Nudging users to pick their product over another, often in a subconscious way, is becoming the predominant way of an advertiser getting its message out there.
Facebook has filed a patent application that would identify elements of photographs to make it easier to target families with ads, by analyzing the photos they post.
Amazon has filed patent applications in the past for functionalities that involve always listening, such as an algorithm that would analyse when people say they “love” or “bought” something. The patent included a diagram where two people have a phone conversation and were served afterwards with separate targeted advertisements.
Document describes Facebook’s ability to use its vast amount of personal data to identify individual users who are “at risk” of changing to competitors’ products, and then target them with advertising at the moment they would be about to switch.
Since Zuckerberg’s “dumb fucks” comment, Facebook has gone to great lengths to convince members of the public that it’s all about “connecting people” and “building a global community”. This pseudo-uplifting marketing speak is much easier for employees and users to stomach than the mission of “guzzling personal data so we can micro-target you with advertising”.
Facebook increasingly talks about itself as a community platform, but that is not the reality. Facebook’s core purpose is to sell targeted content to individuals.
Scripts work by injecting invisible login forms in the background of the webpage and scooping up whatever the browsers autofill into the available slots. That information can then be used as a persistent ID to track users from page to page, a potentially valuable tool in targeting advertising.
A former advertising executive who spent two decades working with Big Food corporations has revealed how they are still working to persuade us to eat more sugar and junk food in spite of the obesity epidemic.
The spread of misinformation and propaganda online has exploded partly because of the way the advertising systems of large digital platforms such as Google or Facebook have been designed to hold people’s attention.
Instart Logic's technology disguises third-party network requests so they appear to be first-party network requests. This allows ad services used by website publishers to place cookies and serve ads that would otherwise be blocked by the browser's same-origin security model.
New iOS 11 and macOS High Sierra will stop ads following Safari users, prompting open letter claiming Apple is destroying internet’s economic model.
Facebook is uniquely aggressive in opposing all forms of regulation on its technology. Rather than wading into policy fights itself, Facebook has turned to lower-profile trade groups such as the Internet Association, based in Washington, D.C., and the Illinois-based trade association CompTIA to head off bills that would give users more control over how their likenesses are used or whom they can be sold to. Facebook is working on advanced recognition technology that would put names to faces even if they are obscured and identify people by their clothing and posture. Facebook has filed patents for technology allowing Facebook to tailor ads based on users’ facial expressions.
Divisive multimedia feature adopted by Facebook, Twitter and others could soon be a feature of Google search results.
Google has begun trawling through billions of personal credit card records, matching them to your browser, location and advertising histories.
Facebook appears to be using its considerable cache of user data to single out teens—including those who are feeling down—in an attempt to sell ads that target them.
Facebook has and does offer “psychometric”-type targeting, where the goal is to define a subset of the marketing audience that an advertiser thinks is particularly susceptible to their message.
Windows 10 has started nagging people to buy a subscription to OneDrive.
Targeted advertising is familiar to anyone browsing the Internet. A startup called Synaps Labs has brought it to the physical world by combining high-speed cameras set up a distance ahead of the billboard (about 180 meters) to capture images of cars. Its machine-learning system can recognize in those images the make and model of the cars an advertiser wants to target. A bidding system then selects the appropriate advertising to put on the billboard as that car passes.
Facebook is going beyond the tacit agreement that it provides a free service in exchange for online personal information. It has contracts with several data brokers that provide Facebook with information about your offline life—things like how much money you make, where you like to eat out, and how many credit cards you keep. It is using that data to flesh out its advertising profile of you, and it isn’t telling you about it.
Facebook has conducted covert experiments on its users to evaluate how Facebook can emotionally influence people. To give them access to which of the things on your feed you are most reactive to—it’s really useful information that tells them to not just tailor content to what they think you like, but they can push you. All these different systems are looking to mine this data, hoping to understand our hopes or fears as a way of deciding how to sell us something, as a way of deciding whether we’re dangerous, as a way of deciding whether we’re worthy of getting a loan.