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The Spinner* (with the asterisk) is “a service that enables you to subconsciously influence a specific person, by controlling the content on the websites he or she usually visits.” Meaning you can hire The Spinner* to hack another person.

It works like this:

  1. You pay The Spinner* $29. For example, to urge a friend to stop smoking. (That’s the most positive and innocent example the company gives.)
  2. The Spinner* provides you with an ordinary link you then text to your friend. When that friend clicks on the link, they get a tracking cookie that works as a bulls-eye for The Spinner* to hit with 10 different articles written specifically to influence that friend. He or she “will be strategically bombarded with articles and media tailored to him or her.” Specifically, 180 of these things. Some go in social networks (notably Facebook) while most go into “content discovery platforms” such as Outbrain and Revcontent (best known for those clickbait collections you see appended to publishers’ websites).

The Spinner* is also a hack on journalism, designed like a magic trick to misdirect moral outrage toward The Spinner’s obviously shitty business, and away from the shitty business called adtech, which not only makes The Spinner possible, but pays for most of online journalism as well.

The magician behind The Spinner* is “Elliot Shefler.” Look that name up and you’ll find hundreds of stories. Here are a top few, to which I’ve added some excerpts and notes:

  • For $29, This Man Will Help Manipulate Your Loved Ones With Targeted Facebook And Browser Links, by Parmy Olson @parmy in Forbes. Excerpt: He does say that much of his career has been in online ads and online gambling. At its essence, The Spinner’s software lets people conduct a targeted phishing attack, a common approach by spammers who want to secretly grab your financial details or passwords. Only in this case, the “attacker” is someone you know. Shefler says his algorithms were developed by an agency with links to the Israeli military.
  • For $29, This Company Swears It Will ‘Brainwash’ Someone on Facebook, by Kevin Poulson (@kpoulson) in The Daily Beast. A subhead adds, A shadowy startup claims it can target an individual Facebook user to bend him or her to a client’s will. Experts are… not entirely convinced.
  • Facebook is helping husbands ‘brainwash’ their wives with targeted ads, by Simon Chandler (@_simonchandler_) in The Daily Dot. Excerpt: Most critics assume that Facebook’s misadventures relate only to its posting of ads paid for by corporations and agencies, organizations that aim to puppeteer the “average” individual. It turns out, however, that the social network also now lets this same average individual place ads that aim to manipulate other such individuals, all thanks to the mediation of a relatively new and little-known company…
  • Brainwashing your wife to want sex? Here is adtech at its worst., by Samuel Scott (@samueljscott) in The Drum. Alas, the piece is behind a registration wall that I can’t climb without fucking myself (or so I fear, since the terms and privacy policy total 32 pages and 10,688 words I’m not going to read), so I can’t quote from it.
  • Creepy company hopes ‘Inception’ method will get your wife in the mood, by Saqib Shah (@eightiethmnt) in The Sun, via The New York Post. Excerpt: “It’s unethical in many ways,” admitted Shefler, adding “But it’s the business model of all media. If you’re against it, you’re against all media.” He picked out Nike as an example, explaining that if you visit the brand’s website it serves you a cookie, which then tailors the browsing experience to you every time you come back. A shopping website would also use cookies to remember the items you’re storing in a virtual basket before checkout. And a social network might use cookies to track the links you click and then use that information to show you more relevant or interesting links in the future…The Spinner started life in January of this year. Shefler claims the company is owned by a larger, London-based “agency” that provides it with “big data” and “AI” tools.
  • Adtech-for-sex biz tells blockchain consent app firm, ‘hold my beer’, by Rebecca Hill (@beckyhill) in The Register. The subhead says, Hey love, just click on this link… what do you mean, you’re seeing loads of creepy articles?
  • New Service Promises to Manipulate Your Wife Into Having Sex With You, by Fiona Tapp (@fionatappdotcom) in Rolling Stone. Excerpt: The Spinner team suggests that there isn’t any difference, in terms of morality, from a big company using these means to influence a consumer to book a flight or buy a pair of shoes and a husband doing the same to his wife. Exactly.
  • The Spinner And The Faustian Bargain Of Anonymized Data, by Lauren Arevalo-Downes (whose Twitter link by the piece goes to a 404) in A List Daily. On that site, the consent wall that creeps up from the bottom almost completely blanks out the actual piece, and I’m not going to “consent,” so no excertoing here either.
  • Can you brainwash one specific person with targeted Facebook ads? in TripleJ Hack, by ABC.net.au. Excerpt: Whether or not the Spinner has very many users, whether or not someone is going to stop drinking or propose marriage simply because they saw a sponsored post in their feed, it seems feasible that someone can try to target and brainwash a single person through Facebook.
  • More sex, no smoking – even a pet dog – service promises to make you a master of manipulation, by Chris Keall (@ChrisKeall) in The New Zealand Herald. Excerpt: On one level, The Spinner is a jape, rolled out as a colour story by various publications. But on another level it’s a lot more sinister: apparently yet another example of Facebook’s platform being abused to invade privacy and manipulate thought.
  • The Cambridge Analytica of Sex: Online service to manipulate your wife to have sex with you, by Ishani Ghose in meaww. Excerpt: The articles are all real but the headlines and the descriptions have been changed by the Spinner team. The team manipulating the headlines of these articles include a group of psychologists from an unnamed university. As the prepaid ads run, the partner will see headlines such as “3 Reasons Why YOU Should Initiate Sex With Your Husband” or “10 Marriage Tips Every Woman Needs to Hear”.

Is Spinner for real?

“Elliot Shefler” is human for sure. But his footprint online is all PR. He’s not on Facebook, Twitter or Instagram. The word “Press” (as in coverage) at the top of the Spinner website is just a link to a Google search for Elliot Shefler, not to curated list such as a real PR person or agency might compile.

Fortunately, a real PR person, Rich Leigh (@RichLeighPR) did some serious digging (you know, like a real reporter) and presented his findings in his blog, PR Examples, in a post titled Frustrated husbands can ‘use micro-targeted native ads to influence their wives to initiate sex’ – surely a PR stunt? Please, a PR stunt? It ran last July 10th, the day after Rich saw this tweet by Maya Kosoff (@mekosoff):

—and this one:

The links to (and in) those tweets no longer work, but the YouTube video behind one of the links is still up. The Spinner itself produced the video, which is tricked to look like a real news story. (Rich does some nice detective work, figuring that out.) The image above is a montage I put together from screenshots of the video.

Here’s some more of what Rich found out:

  • Elliot – not his real name, incidentally, his real name is Halib, a Turkish name (he told me) – lives, or told me he lives, in Germany

  • When I asked him directly, he assured me that it was ‘real’, and when I asked him why it didn’t work when I tried to pay them money, told me that it would be a technical issue that would take around half an hour to fix, likely as a result of ‘high traffic. I said I’d try again later. I did – keep reading

  • It is emphatically ‘not’ PR or marketing for anything

  • He told me that he has 5-6,000 paying users – that’s $145,000 – $174,000, if he’s telling the truth

  • Halib said that Google Ads were so cheap as nobody was bidding on them for the terms he was going for, and they were picking up traffic for ‘one or two cents’

  • He banked on people hate-tweeting it. “I don’t mind what they feel, as long as they think something”, Halib said – which is scarily like something I’ve said in talks I’ve given about coming up with PR ideas that bang

  • The service ‘works’ by dropping a cookie, which enables it to track the person you’re trying to influence in order to serve specific content. I know we had that from the site, but it’s worth reiterating

Long post short, Rich says Habib and/or Elliot is real, and so is The Spinner.

But what matters isn’t whether or not The Spinner is real. It’s that The Spinner misdirects reporters’ attention away from what adtech is and does, which is spy on people for the purpose of aiming stuff at them. And that adtech isn’t just what funds all of Facebook and much of Google (both giant and obvious targets of journalistic scrutiny), but what funds nearly all of publishing online, including most reporters’ salaries.

So let’s look deeper, starting here: There is no moral difference between planting an unseen tracking beacon on a person’s digital self and doing the same on a person’s physical self.

The operational difference is that in the online world it’s a helluva lot easier to misdirect people into thinking they’re not being spied on. Also a helluva lot easier for spies and intermediaries (such as publishers) to plausibly deny that spying is what they’re doing. And to excuse it, saying for example “It’s what pays for the Free Internet!” Which is bullshit, because the Internet, including the commercial Web, got along fine for many years before adtech turned the whole thing into Mos Eisley. And it will get along fine without adtech after we kill it, or it dies of its own corruption.

Meanwhile the misdirection continues, and it’s away from a third rail that honest and brave journalists† need to grab: that adtech is also what feeds most of them.

______________

† I’m being honest here, but not brave. Because I’m safe. I don’t work for a publication that’s paid by adtech. At Linux Journal, we’re doing the opposite, by being the first publication ready to accept terms that our readers proffer, starting with Customer CommonsP2B1(beta), which says “Just show me ads not based on tracking me.”

I came up with that law in the last millennium and it applied until Chevy discontinued the Cavalier in 2005. Now it should say, “You’re going to get whatever they’ve got.”

The difference is that every car rental agency in days of yore tended to get their cars from a single car maker, and now they don’t. Back then, if an agency’s relationship was with General Motors, which most of them seemed to be, the lot would have more of GM’s worst car than of any other kind of car. Now the car you rent truly is whatever. In the last year we’ve rented at least one Kia, Hyundai, Chevy, Nissan, Volkswagen, Ford and Toyota, and that’s just off the top of my head. (By far the best was a Chevy Impala. I actually loved it. So, naturally, it’s being discontinued.)

All of that, of course, applies only in the U.S. I know less about car rental verities in Europe, since I haven’t rented a car there since (let’s see…) 2011.

Anyway, when I looked up doc searls chevy cavalier to find whatever I’d written about my felicitous Fourth Law, the results included this, from my blog in 2004…

Five years later, the train pulls into Madison Avenue

ADJUSTING TO THE REALITY OF A CONSUMER-CONTROLLED MARKET, by Scott Donathon in Advertising Age. An excerpt:

Larry Light, global chief marketing officer at McDonald’s, once again publicly declared the death of the broadcast-centric ad model: “Mass marketing today is a mass mistake.” McDonald’s used to spend two-thirds of its ad budget on network prime time; that figure is now down to less than one-third.

General Motors’ Roger Adams, noting the automaker’s experimentation with less-intrusive forms of marketing, said, “The consumer wants to be in control, and we want to put them in control.” Echoed Saatchi & Saatchi chief Kevin Roberts, “The consumer now has absolute power.”

“It is not your goddamn brand,” he told marketers.

This consumer empowerment is at the heart of everything. End users are now in control of how, whether and where they consume information and entertainment. Whatever they don’t want to interact with is gone. That upends the intrusive model the advertising business has been sustained by for decades.

This is still fucked, of course. Advertising is one thing. Customer relationships are another.

“Consumer empowerment” is an oxymoron. Try telling McDonalds you want a hamburger that doesn’t taste like a horse hoof. Or try telling General Motors that nobody other than rental car agencies wants to buy a Chevy Cavalier or a Chevy Classic; or that it’s time, after 60 years of making crap fixtures and upholstery, to put an extra ten bucks (or whatever it costs) into trunk rugs that don’t seem like the company works to make them look and feel like shit. Feel that “absolute power?” Or like you’re yelling at the pyramids?

Real demand-side empowerment will come when it’s possible for any customer to have a meaningful — and truly valued — conversation with people in actual power on the supply side. And those conversations turn into relationships. And those relationships guide the company.

I’ll believe it when I see it.

Meanwhile the decline of old-fashioned brand advertising on network TV (which now amounts to a smaller percentage of all TV in any case) sounds more to me like budget rationalization than meaningful change where it counts.

Thanks to Terry for the pointer.

Three things about that.

First, my original blog (which ran from 1999 to 2007) is still up, thanks to Jake Savin and Dave Winer, at http://weblog.searls.com. (Adjust your pointers. It’ll help Google and Bing forget the old address.)

Second, I’ve been told by rental car people that the big American car makers actually got tired of hurting their brands by making shitty cars and scraping them off on rental agencies. So now the agencies mostly populate their lots surplus cars that don’t make it to dealers for various reasons. They also let their cars pile up 50k miles or more before selling them off. Also, the quality of cars in general is much higher than it used to be, and the experience of operating them is much more uniform—meaning blah in nearly identical ways.

Third, I’ve changed my mind on brand advertising since I wrote that. Two reasons. One is that brand advertising sponsors the media it runs on, which is a valuable thing. The other is that brand advertising really does make a brand familiar, which is transcendently valuable to the brand itself. There is no way personalized and/or behavioral advertising can do the same. Perhaps as much as $2trillion has been spent on tracking-based digital advertising, and not one brand known to the world has been made by it.

And one more thing: since we don’t commute, and we don’t need a car most of the time, we now favor renting cars over owning them. Much simpler and much cheaper. And the cars we rent tend to be nicer than the used cars we’ve owned and mostly driven into the ground. You never know what you’re going to get, but generally they’re not bad, and not our problem if something goes wrong with one, which almost never happens.

 

Really?

It’s misses like this that have people thinking there’s nothing to fear from AI.

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fruit thought

If personal data is actually a commodity, can you buy some from another person, as if that person were a fruit stand? Would you want to?

Not yet. Or maybe not really.

Either way, that’s the idea behind the urge by some lately to claim personal data as personal property, and then to make money (in cash, tokens or cryptocurrency) by selling or otherwise monetizing it. The idea in all these cases is to somehow participate in existing (entirely extractive) commodity markets for personal data.

ProjectVRM, which I direct, is chartered to “foster development of tools and services that make customers both independent and better able to engage,” and is a big tent. That’s why on the VRM Developments Work page of the ProjectVRM wiki is a heading called Markets for Personal Data. Listed there are:

So we respect that work. It is also essential to recognize problems it faces.

The first problem is that, economically speaking, data is a public good, meaning non-rivalrous and non-excludable. (Rivalrous means consumption or use by one party prevents the same by another, and excludable means you can prevent parties that don’t pay from access to it.) Here’s a table from Linux Journal column I wrote a few years ago:

Excludability Excludability
YES NO
Rivalness YES Private good: good: e.g., food, clothing, toys, cars, products subject to value-adds between first sources and final customers Common pool resource: e.g., sea, rivers, forests, their edible inhabitants and other useful contents
Rivalness NO Club good: e.g., bridges, cable TV, private golf courses, controlled access to copyrighted works Public good: e.g., data, information, law enforcement, national defense, fire fighting, public roads, street lighting

 

The second problem is that nature of data as a public good also inconveniences claims that it ought to be property. Thomas Jefferson explained this in his 1813 letter to Isaac MacPherson:

If nature has made any one thing less susceptible than all others of exclusive property, it is the action of the thinking power called an idea, which an individual may exclusively possess as long as he keeps it to himself; but the moment it is divulged, it forces itself into the possession of every one, and the receiver cannot dispossess himself of it. Its peculiar character, too, is that no one possesses the less, because every other possesses the whole of it. He who receives an idea from me, receives instruction himself without lessening mine; as he who lights his taper at mine, receives light without darkening me. That ideas should freely spread from one to another over the globe, for the moral and mutual instruction of man, and improvement of his condition, seems to have been peculiarly and benevolently designed by nature, when she made them, like fire, expansible over all space, without lessening their density in any point, and like the air in which we breathe, move, and have our physical being, incapable of confinement or exclusive appropriation

Of course Jefferson never heard of data. But what he says about “the thinking power called an idea,” and how ideas are like fire, is important for us to get our heads around amidst the rising chorus of voices insistenting that data is a form of property.

The third problem is that there are better legal frameworks than property law for protecting personal data. In Do we really want to “sell” ourselves? The risks of a property law paradigm for personal data ownership, Elizabeth Renieris and Dazza Greenwood write,

Who owns your data? It’s a popular question of late in the identity community, particularly in the wake of Cambridge Analytica, numerous high-profile Equifax-style data breaches, and the GDPR coming into full force and effect. In our view, it’s not only the wrong question to be asking but it’s flat out dangerous when it frames the entire conversation. While ownership implies a property law model of our data, we argue that the legal framework for our identity-related data must also consider constitutional or human rights laws rather than mere property law rules

Under common law, ownership in property is a bundle of five rights — the rights of possession, control, exclusion, enjoyment, and disposition. These rights can be separated and reassembled according to myriad permutations and exercised by one or more parties at the same time. Legal ownership or “title” of real property (akin to immovable property under civil law) requires evidence in the form of a deed. Similarly, legal ownership of personal property (i.e. movable property under civil law) in the form of commercial goods requires a bill of lading, receipt, or other document of title. This means that proving ownership or exerting these property rights requires backing from the state or sovereign, or other third party. In other words, property rights emanate from an external source and, in this way, can be said to be extrinsic rights. Moreover, property rights are alienable in the sense that they can be sold or transferred to another party.

Human rights — in stark contrast to property rights — are universal, indivisible, and inalienable. They attach to each of us individually as humans, cannot be divided into sticks in a bundle, and cannot be surrendered, transferred, or sold. Rather, human rights emanate from an internal source and require no evidence of their existence. In this way, they can be said to be intrinsic rights that are self-evident. While they may be codified or legally recognized by external sources when protected through constitutional or international laws, they exist independent of such legal documents. The property law paradigm for data ownership loses sight of these intrinsic rights that may attach to our data. Just because something is property-like, does not mean that it is — or that it should be — subject to property law.

In the physical realm, it is long settled that people and organs are not treated like property. Moreover, rights to freedom from unreasonable search and seizure, to associate and peaceably assemble with others, and the rights to practice religion and free speech are not property rights — rather, they are constitutional rights under U.S. law. Just as constitutional and international human rights laws protect our personhood, they also protect things that are property-like or exhibit property-like characteristics. The Fourth Amendment of the U.S. Constitution provides “the right of the people to be secure in their persons” but also their “houses, papers, and effects.” Similarly, the Universal Declaration of Human Rights and the European Convention on Human Rights protect the individual’s right to privacy and family life, but also her “home and correspondence”…

Obviously some personal data may exist in property-form just as letters and diaries in paper form may be purchased and sold in commerce. The key point is that sometimes these items are also defined as papers and effects and therefore subject to Fourth Amendment and other legal frameworks. In other words, there are some uses of (and interests in) our data that transform it from an interest in property to an interest in our personal privacy — that take it from the realm of property law to constitutional or human rights law. Location data, biological, social, communications and other behavioral data are examples of data that blend into personal identity itself and cross this threshold. Such data is highly revealing and the big-data, automated systems that collect, track and analyze this data make the need to establish proportional protections and safeguards even more important and more urgent. It is critical that we apply the correct legal framework.

The fourth problem is that all of us as human beings are able to produce forms of value that far exceed that of our raw personal data. Specifically, treating data as if it were a rivalrous and excludable commodity—such as corn, oil or fruit—not only takes Jefferson’s “thinking power” off the table, but misdirects attention, investment and development work away from supporting the human outputs that are fully combustible, and might be expansible over all space, without lessening density. Ideas can do that. Oil can’t, combustible or not.

Put another way, why would you want to make almost nothing (the likely price) from selling personal data on a commodity basis when you can make a lot more by selling your work where markets for work exist, and where rights are fully understood and protected within existing legal frameworks?

What makes us fully powerful as human beings is our ability to generate and share ideas and other goods that are expansible over all space, and not just to slough off data like so much dandruff. Or to be valued only for the labors we contribute as parts of industrial machines.

Important note: I’m not knocking labor here. Most of us have to work for wages, either as parts of industrial machines, or as independent actors. There is full honor in that. Yet our nature as distinctive and valuable human beings is to be more and other than a source of labor alone, and there are ways to make money from that fact too.

Many years ago JP Rangaswami (@jobsworth) and I made a distinction between making money with something and because of something.

Example: I don’t make money with this blog. But I do make money because of it—and probably a lot more money than I would if this blog carried advertising or if I did it for a wage. JP and I called this way of making money a because effect. The entire Internet, the World Wide Web and the totality of free and open source code all have vast because effects in money made with products and services that depend on those graces. Each are rising free tides that lift all commercial boats. Non-commercial ones too.

Which gets us to the idea behind declaring personal data as personal property, and creating marketplaces where people can sell their data.

The idea goes like this: there is a $trillion or more in business activity that trades or relies on personal data in many ways. Individual sources of that data should be able to get in on the action.

Alas, most of that $trillion is in what Shoshana Zuboff calls surveillance capitalism: a giant snake-ball of B2B activity wherein there is zero interest in buying what can be exploited for free.

Worse, surveillance capitalism’s business is making guesses about you, so it can sell you shit. On a per-message basis, this works about 0% of the time, even though massive amounts of money flow through that B2B snakeball (visualized as abstract rectangles here and here). Many reasons for that. Here are a few:

  1. Most of the time, such as right here and now, you’re not buying a damn thing, and not in a mood to be bothered by someone telling you what to buy.
  2. Companies paying other companies to push shit at you do not have your interests at heart—not even if their messages to you are, as they like to put it, “relevant” or “interest based.” (Which they almost always are not.)
  3. The entrails of surveillance capitalism are fully infected with fraud and malware.
  4. Surveillance capitalism is also quite satisfied to soak up to 97% of an advertising spend before an ad’s publisher gets its 3% for pushing an ad at you.

Trying to get in on that business is an awful proposition.

Yes, I know it isn’t just surveillance capitalists who hunger for personal data. The health care business, for example, can benefit enormously from it, and is less of a snakeball, on the whole. But what will it pay you? And why should it pay you?

Won’t large quantities of anonymized personal data from iOS and Android devices, handed over freely, be more valuable to medicine and pharma than the few bits of data individuals might sell? (Apple has already ventured in that direction, very carefully, also while not paying for any personal data.)

And isn’t there something kinda suspect about personal data for sale? Such as motivating the unscrupulous to alter some of their data so it’s worth more?

What fully matters for people in the digital world is agency, not data. Agency is the power to act with full effect in the world. It’s what you have when you put your pants on, when you walk, or drive, or tell somebody something useful while they listen respectfully. It’s what you get when you make a deal with an equal.

It’s not what any of us get when we’re just “users” on a platform. Or when we click “agree” to one-sided terms the other party can change and we can’t. Both of those are norms in Web 2.0 and desperately need to be killed.

But it’s still early. Web 2.0 is an archaic stage in the formation of the digital world. Surveillance capitalism has also been a bubble ready to pop for years. The matter is when, not if. The whole thing is too absurd, corrupt, complex and annoying to keep living forever.

So let’s give people ways to increase their agency, at scale, in the digital world. There’s no scale in selling one’s personal data. But there’s plenty in putting better human powers to work.

If we’re going to obsess over personal data, let’s look instead toward ways to regulate or control over how our personal data might be used by others. There are lots of developers at work on this already. Here’s one list at ProjectVRM.

Bonus links:

 

 

 

 

Nature and the Internet both came without privacy.

The difference is that we’ve invented privacy tech in the natural world, starting with clothing and shelter, and we haven’t yet done the same in the digital world.

When we go outside in the digital world, most of us are still walking around naked. Worse, nearly every commercial website we visit plants tracking beacons on us to support the extractive economy in personal data called adtech: tracking-based advertising.

In the natural world, we also have long-established norms for signaling what’s private, what isn’t, and how to respect both. Laws have grown up around those norms as well. But let’s be clear: the tech and the norms came first.

Yet for some reason many of us see personal privacy as a grace of policy. It’s like, “The answer is policy. What is the question?”

Two such answers arrived with this morning’s New York TimesFacebook Is Not the Problem. Lax Privacy Rules Are., by the Editorial Board; and Can Europe Lead on Privacy?, by ex-FCC Chairman Tom Wheeler. Both call for policy. Neither see possibilities for personal tech. To both, the only actors in tech are big companies and big government, and it’s the job of the latter to protect people from the former. What they both miss is that we need what we might call big personal. We can only get that with personal tech that gives each of us power not just resist encroachments by others, but to have agency. (Merriam Websterthe capacity, condition, or state of acting or of exerting power.)

We acquired agency with personal computing and the Internet. Both were designed to make everyone an Archimedes. We also got a measure of it with the phones and tablets we carry around in our pockets and purses. None are yet as private as they should be, but making them fully private is the job of tech.

I bring this up because we will be working on privacy tech over the next four days at the Computer History Museum, first at VRM Day, today, and then over next three days at IIW: the Internet Identity Workshop.

On the table at both are work some of us, me included, are doing through Customer Commons on terms we can proffer as individuals, and the sites and services of the world can agree to.

Those terms are examples of what we call customertech: tech that’s ours and not Facebook’s or Apple’s or Google’s or Amazon’s.

The purpose is to turn the connected marketplace into a Marvel-like universe in which all of us are enhanced. It’ll be interesting to see what kind of laws follow.*

But hey, let’s invent the tech we need first.

*BTW, I give huge props to the EU for the General Data Protection Regulation, which is causing much new personal privacy tech development and discussion. I also think it’s an object lesson in what can happen when an essential area of tech development is neglected, and gets exploited by others for lack of that development.

Also, to be clear, my argument here is not against policy, but for tech development. Without the tech and the norms it makes possible, we can’t have fully enlightened policy.

Bonus link.

Let’s start with Facebook’s Surveillance Machine, by Zeynep Tufekci in last Monday’s New York Times. Among other things (all correct), Zeynep explains that “Facebook makes money, in other words, by profiling us and then selling our attention to advertisers, political actors and others. These are Facebook’s true customers, whom it works hard to please.”

Irony Alert: the same is true for the Times, along with every other publication that lives off adtech: tracking-based advertising. These pubs don’t just open the kimonos of their readers. They bring readers’ bare digital necks to vampires ravenous for the blood of personal data, all for the purpose of aiming “interest-based” advertising at those same readers, wherever those readers’ eyeballs may appear—or reappear in the case of “retargeted” advertising.

With no control by readers (beyond tracking protection which relatively few know how to use, and for which there is no one approach, standard, experience or audit trail), and no blood valving by the publishers who bare those readers’ necks, who knows what the hell actually happens to the data?

Answer: nobody knows, because the whole adtech “ecosystem” is a four-dimensional shell game with hundreds of players

or, in the case of “martech,” thousands:

For one among many views of what’s going on, here’s a compressed screen shot of what Privacy Badger showed going on in my browser behind Zeynep’s op-ed in the Times:

[Added later…] @ehsanakhgari tweets pointage to WhoTracksMe’s page on the NYTimes, which shows this:

And here’s more irony: a screen shot of the home page of RedMorph, another privacy protection extension:

That quote is from Free Tools to Keep Those Creepy Online Ads From Watching You, by Brian X. Chen and Natasha Singer, and published on 17 February 2016 in the Times.

The same irony applies to countless other correct and important reportage on the Facebook/Cambridge Analytica mess by other writers and pubs. Take, for example, Cambridge Analytica, Facebook, and the Revelations of Open Secrets, by Sue Halpern in yesterday’s New Yorker. Here’s what RedMorph shows going on behind that piece:

Note that I have the data leak toward Facebook.net blocked by default.

Here’s a view through RedMorph’s controller pop-down:

And here’s what happens when I turn off “Block Trackers and Content”:

By the way, I want to make clear that Zeynep, Brian, Natasha and Sue are all innocents here, thanks both to the “Chinese wall” between the editorial and publishing functions of the Times, and the simple fact that the route any ad takes between advertiser and reader through any number of adtech intermediaries is akin to a ball falling through a pinball machine. Refresh your page while reading any of those pieces and you’ll see a different set of ads, no doubt aimed by automata guessing that you, personally, should be “impressed” by those ads. (They’ll count as “impressions” whether you are or not.)

Now…

What will happen when the Times, the New Yorker and other pubs own up to the simple fact that they are just as guilty as Facebook of leaking data about their readers to other parties, for—in many if not most cases—God knows what purposes besides “interest-based” advertising? And what happens when the EU comes down on them too? It’s game-on after 25 May, when the EU can start fining violators of the General Data Protection Regulation (GDPR). Key fact: the GDPR protects the data blood of what they call “EU data subjects” wherever those subjects’ necks are exposed in borderless digital world.

To explain more about how this works, here is the (lightly edited) text of a tweet thread posted this morning by @JohnnyRyan of PageFair:

Facebook left its API wide open, and had no control over personal data once those data left Facebook.

But there is a wider story coming: (thread…)

Every single big website in the world is leaking data in a similar way, through “RTB bid requests” for online behavioural advertising #adtech.

Every time an ad loads on a website, the site sends the visitor’s IP address (indicating physical location), the URL they are looking at, and details about their device, to hundreds -often thousands- of companies. Here is a graphic that shows the process.

The website does this to let these companies “bid” to show their ad to this visitor. Here is a video of how the system works. In Europe this accounts for about a quarter of publishers’ gross revenue.

Once these personal data leave the publisher, via “bid request”, the publisher has no control over what happens next. I repeat that: personal data are routinely sent, every time a page loads, to hundreds/thousands of companies, with no control over what happens to them.

This means that every person, and what they look at online, is routinely profiled by companies that receive these data from the websites they visit. Where possible, these data and combined with offline data. These profiles are built up in “DMPs”.

Many of these DMPs (data management platforms) are owned by data brokers. (Side note: The FTC’s 2014 report on data brokers is shocking. See https://www.ftc.gov/reports/data-brokers-call-transparency-accountability-report-federal-trade-commission-may-2014. There is no functional difference between an #adtech DMP and Cambridge Analytica.

—Terrell McSweeny, Julie Brill and EDPS

None of this will be legal under the #GDPR. (See one reason why at https://t.co/HXOQ5gb4dL). Publishers and brands need to take care to stop using personal data in the RTB system. Data connections to sites (and apps) have to be carefully controlled by publishers.

So far, #adtech’s trade body has been content to cover over this wholesale personal data leakage with meaningless gestures that purport to address the #GDPR (see my note on @IABEurope current actions here: https://t.co/FDKBjVxqBs). It is time for a more practical position.

And advertisers, who pay for all of this, must start to demand that safe, non-personal data take over in online RTB targeting. RTB works without personal data. Brands need to demand this to protect themselves – and all Internet users too. @dwheld @stephan_lo @BobLiodice

Websites need to control
1. which data they release in to the RTB system
2. whether ads render directly in visitors’ browsers (where DSPs JavaScript can drop trackers)
3. what 3rd parties get to be on their page
@jason_kint @epc_angela @vincentpeyregne @earljwilkinson 11/12

Lets work together to fix this. 12/12

Those last three recommendations are all good, but they also assume that websites, advertisers and their third party agents are the ones with the power to do something. Not readers.

But there’s lots readers will be able to do. More about that shortly. Meanwhile, publishers can get right with readers by dropping #adtech and going back to publishing the kind of high-value brand advertising they’ve run since forever in the physical world.

That advertising, as Bob Hoffman (@adcontrarian) and Don Marti (@dmarti) have been making clear for years, is actually worth a helluva lot more than adtech, because it delivers clear creative and economic signals and comes with no cognitive overhead (for example, wondering where the hell an ad comes from and what it’s doing right now).

As I explain here, “Real advertising wants to be in a publication because it values the publication’s journalism and readership” while “adtech wants to push ads at readers anywhere it can find them.”

Doing real advertising is the easiest fix in the world, but so far it’s nearly unthinkable for a tech industry that has been defaulted for more than twenty years to an asymmetric power relationship between readers and publishers called client-server. I’ve been told that client-server was chosen as the name for this relationship because “slave-master” didn’t sound so good; but I think the best way to visualize it is calf-cow:

As I put it at that link (way back in 2012), Client-server, by design, subordinates visitors to websites. It does this by putting nearly all responsibility on the server side, so visitors are just users or consumers, rather than participants with equal power and shared responsibility in a truly two-way relationship between equals.

It doesn’t have to be that way. Beneath the Web, the Net’s TCP/IP protocol—the gravity that holds us all together in cyberspace—remains no less peer-to-peer and end-to-end than it was in the first place. Meaning there is nothing about the Net that prevents each of us from having plenty of power on our own.

On the Net, we don’t need to be slaves, cattle or throbbing veins. We can be fully human. In legal terms, we can operate as first parties rather than second ones. In other words, the sites of the world can click “agree” to our terms, rather than the other way around.

Customer Commons is working on exactly those terms. The first publication to agree to readers terms is Linux Journal, where I am now editor-in-chief. The first of those terms is #P2B1(beta), says “Just show me ads not based on tracking me,” and is hashtagged #NoStalking.

In Help Us Cure Online Publishing of Its Addiction to Personal Data, I explain how this models the way advertising ought to be done: by the grace of readers, with no spying.

Obeying readers’ terms also carries no risk of violating privacy laws, because every pub will have contracts with its readers to do the right thing. This is totally do-able. Read that last link to see how.

As I say there, we need help. Linux Journal still has a small staff, and Customer Commons (a California-based 501(c)(3) nonprofit) so far consists of five board members. What it aims to be is a worldwide organization of customers, as well as the place where terms we proffer can live, much as Creative Commons is where personal copyright licenses live. (Customer Commons is modeled on Creative Commons. Hats off to the Berkman Klein Center for helping bring both into the world.)

I’m also hoping other publishers, once they realize that they are no less a part of the surveillance economy than Facebook and Cambridge Analytica, will help out too.

[Later…] Not long after this post went up I talked about these topics on the Gillmor Gang. Here’s the video, plus related links.

I think the best push-back I got there came from Esteban Kolsky, (@ekolsky) who (as I recall anyway) saw less than full moral equivalence between what Facebook and Cambridge Analytica did to screw with democracy and what the New York Times and other ad-supported pubs do by baring the necks of their readers to dozens of data vampires.

He’s right that they’re not equivalent, any more than apples and oranges are equivalent. The sins are different; but they are still sins, just as apples and oranges are still both fruit. Exposing readers to data vampires is simply wrong on its face, and we need to fix it. That it’s normative in the extreme is no excuse. Nor is the fact that it makes money. There are morally uncompromised ways to make money with advertising, and those are still available.

Another push-back is the claim by many adtech third parties that the personal data blood they suck is anonymized. While that may be so, correlation is still possible. See Study: Your anonymous web browsing isn’t as anonymous as you think, by Barry Levine (@xBarryLevine) in Martech Today, which cites De-anonymizing Web Browsing Data with Social Networks, a study by Jessica Su (@jessicatsu), Ansh Shukla (@__anshukla__) and Sharad Goel (@5harad)
of Stanford and Arvind Narayanan (@random_walker) of Princeton.

(Note: Facebook and Google follow logged-in users by name. They also account for most of the adtech business.)

One commenter below noted that this blog as well carries six trackers (most of which I block).. Here is how those look on Ghostery:

So let’s fix this thing.

[Later still…] Lots of comments in Hacker News as well.

[Later again (8 April 2018)…] About the comments below (60+ so far): the version of commenting used by this blog doesn’t support threading. If it did, my responses to comments would appear below each one. Alas, some not only appear out of sequence, but others don’t appear at all. I don’t know why, but I’m trying to find out. Meanwhile, apologies.

Power of the People is a great grabber of a headline, at least for me. But it’s a pitch for a report that requires filling out the form here on the right:

You see a lot of these: invitations to put one’s digital ass on mailing list, just to get a report that should have been public in the first place, but isn’t so personal data can be harvested and sold or given away to God knows who.

And you do more than just “agree to join” a mailing list. You are now what marketers call a “qualified lead” for countless other parties you’re sure to be hearing from.

And how can you be sure? Read the privacy policy,. This one (for Viantinc.com) begins,

If you choose to submit content to any public area of our websites or services, your content will be considered “public” and will be accessible by anyone, including us, and will not be subject to the privacy protections set forth in this Privacy Policy unless otherwise required by law. We encourage you to exercise caution when making decisions about what information you disclose in such public areas.

Is the form above one of those “public areas”? Of course. What wouldn’t be? And are they are not discouraging caution by requiring you to fill out all the personal data fields marked with a *? You betcha. See here:

III. How we use and share your information

A. To deliver services

In order to facilitate our delivery of advertising, analytics and other services, we may use and/or share the information we collect, including interest-based segments and user interest profiles containing demographic information, location information, gender, age, interest information and information about your computer, device, or group of devices, including your IP address, with our affiliates and third parties, such as our service providers, data processors, business partners and other third parties.

B. With third party clients and partners

Our online advertising services are used by advertisers, websites, applications and other companies providing online or internet connected advertising services. We may share information, including the information described in section III.A. above, with our clients and partners to enable them to deliver or facilitate the delivery of online advertising. We strive to ensure that these parties act in accordance with applicable law and industry standards, but we do not have control over these third parties. When you opt-out of our services, we stop sharing your interest-based data with these third parties. Click here for more information on opting out.

No need to bother opting out, by the way, because there’s this loophole too:

D. To complete a merger or sale of assets

If we sell all or part of our business or make a sale or transfer of our assets or are otherwise involved in a merger or transfer of all or a material part of our business, or participate in any other similar business combination (including, without limitation, in connection with any bankruptcy or similar proceeding), we may transfer all or part of our data to the party or parties involved in the transaction as part of that transaction. You acknowledge that such transfers may occur, and that we and any purchaser of our business or assets may continue to collect, use and disclose your information in compliance with this Privacy Policy.

Okay, let’s be fair: this is boilerplate. Every marketing company—hell, every company period—puts jive like this in their privacy policies.

And Viant isn’t one of marketing’s bad guys. Or at least that’s not how they see themselves. They do mean well, kinda, if you forget they see no alternative to tracking people.

If you want to see what’s in that report without leaking your ID info to the world, the short cut is New survey by people-based marketer Viant promotes marketing to identified users in @Martech_Today.

What you’ll see there is a company trying to be good to users in a world where those users have no more power than marketers give them. And giving marketers that ability is what Viant does.

Curious… will Viant’s business persist after the GDPR trains heavy ordnance on it?

See, the GDPR  forbids gathering personal data about an EU citizen without that person’s clear permission—no matter where that citizen goes in the digital world, meaning to any site or service anywhere. It arrives in full force, with fines of up to 4% of global revenues in the prior fiscal year, on 25 May of this year: about three months from now.

In case you’ve missed it, I’m not idle here.

To help give individuals fresh GDPR-fortified leverage, and to save the asses of companies like Viant (which probably has lawyers working overtime on GDPR compliance), I’m working with Customer Commons (on the board of which I serve) on terms individuals can proffer and companies can agree to, giving them a form of protection, and agreeable companies a path toward GDPR compliance. And companies should like to agree, because those terms will align everyone’s interests from the start.

I’m also working with Linux Journal (where I’ve recently been elevated to editor-in-chief) to make it one of the first publishers to agree to friendly terms its readers proffer. That’s why I posted Every User a Neo there. Other metaphors: turning everyone on the Net into an Archimedes, with levers to move the world, and turning the whole marketplace in to a Marvel-like universe where all of us are enhanced.

If you want to help with any of that, talk to me.

 

Sometimes you get what you pay for.

In this case, a good microphone in a bluetooth headset.

Specifically, the Bose Soundsport Wireless:

I’ve had these a day so far, and I love them. But not just because they sound good. Lots of earphones do that. I love them because the mic in the thing is good. This is surprisingly rare.

Let’s start with the humble Apple EarPods that are overpriced at $29 but come free with every new Apple i-thing and for that reason are probably the most widely used earphones on Earth:

No, their sound isn’t great. But get this: in conversation they sound good to ears at the other end. Better, in my judgement than the fancy new AirPods. (Though according to Phil Windley in the comments below, they are good at suppressing ambient noise.) The AirPods are also better than lots of other earphones I’ve used: ones from Beats, SkullCandy, Sennheiser and plenty of other brands. (I lose and destroy earphones and headphones constantly.) In all my experience, I have have not heard any earphones or headphones that sound better than plain old EarPods. In fact I sometimes ask, when somebody sounds especially good over a voice connection, if they’re using EarPods. Very often the answer is yes. “How’d you guess?” they ask. “Because you sound unusually good.”

So, when a refurbished iPhone 7 Plus arrived to replace my failing iPhone 5s two days ago, and it came with no headphone hole (bad, but I can live), I finally decided to get some wireless earphones. So I went to Consumer Reports on the Web, printed out their ratings for Wireless Portable Stereo Headphones (alas, behind a subscription wall), went to the local Staples, and picked up a JBL E25BT for $49 against a $60 list price. I chose that one because Consumer Reports gives it a rating of 71 out of 100 (which isn’t bad, considering that 76 is the top rating for any of the 50 models on the list)—and they called it a “best buy” as well.

I was satisfied until I talked to my wife over the JBL on my new phone. “You’re muffled,” she said. Then I called somebody else. “What?” they said. “I can’t hear you.” I adjusted the mic so it was closer to my mouth. “What?” they said again. I switched to the phone itself. “That’s better.” I then plugged the old EarPods into Apple’s Lightning dongle, which I also bought at Staples for $9. “Much better.”

So the next day I decided to visit an Apple Store to see what they had, and recommended. I mean, I figured they’d have a fair chance of knowing.

“I want a good mic more than I want good sound,” I said to the guy.  “Oh,” he replied. “I shouldn’t say this because we don’t sell them; but you need a Bose. They care about mics and theirs are the best. Go to the Best Buy down the street and see what they’ve got.” So I went.

At Best Buy the guy said, “The best mic is in the Bose Soundsport Wireless.” I pulled my six-page Consumer Reports list of rated earphones out of my back pocket. There at the top of the ratings was the Soundsport. So I bought a blue one. Today I was on two long calls and both parties at the other ends said “You sound great.” One added, “Yeah, really good.” So there ya go.

I’m sure there are other models with good mics; but I’m done looking, and I just want to share what I’ve found so far—and to implore all the outfits that rate earphones and headphones with mics to rate the mics too. It’s a kindness to the people at the other end of every call.

Remember: conversations are two-way, and the person speaking has almost no idea how good they’re sounding to the other person over a mobile phone. So give the mics some weight.

And thanks, Bose. Good product.

The term “fake news” was a casual phrase until it became clear to news media that a flood of it had been deployed during last year’s presidential election in the U.S. Starting in November 2016, fake news was the subject of strong and well-researched coverage by NPR (here and here), Buzzfeed, CBS (here and here), Wired, the BBC, Snopes, CNN (here and here), Rolling Stone and others. It thus became a thing…

… until Donald Trump started using it as an epithet for news media he didn’t like. He did that first during a press conference on February 16, and then the next day on Twitter:

And he hasn’t stopped. To Trump, any stick he can whup non-Fox mainstream media with is a good stick, and FAKE NEWS is the best.

So that pretty much took “fake news,” as a literal thing, off the table for everyone other than Trump and his amen chorus.

So, since we need a substitute, I suggest decoy news. Because that’s what we’re talking about: fabricated news meant to look like the real thing.

But the problem is bigger than news alone, because advertising-funded media have been in the decoy business since forever. The difference in today’s digital world is that it’s a lot easier to fabricate a decoy story than to research and produce a real one—and it pays just as well, or even better, because overhead in the decoy business rounds to nothing. Why hire a person to do an algorithm’s job?

In the content business the commercial Web has become, algorithms are now used to target both stories and the advertising that pays for them.

This is why, on what we used to call the editorial side of publishing (interesting trend here), journalism as a purpose has been displaced by content production.

We can see one tragic result in a New York Times story titled In New Jersey, Only a Few Media Watchdogs Are Left, by David Chen (@davidwchen). In it he reports that “The Star-Ledger, which almost halved its newsroom eight years ago, has mutated into a digital media company requiring most reporters to reach an ever-increasing quota of page views as part of their compensation.”

This calls to mind how Saturday Night Live in 1977 introduced the Blues Brothers in a skit where Paul Shaffer, playing rock impresario Don Kirshner, proudly said the Brothers were “no longer an authentic blues act, but have managed to become a viable commercial product.”

To be viably commercial today, all media need to be in the content production business, paid for by adtech, which is entirely driven by algorithms informed by surveillance-gathered personal data. The result looks like this:

To fully grok how we got here, it is essential to understand the difference between advertising and direct marketing, and how nearly all of online advertising is now the latter. I describe the shift from former to latter in Separating Advertising’s Wheat and Chaff:

Advertising used to be simple. You knew what it was, and where it came from.

Whether it was an ad you heard on the radio, saw in a magazine or spotted on a billboard, you knew it came straight from the advertiser through that medium. The only intermediary was an advertising agency, if the advertiser bothered with one.

Advertising also wasn’t personal. Two reasons for that.

First, it couldn’t be. A billboard was for everybody who drove past it. A TV ad was for everybody watching the show. Yes, there was targeting, but it was always to populations, not to individuals.

Second, the whole idea behind advertising was to send one message to lots of people, whether or not the people seeing or hearing the ad would ever use the product. The fact that lots of sports-watchers don’t drink beer or drive trucks was beside the point, which was making brands sponsoring a game familiar to everybody watching it.

In their landmark study, “The Waste in Advertising is the Part that Works” (Journal of Advertising Research, December, 2004, pp. 375–390), Tim Ambler and E. Ann Hollier say brand advertising does more than signal a product message; it also gives evidence that the parent company has worth and substance, because it can afford to spend the money. Thus branding is about sending a strong economic signal along with a strong creative one.

Plain old brand advertising also paid for the media we enjoyed. Still does, in fact. And much more. Without brand advertising, pro sports stars wouldn’t be getting eight and nine figure contracts.

But advertising today is also digital. That fact makes advertising much more data-driven, tracking-based and personal. Nearly all the buzz and science in advertising today flies around the data-driven, tracking-based stuff generally called adtech. This form of digital advertising has turned into a massive industry, driven by an assumption that the best advertising is also the most targeted, the most real-time, the most data-driven, the most personal — and that old-fashioned brand advertising is hopelessly retro.

In terms of actual value to the marketplace, however, the old-fashioned stuff is wheat and the new-fashioned stuff is chaff. In fact, the chaff was only grafted on recently.

See, adtech did not spring from the loins of Madison Avenue. Instead its direct ancestor is what’s called direct response marketing. Before that, it was called direct mail, or junk mail. In metrics, methods and manners, it is little different from its closest relative, spam.

Direct response marketing has always wanted to get personal, has always been data-driven, has never attracted the creative talent for which Madison Avenue has been rightly famous. Look up best ads of all time and you’ll find nothing but wheat. No direct response or adtech postings, mailings or ad placements on phones or websites.

Yes, brand advertising has always been data-driven too, but the data that mattered was how many people were exposed to an ad, not how many clicked on one — or whether you, personally, did anything.

And yes, a lot of brand advertising is annoying. But at least we know it pays for the TV programs we watch and the publications we read. Wheat-producing advertisers are called “sponsors” for a reason.

So how did direct response marketing get to be called advertising ? By looking the same. Online it’s hard to tell the difference between a wheat ad and a chaff one.

Remember the movie “Invasion of the Body Snatchers?” (Or the remake by the same name?) Same thing here. Madison Avenue fell asleep, direct response marketing ate its brain, and it woke up as an alien replica of itself.

It is now an article of faith within today’s brain-snatched advertising business that the best ad is the most targeted and personalized ad. Worse, almost all the journalists covering the advertising business assume the same thing. And why wouldn’t they, given that this is how advertising is now done online, especially by the Facebook-Google duopoly.

And here is why those two platforms can’t fix it: both have AI machines built to give millions of advertising customers ways to target the well-studied eyeballs of billions of people, using countless characterizations of those eyeballs.In fact, the only (and highly ironic) way they can police bad acting on their platforms is by hiring people who do nothing but look for that bad acting.

One fix is regulation. We now have that, hugely, with the General Data Protection Regulation (GDPR). It’s an EU law, but it protects the privacy of EU citizens everywhere—with potentially massive fines. In spirit, if not also in letter (which the platforms are struggling mightily to weasel around), the GDPR outlaws tracking people like tagged animals online. I’ve called the GDPR an extinction event for adtech, and the main reason brands (including the media kind) need to fire it.

The other main fixes begin on the personal side. Don Marti (@dmarti) tweets, “Build technologies to implement people’s norms on sharing their personal data, and you’ll get technologies to help high-reputation sites build ad-supported business models ABSOLUTELY FREE!” Those models are all advertising wheat, not adtech chaff.

Now here’s the key: what we need most are single and simple ways for each of us to manage all our dealings with other entities online. Having separate means, each provided by the dozens or hundreds of sites and services we each deal with, all with different UIs, login/password gauntlets, forms to fill out, meaningless privacy policies and for-lawyers-only terms of service, cannot work. All that shit may give those companies scale across many consumers, but every one of them only adds to those consumers’ relationship overhead. I explain how this will work in Giving Customers Scale, plus many other posts, columns and essays compiled in my People vs. Adtech series, which is on its way to becoming a book. I’d say more about all of it, but need to catch a plane. See you on the other coast.

Meanwhile, the least we can do is start talking about decoy news and the business model that pays for it.

[Later…] I’m on the other coast now, but preoccupied by the #ThomasFire threatening our home in Santa Barbara. Since this blog appears to be mostly down, I’m writing about it at doc.blog.

 

 

 

Tags: , ,

dat is the new love

Personal data, that is.

Because it’s good to give away—but only if you mean it.

And it’s bad to take it, even it seems to be there for the taking.

I bring this up because a quarter million pages (so far) on the Web say “data is the new oil.”

That’s because a massive personal data extraction industry has grown up around the simple fact that our data is there for the taking. Or so it seems. To them. And their apologists.

As a result, we’re at a stage of wanton data extraction that looks kind of like the oil industry did in 1920 or so:

It’s a good metaphor, but for a horrible business. It’s a business we need to reform, replace, or both. What we need most are new industries that grow around who and what we are as individual human beings—and as a society that values what makes us human.

Our data is us. Each of us. It is our life online. Yes, we shed some data in the course of our activities there, kind of like we shed dandruff and odors. But that’s no excuse for the extractors to frack our lives and take what they want, just because it’s there, and they can.

Now think about what love is, and how it works. How we give it freely, and how worthwhile it is when others accept it. How taking it without asking is simply wrong. How it’s better to earn it than to demand it. How it grows when it’s given. How we grow when we give it as well.

True, all metaphors are wrong, but that’s how metaphors work. Time is not money. Life is not travel. A country is not a family. But all those things are like those other things, so we think and talk about each of them in terms of those others. (By saving, wasting and investing time; by arriving, departing, and moving through life; by serving our motherlands, and honoring our founding fathers.)

Oil made sense as a metaphor when data was so easy to take, and the resistance wasn’t there.

But now the resistance is there. More than half a billion people block ads online, most of which are aimed by extracted personal data. Laws like the GDPR have appeared, with heavy fines for taking personal data without clear permission.

I could go on, but I also need to go to bed. I just wanted to get this down while it was in the front of my mind, where it arrived while discussing how shitty and awful “data is the new oil” was when it first showed up in 2006, and how sadly popular it has become since then:

It’s time for a new metaphor that expresses what our personal data really is to us, and how much more it’s worth to everybody else if we keep, give and accept it on the model of love.

You’re welcome.

 

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