russian and paid political content to that following

TheSoul’s political ads included the one below. The advertisement pushes viewers to an article about how “wonderful [it is] that Donald Trump earns less in a year than you do in a month.” The advertisement reached men, women, and people of unknown genders over the ages of 18, and began running on May 15, 2018. TheSoul Publishing spent less than a dollar on this advertisement, raising the question: why bother advertising at all?

The articles and videos I first found all backed up what I was seeing on Reddit—posts that asserted a skewed version of actual reality, using carefully selected, out-of-context, and dubiously sourced statistics that propped up a hateful world view. On top of that, my online results were heavily influenced by something called an algorithm. I understand algorithms to be secretive bits of code that a website like YouTube will use to prioritize content that you are more likely to click on first. Because all of the content I was reading or watching was from far-right sources, all of the links that the algorithms dangled on my screen for me to click were from far-right perspectives.

I spent months isolated in my room, hunched over my computer, removing and approving memes on Reddit and watching conservative “comedians” that YouTube served up to me.

The inflammatory language and radical viewpoints used by the alt-right worked to YouTube and Google’s favor—the more videos and links I clicked on, the more ads I saw, and in turn, the more ad revenue they generated.

the biggest step in my recovery came when I attended a pro-Trump rally in Washington, D.C., in September 2017, about a month after the “Unite the Right” rally in Charlottesville, Virginia

The difference between the online persona of someone who identifies as alt-right and the real thing is so extreme that you would think they are different people. Online, they have the power of fake and biased news to form their arguments. They sound confident and usually deliver their standard messages strongly. When I met them in person at the rally, they were awkward and struggled to back up their statements. They tripped over their own words, and when they were called out by any counter protestors in the crowd, they would immediately use a stock response such as “You’re just triggered.”

Seeing for myself that the people I was talking to online were weak, confused, and backwards was the turning point for me.

we’re too far gone to reverse the damage that the alt-right has done to the internet and to naive adolescents who don’t know any better—children like the 13-year-old boy I was. It’s convenient for a massive internet company like Google to deliberately ignore why people like me get misinformed in the first place, as their profit-oriented algorithms continue to steer ignorant, malleable people into the jaws of the far-right

Dylann Roof, the white supremacist who murdered nine people in a Charleston, South Carolina, church in 2015, was radicalized by far-right groups that spread misinformation with the aid of Google’s algorithms.

Over the past couple months, I’ve been getting anti-immigration YouTube ads that feature an incident presented as a “news” story, about two immigrants who raped an American girl. The ad offers no context or sources, and uses heated language to denounce immigration and call for our county to allow ICE to seek out illegal immigrants within our area. I wasn’t watching a video about immigration or even politics when those ads came on; I was watching the old Monty Python “Cheese Shop” sketch. How does British satire, circa 1972, relate to America’s current immigration debate? It doesn’t.

tech companies need to be held accountable for the radicalization that results from their systems and standards.

anyone can be manipulated like I was. It’s so easy to find information online that we collectively forget that so much of the content the internet offers us is biased

Because the term “AI” is ambiguous, it makes having clear discussions more difficult. In one sense, it is the name of a subfield of computer science. In another, it can refer to the computing techniques developed in that subfield, most of which are now focused on pattern matching based on large data sets and the generation of new media based on those patterns. Finally, in marketing copy and start-up pitch decks, the term “AI” serves as magic fairy dust that will supercharge your business.

output can seem so plausible that without a clear indication of its synthetic origins, it becomes a noxious and insidious pollutant of our information ecosystem

Not only do we risk mistaking synthetic text for reliable information, but also that noninformation reflects and amplifies the biases encoded in its training data—in this case, every kind of bigotry exhibited on the Internet. Moreover the synthetic text sounds authoritative despite its lack of citations back to real sources. The longer this synthetic text spill continues, the worse off we are, because it gets harder to find trustworthy sources and harder to trust them when we do.

the people selling this technology propose that text synthesis machines could fix various holes in our social fabric: the lack of teachers in K–12 education, the inaccessibility of health care for low-income people and the dearth of legal aid for people who cannot afford lawyers, just to name a few

the systems rely on enormous amounts of training data that are stolen without compensation from the artists and authors who created it in the first place

the task of labeling data to create “guardrails” that are intended to prevent an AI system’s most toxic output from seeping out is repetitive and often traumatic labor carried out by gig workers and contractors, people locked in a global race to the bottom for pay and working conditions.

employers are looking to cut costs by leveraging automation, laying off people from previously stable jobs and then hiring them back as lower-paid workers to correct the output of the automated systems. This can be seen most clearly in the current actors’ and writers’ strikes in Hollywood, where grotesquely overpaid moguls scheme to buy eternal rights to use AI replacements of actors for the price of a day’s work and, on a gig basis, hire writers piecemeal to revise the incoherent scripts churned out by AI.

too many AI publications come from corporate labs or from academic groups that receive disproportionate industry funding. Much is junk science—it is nonreproducible, hides behind trade secrecy, is full of hype and uses evaluation methods that lack construct validity

We urge policymakers to instead draw on solid scholarship that investigates the harms and risks of AI—and the harms caused by delegating authority to automated systems, which include the unregulated accumulation of data and computing power, climate costs of model training and inference, damage to the welfare state and the disempowerment of the poor, as well as the intensification of policing against Black and Indigenous families. Solid research in this domain—including social science and theory building—and solid policy based on that research will keep the focus on the people hurt by this technology.