Everyone can - and often does - have confident opinions about those questions. But you can't really answer them in any objective way unless we can agree on a definition of the word.There are basically two categories of definitions:The interpersonal definitions. Something like "Prejudice or antagonism directed against another person based on their membership in a racial group."The sociological definitions. Something like "A highly organized system of 'race'-based group privilege that operates at every level of society and is held together by a sophisticated ideology of color/'race' supremacy."

“Eliminated the idea of personal racism” is kinda an overstatement isn’t it? Like yeah, it exists, but interpersonal racism against white people just doesn’t do anything, or at least nothing worse than any other kind of insult like calling them an asshole. It maybe hurts white feelings a little and that’s it, but most white people don’t even seem offended by terms like “Mayo monkey” or “cracker” and I would guess it’s because those terms aren’t representative of white people being systemically oppressed for being white, since that’s never been a thing. There’s an important distinction in that things like N word or the propaganda trying to paint black and brown people as being criminals is literally tied to slavery

Basically, these kinds of disagreements boil down to there being two ways to define racism: a colloquial definition, where racism is just treating someone differently due to their race, and a more academic definition drawn from the social sciences and philosophy where racism is, to use the standard simplification "prejudice plus power."

You're using the first definition, on which you are correct that it appears to be possible to be racist against white people; and your sister is using the second, on which she is correct that it would seem impossible to be racist to white people, at least in the context of a society where whites are and have historically been in a position of power over other racial groups.

we need a mechanism when there is an emergency threat to human life for infrastructure providers to work expediently with legal authorities in order to ensure the decisions we make are grounded in due process. Unfortunately, that mechanism does not exist and so we are making this uncomfortable emergency decision alone.

York points to a 1946 U.S. Supreme Court decision, Marsh v. Alabama, which held that private entities can become sufficiently large and public to require them to be subject to the same Constitutional constraints as government entities. Though York says this ruling has “not as of this writing been applied to the quasi-public spaces of the internet”

even if YouTube were treated as an extension of government due to its size and required to retain every non-criminal video uploaded to its service, it would make as much of a political statement elsewhere, if not more. In France and Germany, it — like any other company — must comply with laws that require the removal of hate speech, laws which in the U.S. would be unconstitutional

Several European countries have banned Google Analytics because it is impossible for their citizens to be protected against surveillance by American intelligence agencies.

TikTok has downplayed the seriousness of its platform by framing it as an entertainment venue. As with other platforms, disinformation on TikTok spreads and multiplies. These factors may have an effect on how people vote. But the sudden alarm over yet-unproved allegations of algorithmic meddling in TikTok to boost Chinese interests is laughable to those of us who have been at the mercy of American-created algorithms despite living elsewhere. American state actors have also taken advantage of the popularity of social networks in ways not dissimilar from political adversaries.

what York notes is how aligned platforms are with the biases of upper-class white Americans; not coincidentally, the boards and executive teams of these companies are dominated by people matching that description.

It should not be so easy to point to similarities in egregious behaviour; corruption of legal processes should not be so common. I worry that regulators in China and the U.S. will spend so much time negotiating which of them gets to treat the internet as their domain while the rest of us get steamrolled by policies that maximize their self-preferencing.

to ensure a clear set of values projected into the world. One way to achieve that is to prefer protocols over platforms.

Yes, the country’s light touch approach to regulation and generous support of its tech industry has brought the world many of its most popular products and services. But it should not be assumed that we must rely on these companies built in the context of middle- and upper-class America.

Why costs are so high: The simplest answer is that schools have had little incentive to control costs, particularly when abundant student loans — both public and private — can make tuition rates appear more affordable than they really are.Moreover, some schools are motivated to spend on high-ticket items like new construction, because that can attract wealthier students (including from overseas) who don't request financial aid. In the end, however, those costs often get passed down to everyone.This is a systemic issue, which explains why most politicians have preferred to play along the easier margins.

There are possible solutions that have been circulating among education experts, not all of which rely on taxpayer largesse like making public college free for lower-income students.One would be to limit loans tied to education at schools that have a demonstrated history of onerous student debt burdens. In other words, if most of a school's students aren't receiving the sort of education that allows them to pay off their loans, cut it off at the source.This could include a gainful employment rule focused on career programs, which is favored by the Biden administration but languishing in Congress.Another would be to deny federal research grants to schools whose tuition rates increase at an unacceptably high level. This would be particularly impactful at large public and private universities.The federal government also could consider revoking the tax-exempt status of schools that exceed tuition inflation limits, although that likely would face court challenges.

The whole public-facing system of college admissions—in which admissions decisions are based on rigorous academic standards and financial aid is supposedly provided to those who are most academically and financially deserving—is an elaborate stage play meant to flatter privileged families and the reputations of colleges themselves. The real system, hidden behind the scenery, is much closer to the mechanics of pure capitalism, driven by an industry of for-profit consultants and relentlessly focused on the institutional bottom line.

A spokesman from Clark University, which tried to entice Ethan with a “$68,000 Robert Goddard Achievement Scholarship,” told me that the school “does not rely on an enrollment management consultant.” Instead, they said, it “occasionally” hires “outside analytical support” that does “not tell us how much aid to offer any student or group of students” but does “crunch large volumes of data in a timely manner that we then use to assess our progress toward our enrollment goals and estimate/project our total aid expenditure through that enrollment cycle.”

So, not an enrollment management consultant. Just, you know, a consultant that helps them manage enrollment.

As DiFeliciantonio wrote: “Wealthy families are more able and less willing to pay for college while the poorer families are more willing and less able.” In other words, parents of means who themselves have finished college are often sophisticated consumers of higher education and are able to drive a hard bargain, whereas lower-income, less-educated parents feel an enormous obligation to help their children move farther up the socioeconomic ladder and blindly trust that colleges have their best financial interests at heart. So colleges obey the algorithm and offer more financial aid to the Ethans than to the Ashleys, one of many problems identified in a recent Brookings Institution report.

Ashley submitted financial aid forms with information about her family’s modest income because everyone and everything about the process told her college aid is based on how much money you need, or deserve. She had no idea that information could be used against her. In May, New York University offered her admission if she would agree to delay enrollment until spring 2023—when, maybe not coincidentally, her good-but-not-stellar academic record would not count in the rankings data NYU submits to U.S. News & World Report. Their price? $79,070. Their aid offer? $0, take it or leave it, with 96 hours to respond.

as the countless individual stories that compose the nation’s $1.7 trillion student loan crisis show, many families make different choices. They are drawn in by a combination of optimism, blind faith, and familial obligation, and end up with debts they cannot repay. Colleges know this will happen.

Nobody is really judging your worthiness for financial aid. College is just another service with a price.

Every aspect of interacting with the various institutions that monitored and managed my kids—ACS, the foster care agency, Medicaid clinics—produced new data streams. Diagnoses, whether an appointment was rescheduled, notes on the kids’ appearance and behavior, and my perceived compliance with the clinician’s directives were gathered and circulated through a series of state and municipal data warehouses. And this data was being used as input by machine learning models automating service allocation or claiming to predict the likelihood of child abuse.

The dominant narrative about child welfare is that it is a benevolent system that cares for the most vulnerable. The way data is correlated and named reflects this assumption. But this process of meaning making is highly subjective and contingent. Similar to the term “artificial intelligence,” the altruistic veneer of “child welfare system” is highly effective marketing rather than a description of a concrete set of functions with a mission gone awry.

Child welfare is actually family policing. What AFST presents as the objective determinations of a de-biased system operating above the lowly prejudices of human caseworkers are just technical translations of long-standing convictions about Black pathology. Further, the process of data extraction and analysis produce truths that justify the broader child welfare apparatus of which it is a part.

As the scholar Dorothy Roberts explains in her 2022 book Torn Apart, an astonishing 53 percent of all Black families in the United States have been investigated by family policing agencies.

The kids were contractually the property of New York State and I was just an instrument through which they could supervise their property. In fact, foster parents are the only category of parents legally obligated to open the door to a police officer or a child protective services agent without a warrant. When a foster parent “opens their home” to go through the set of legal processes to become certified to take a foster child, their entire household is subject to policing and surveillance.

Not a single one was surprised about the false allegations. What they were uniformly shocked about was that the kids hadn’t been snatched up. While what happened to us might seem shocking to middle-class readers, for family policing it is the weather. (Black theorist Christina Sharpe describes antiblackness as climate.)

Tocqueville reckoned that the true success of democracy in America rested not on the grand ideals expressed on public monuments or even in the language of the Constitution, but in these habits and practices.

Facebook, Twitter and YouTube each took first steps to rein in the worst behavior on their platforms in the heat of the election, but none have confronted how their spaces were structured to become ideal venues for outrage and incitement.

The first step in the process is realizing that the problems we’re experiencing in digital life — how to gather strangers together in public in ways that make it so people generally behave themselves — aren’t new. They’re problems that physical communities have wrestled with for centuries. In physical communities, businesses play a critical role — but so do public libraries, schools, parks and roads. These spaces are often the groundwork that private industry builds itself around: Schools teach and train the next generation of workers; new public parks and plazas often spur private real estate development; businesses transport goods on publicly funded roads; and so on. Public spaces and private industry work symbiotically, if sometimes imperfectly.

These kinds of public spaces mostly don’t exist online. Twitter, Facebook, YouTube and Twitch each offer some aspects of these experiences. But ultimately, they’re all organized around the need for growth and revenue — incentives which are in tension with the critical community functions these institutions also serve, and with the heavy staffing models they require.

Recent peer-reviewed research from three professors at the University of Virginia demonstrates how dramatically the design of platforms can affect how people behave on them. In their study, in months where conservative-leaning users visited Facebook more, they saw much more ideological content than normal, whereas in months where they visited Reddit more they “read news that was 50 percent more moderate than what they typically read.” (This effect was smaller but similar for political liberals). Same people, different platforms, and dramatically different news diets as a result.

Wikipedia is probably the best-known example of this kind of institution — a nonprofit, mission-driven piece of digital infrastructure. The nonprofit Internet Archive, which bills itself as a free “digital library,” a repository of books, movies and music and over 500 billion archived webpages to create a living history of the internet, is another. But what we need are not just information services with a mission-driven agenda, but spaces where people can talk, share and relate without those relationships being distorted and shaped by profit-seeking incentive structures.

Users can post only once a day, every post is read by a moderating team, and if you’re too salty or run afoul of other norms, you’re encouraged to rewrite. This is terrible for short-term engagement — flame wars drive attention and use, after all — and as a business model, all those moderators are costly. But there’s a long-term payoff: two-thirds of Vermont households are on the Forum, and many Vermonters find it a valuable place for thoughtful public discussions.

In fact, public digital infrastructures might be the right place to start exploring how to reinvent governance and civil society more broadly.

If mission, design and governance are important ingredients, the final component is what might be called digital essential workers — professionals like librarians whose job is to manage, steward, and care for the people in these spaces. This care work is one of the pillars of successful physical communities, which has been abstracted away by the existing tech platforms. S

The truth is that Facebook, Google and Twitter have displaced and sucked the revenue out of an entire ecosystem of local journalistic enterprises and other institutions that served some of these public functions.

Advertisers don’t really want to know who you are - they want to show diaper ads to people who have babies, not to show them to people who don’t, and to have some sense of which ads drove half a million sales and which ads drove a million sales.

In practice, ‘showing car ads to people who read about cars’ led the adtech industry to build vast piles of semi-random personal data, aggregated, disaggregated, traded, passed around and sometimes just lost, partly because it could and partly because that appeared to be the only way to do it. After half a decade of backlash, there are now a bunch of projects trying to get to the same underlying advertiser aims - to show ads that are relevant, and get some measure of ad effectiveness - while keeping the private data private.

Apple has pursued a very clear theory that analysis and tracking is private if it happens on your device and is not private if leaves your device or happens in the cloud. Hence, it’s built a complex system of tracking and analysis on your iPhone, but is adamant that this is private because the data stays on the device. People have seemed to accept this (so far - or perhaps the just haven’t noticed it), but acting on the same theory Apple also created a CSAM scanning system that it thought was entirely private - ‘it only happens your device!’ - that created a huge privacy backlash, because a bunch of other people think that if your phone is scanning your photos, that isn’t ‘private’ at all. So is ‘on device’ private or not? What’s the rule? What if Apple tried the same model for ‘private’ ads in Safari? How will the public take FLoC? I don’t think we know.

On / off device is one test, but another and much broader is first party / third party: the idea it’s OK for a website to track what you do on that website but not OK for adtech companies to track you across many different websites. This is the core of the cookie question

At this point one answer is to cut across all these questions and say that what really matters is whether you disclose whatever you’re doing and get consent. Steve Jobs liked this argument. But in practice, as we've discovered, ‘get consent’ means endless cookie pop-ups full of endless incomprehensible questions that no normal consumer should be expected to understand, and that just train people to click ‘stop bothering me’. Meanwhile, Apple’s on-device tracking doesn't ask for permission, and opts you in by default, because, of course, Apple thinks that if it's on the device it's private. Perhaps ‘consent’ is not a complete solution after all.

If you can only analyse behaviour within one site but not across many sites, or make it much harder to do that, companies that have a big site where people spend lots of time have better targeting information and make more money from advertising. If you can only track behaviour across lots of different sites if you do it ‘privately’ on the device or in the browser, then the companies that control the device or the browser have much more control over that advertising