Ad Algorithms (and the importance of their absence)

It is the set of mathematical rules trying to show the user the most suitable ad by analyzing their interests, behaviors, and vulnerabilities.

The main goal of ad algorithms is not to inform people, but to convert all of human attention into commercial money. To keep people on the platform longer, these systems constantly highlight provocative content that often arouses anger, fear, or excessive curiosity. The value of the text is determined entirely by the probability of it being clicked, not its accuracy.

Example: After a shoe search, shoe ads constantly catching the eye on every site visited.

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An ad-supported platform sees the user not as its customer, but as a product to be sold to the advertiser. This model deeply damages the independence of the news. Tracking codes embedded inside applications lead to continuous profiling of personal preferences. An environment free of ad algorithms makes it possible to work only human-focused, without an external motivation. In a design where attention is not sold, there is structurally no need for biased highlighting of content or encouraging provocative headlines.