What does it take for you to read this text until the end? Interest, willpower, focus, paying attention, suitable environmental conditions, motivation… Let’s assume you are not interested, but all the other conditions are in place. Could you finish reading it? You might struggle a bit, maybe get bored, but you would probably succeed. But what if you cannot direct your attention? In that case, even completing the simplest text can turn into a real challenge.
What Is The Attention Economy?
The attention economy is a system that treats people’s limited attention as a valuable resource and creates competition among platforms for this resource. From social media applications to news websites, everyone tries to keep users’ mental focus for as long as possible. In this model, the real value comes from how long people pay attention, rather than the content itself.
How Does This System Operate?
To retain attention, platforms use features such as infinite scrolling, notification overload, autoplay, and personalized content ranking. The role of algorithms is to identify and highlight anything that increases the likelihood of you staying on the platform. This process activates the brain’s reward mechanisms. Small stimuli such as likes, comments, and notifications trigger dopamine release, pulling users back into the app. As a result, attention is continuously stimulated at both psychological and neurobiological levels.
Another dimension of the attention economy is its economic incentive structure. Platforms’ revenue models are based on selling users’ attention to advertisers. The longer a user stays on a platform, the more ads are shown. Therefore, companies are incentivized not to protect users, but to keep them engaged for as long as possible. This structural reality raises ethical questions about design. Instead of capturing people’s attention, platforms should develop alternative methods that aim to protect it.
What Are The Neurobiological Factors Affecting Attention?
Among the neurobiological factors influencing attention, dopamine balance, sleep patterns, stress levels, and overstimulation play a significant role.
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Dopamine is linked to the brain’s reward system and causes attention to shift toward stimuli that provide rapid gratification.
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Sleep deprivation reduces the effectiveness of the prefrontal cortex, weakening focus and cognitive control.
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Stress increases cortisol levels, narrowing attentional processes and forcing the mind into a threat-oriented mode of operation.
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Overstimulation, caused by constant notifications and intense digital stimuli, overstimulates the nervous system and leads to shorter attention spans.
When considered together, these factors show that the brain’s attention system is highly sensitive to both environmental and biological influences.
What Are The Problems With This System?
The designs of platforms that attempt to control the attention economy lead to many negative effects in individuals’ daily lives. Excessive technology use brings difficulties such as dopamine dependency, sleep problems, attention deficits, loss of productivity, and reduced social relationships. The main effects of the attention economy on individuals are listed below.
1. Difficulty Focusing
In a study examining attention span, tracking systems were installed on computers, and it was found that students switched tasks every 65 seconds (Yeykelis et al., 2014). Similarly, when attention is interrupted, it can take up to 23 minutes to fully return to the task (Mark et al., 2015). Constantly fragmented attention makes deep focus difficult. While the time required to fully immerse oneself in a task increases, mental noise also intensifies. The main problem of a system that tries to capture our attention is that we struggle to focus on our work, our relationships, our health, and even the present moment.
2. Excessive Information Load
It was found that the average person was exposed to information equivalent to 40 newspapers per day in 1986, whereas in 2007 this number rose to 174 newspapers per day (Hilbert & López, 2011). Because platforms focus more on keeping us engaged than on informing us, we are exposed to a great deal of unnecessary information. However, this is not necessarily beneficial. Another study found that the more information people consume, the less attention they pay to individual topics (Lorenz-Spreen et al., 2019). With the dramatic increase in information exposure in the digital age, attention has become increasingly shallow and fragmented.
3. Disrupted Time Management
The rapid succession of constantly changing content can disrupt time management. Hours can pass on applications entered with the intention of “just checking for a few minutes.” Practices such as yoga and meditation can help individuals detach from intense information flow and notifications, significantly improving attentional skills (Claxton, 2015).
4. Exposure To Harmful Content
As seen in the concept of “clickbait,” prioritizing the most attention-grabbing content often makes emotional material (anger, fear, provocation, or overly curiosity-inducing headlines) more visible. This not only affects individual mood, but can also fuel societal polarization (Piccardi et al., 2025).
What Are The Possible Solutions?
Although the solution does not rest entirely on the user’s shoulders, individual awareness is an important first step. Limiting notifications, creating focused work periods, and tracking screen time can help protect attention. For example, planning technology-free and technology-allowed time blocks throughout the day can help create balance.
Planning Technology-Free Time: Spending the first 30–60 minutes after waking up and the last hour before going to bed without screens can support mental recovery. On weekends, allocating specific periods—such as Saturday from 10:00 to 13:00—for offline activities like nature walks, reading, or household chores can help establish a balanced routine.
Planning Technology-Allowed Time: Online tasks such as email and work-related activities can be scheduled between 09:00 and 11:00, while the 19:00–20:00 period can be reserved for social media, news consumption, or entertainment.
In addition, at a systemic level, platforms can develop more transparent algorithms, adopt design principles that reduce attention consumption, and prioritize users’ real needs.
Recognizing The Effects
In an interview in the book Stolen Focus (Hari, 2022), the author says: If someone were to throw a bucket of mud onto your windshield while you were driving, many problems would arise—you might be late, crash, or get lost. But before worrying about any of that, the first thing you need to do is clean the windshield. If we want to produce something and improve ourselves, we must first protect our attentional capacity.
During the few minutes you spent reading this text, you may have received a notification on your phone, been distracted by a sound around you, or had your mind drift to another topic. As we have seen, attention is not always fully under individual control; it is easily influenced by environmental factors and digital design choices. Recognizing who directs our attention and for what purposes is the most fundamental step toward not getting lost in this economy.
References
Claxton, G. (2015). Intelligence in the flesh: Why your mind needs your body much more than it thinks. Yale University Press.
Hari, J. (2022). Stolen Focus: Why You Can’t Pay Attention. (B. E. Aksoy, Trans.). Metis Publishing.
Hilbert, M., & López, P. (2011). The world’s technological capacity to store, communicate, and compute information. Science, 332(6025), 60–65.
Lorenz-Spreen, P., Mønsted, B. M., Hövel, P., & Lehmann, S. (2019). Accelerating dynamics of collective attention. Nature Communications, 10(1), 1759.
Mark, G., Iqbal, S., Czerwinski, M., & Johns, P. (2015, February). Focused, aroused, but so distractible: Temporal perspectives on multitasking and communications. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (pp. 903–916).
Piccardi, T., Saveski, M., Jia, C., Hancock, J., Tsai, J. L., & Bernstein, M. S. (2025). Reranking partisan animosity in algorithmic social media feeds alters affective polarization. Science, 390(6776), eadu5584.
Yeykelis, L., Cummings, J. J., & Reeves, B. (2014). Multitasking on a single device: Arousal and the frequency, anticipation, and prediction of switching between media content on a computer. Journal of Communication, 64(1), 167–192.