In the digital economy, children are not consumers of education. Children are the raw material for data production.
A Confession from Within: The Story of Jorge Mazal
Jorge Mazal, former VP of Growth at Duolingo, sat in a conference room at the Pittsburgh office, looking at a screen with user growth charts. The numbers were impressive: when he joined the company in 2017, it was already the most downloaded educational app in the world with hundreds of millions of users. But growth was slowing.
In the four years under his leadership, Duolingo achieved staggering growth—the daily audience increased 4.5 times¹. However, Mazal understood that the company was gradually moving away from its educational mission in favor of maximizing engagement. The main success metric was not learning efficiency, but user retention—the number of people returning every day.
“We turned language learning into a game where the main thing is not to leave it,” Mazal admitted in an interview.
This story is just the tip of the iceberg. Behind every children’s app, educational platform, and social network are people who can be called architects of distraction. They consciously design systems to capture children’s attention, using an arsenal of psychological tricks honed on millions of young users.
What the Research Shows
The Anatomy of Childhood Temptation
The largest study to date on manipulative design in children’s apps was published in JAMA Network Open in 2022². Researchers from the University of Michigan studied 133 unique apps used by 160 children aged 3-5.
The key findings are striking:
- 80% of children’s apps contain manipulative design elements
- The most popular techniques: intrusive notifications, complicated unsubscribe procedures, hidden advertising
- Children from families with a lower socioeconomic status are exposed to more aggressive manipulative practices
A study with 11-12 year old children in Scottish schools revealed a disturbing pattern³: children are acutely aware of online deception, but their understanding is often limited or outdated. They call the creators of deceptive interfaces those who “mean harm,” but at the same time they are overly vigilant, perceiving even harmless warnings as suspicious.
The researchers’ conclusion is ruthless: children are less aware of the difference between advertising and real content and are more easily manipulated than adults.
The Invisible Economy of Children’s Attention
Modern platforms value children’s attention in precise economic terms. Companies track metrics such as:
- The average cost of a minute of a child’s attention
- The cost of keeping a child on the platform 10% longer
- The cost of increasing engagement by 15%
These are not abstract numbers. This is the currency of the new economy, where children’s attention has become more expensive than oil.
The Arsenal of Digital Temptation
1. The Principle of Variable Rewards
At the heart of most successful children’s apps is a psychological principle discovered by B.F. Skinner: unpredictable rewards create a stronger addiction than constant ones.
On social networks and video platforms, children never know what the next feed update will show. It might be a boring post, or it might be a viral video that makes them laugh until they cry. This unpredictability activates the brain’s dopamine system—the same system involved in gambling addiction.
2. The Color Psychology of Childhood Temptation
Every element of the digital interface is carefully selected for maximum impact on the child’s psyche:
- The red color of notifications activates the anxiety system and forces immediate attention
- Bright animations use primitive visual reflexes developed to detect movement
- Sound signals exploit auditory patterns associated with receiving a reward
- Infinite scrolling eliminates natural stopping points, turning content consumption into obsessive behavior
3. Algorithmic Reinforcement
Systems use the principles of operant conditioning, giving out rewards (stars, badges, levels) on a variable schedule, creating a psychological addiction.
4. Emotional Engineering
AI analyzes children’s emotional reactions to different content and selects material that maximizes emotional engagement.
5. Social Pressure
Platforms create artificial social incentives (ratings, comparisons with friends) that force children to spend more time in the app.
The Mirror of Erised in Action: How AI Shapes Children’s Desires
In the world of Harry Potter, the Mirror of Erised showed what a person most desired. Modern algorithms have gone further—they not only reflect children’s desires, but actively shape them.
The Mechanism of Desire Formation
Step 1: Analysis of hidden preferences. AI analyzes thousands of a child’s micro-reactions: which colors they react to positively, which sounds arouse interest, which stories they watch to the end. A “pleasure map” is created—a detailed diagram of what brings the child joy.
Step 2: Amplification of desires. The algorithm begins to reinforce the identified preferences, offering more and more similar content. If a child is interested in dinosaurs, the system literally “floods” their world with dinosaurs: cartoons, games, books, merchandise.
Step 3: Creating dependency. Gradually, the child stops choosing interests independently—they rely on algorithmic recommendations. A syndrome of digital curation is formed: the inability to independently choose entertainment and interests.
How to Recognize Manipulative Design
Red flags in children’s apps:
- Infinite scrolling with no natural stops
- Frequent notifications, especially those using FOMO (“you’ll miss out…”)
- Complicated unsubscribe or account deletion procedures
- Hidden purchases or “accidental” clicks on paid features
- Pressure for immediate decisions (“offer expires in…”)
Positive indicators of ethical products:
- A transparent privacy policy written in plain language
- No collection of unnecessary data (geolocation is not needed for a coloring game)
- A clear distinction between free and paid content
- The ability to use offline without a constant internet connection
- Educational goals are clearly formulated and achieved
A Ray of Light: Examples of Responsible Design
The RITEC Project: UNICEF and the LEGO Foundation
Responsible Innovation in Technology for Children (RITEC) is an international initiative of UNICEF and the LEGO Group, launched in 2020 and funded by the LEGO Foundation⁴. The project aims to create technologies that truly serve the well-being of children.
Key principles of RITEC:
- Involving children in the process of technology development
- Focusing on well-being, not user retention
- International collaboration between developers, psychologists, and child rights advocates
In 2024, the project released the RITEC Design Toolbox—a set of practical tools for designers based on research with more than 750 children from 18 countries⁵.
Apps for Good: Technology Education with an Ethical Focus
Apps for Good is a British charity that has worked with over 200,000 students since 2001⁶, teaching them to create technology to solve social problems.
The organization’s approach:
- “Swimming pool model”—not teaching children to avoid technology, but teaching them to use it safely
- Critical thinking—helping children ask the right questions about technology
- Ethical programming—creating AI algorithms to combat cyberbullying
The International Response: How the World is Protecting Children
The European Union: A Comprehensive Approach
The Digital Services Act (DSA), which entered into force on February 17, 2024, explicitly prohibits the use of dark patterns on online platforms⁷:
- Article 25 prohibits the creation of interfaces designed to deceive users
- Special protection for minors from manipulative design
- Fines of up to 6% of the company’s global turnover
In July 2024, the European Commission brought charges against the platform X (formerly Twitter) for using dark patterns, noting that the “verified accounts” system with a blue checkmark misleads users⁸.
The USA: A Mosaic of State Initiatives
The federal level is moving slowly, but states are taking the initiative:
- California: Age-Appropriate Design Code Act (currently blocked by a court)
- Utah and Arkansas: parental consent requirements for social media
- Florida and Connecticut: direct prohibitions of dark patterns for children
Russia: regulation in the spirit of “protection from harm”
In the Russian context, the protection of children from digital risks is enshrined in the law “On the Protection of Children from Information Harmful to Their Health and Development” (FZ-436). The document has been in effect since 2012 and provides for age-based content labeling, restrictions for nighttime, as well as the blocking of sites with “harmful information.” Roskomnadzor regularly reports on the application of this law, including the control of children’s applications and social networks.
However, unlike the EU or the US, where the emphasis is on the transparency of interfaces and the fight against manipulative design, Russian regulation focuses more on content (violence, drugs, sexual scenes) rather than on interface practices. As a result, a child may be formally protected from “dangerous” content, but not from intrusive algorithms and digital attention-retention techniques.
Age-Specific Protection Strategies
Preschoolers (3-6 years)
The principle of minimization:
- Screen time no more than 1 hour per day (WHO)
- Complete absence of screens 2 hours before bedtime
- Encouragement of long games with physical objects
Younger schoolchildren (7-11 years)
The principle of structuring:
- Creating “monotasking zones” for homework
- Pomodoro technique adapted for children
- Physical timers instead of apps
Teenagers (12-17 years)
The principle of awareness:
- Teaching them to understand the mechanisms of attention capture
- Developing digital self-defense skills
- Apps to block distracting websites during study
The Battle for the Future of Human Thought
The story of the architects of distraction is not just a corporate drama. It is a battle for the future of human thought. Every time a child automatically reaches for their smartphone at the slightest boredom, when they can’t finish a book, when they are lost without algorithmic recommendations—the architects of distraction win another victory.
But the battle is not lost. Parents, teachers, researchers, and even some technology companies are beginning to realize the scale of the problem. Initiatives for ethical design, legislative restrictions, and digital self-defense tools are emerging.
The key question remains open: can we create technologies that develop children’s thinking, rather than exploit it? Or will our children become the first generation in human history incapable of deep concentration?
The answer to this question will be determined by the decisions we make today. In the digital economy, there is no neutrality—every children’s app either develops a child’s cognitive abilities or undermines them.
Not everything that can be measured matters, and not everything that matters can be measured — this principle should guide the development of educational technologies that truly serve children's development, and not just produce impressive metrics for investors.
The battle for children’s attention is a battle for the future of human thought. And the outcome of this battle is determined by the choice we make today.
Sources:
What you should know about the Digital Services Act. (2024).
Mazal, J. (2023). How Duolingo reignited user growth. Lenny’s Newsletter.
UNICEF unveils design toolkit for digital creators. (2024).
Apps For Good. Charity overview.
Digital Services Act: Questions and Answers. European Commission.
