The Internet has enriched our lives. More and more devices are being connected with us and each other, designed to make our lives comfortable and efficient. But because this online world has created many opportunities and excellent services, we quickly forget to have a critical attitude towards the companies who develop them.
About three years ago I started researching into the mechanics of the Internets' revenue model. It intrigued me that a lot of companies offer 'free' online services, while they were becoming more profitable every month. I grew fascinated by the ignorant position towards the social impact of new technology, and the ways we are connected with the Internet. We mainly focus on the benefits of a service. Like the easiness in communication, following your friends' adventures, sharing stories, ordering stuff from around the world, and the availability of music, entertainment, travel directions and information. It's all there, in your pocket.
By using these services, we create personal data — information that reveals our needs, habits, interest, behavior, health and other details of our personality. By tracking, analyzing, and combining these data, companies can predict our next step. They adjust needs by targeted advertising, they shape thoughts by personalized search results, and they modify behavior by suggesting in what you might be interested. You, your data, your behavior, and your needs, are the revenue model of the Internet.
Services we think to use for free, are being paid with data. It's called a ‘freemium service.’ A commonly used model in the Internet economy. This happened to be quite a logical step, to make the Internet effortless and accessible for the consumer. But since the amount of data that we produce is ballooning, and details and intimacy within this information are increasing. Do we have to consider if this exchange of ‘service’ for ‘information,’ still is a fair trade?
This binary system, where the companies are in control, creates a vast power and knowledge inequality. Where companies know precisely who you are, and you have no clue of their motives. Interesting here is that the most powerful and wealthy companies are currently all data-driven. Think about Amazon, Facebook, Alphabet (mother of Google). And this was changed some years ago from the big oil and energy companies who were before always in this top position. Take Google, who made in 2017 a profit of 110.9 billion dollars, of whom 95,4 billion was only profit from selling targeted advertisements.
Considering the ‘take it or leave it’ system, the power and knowledge inequality and the extraordinary profits, I would say that the data business has enslaved you.
A big part of this research is about the role of privacy in our society. Some experts are saying ‘we have to reclaim our right to be private’ and others ‘privacy is dead.’ There is a division of two-sided in the attitude toward privacy where on the one side people fight for the protection of the traditional concept of privacy; meaning keeping information for yourself. And on the other side people say ‘I don't care I’ve got nothing to hide.’ The right of privacy has nothing to do with if you have or haven’t anything to hide. But that we as a society are protected from companies and governmental institutions.
Besides the commercial side of the data business, are there a lot of ways to apply data for societal benefit. Think about healthcare, education, safety, and infrastructure. These, and more, sectors can all benefit from analyzing behavior patterns and machine learning. We are more connected with computers and with each other, and this gives wonderful opportunities. But to create a safe, well regulated and equivalent data-driven society, we have to reshape our definition of privacy and ownership rights of personal data. We have to design an Internet infrastructure that gives you control.
You are not a consumer, customer, visitor or user of the internet. You are its product.
The Attention Fair. Is an experiment to learn about the mechanics of the data economy and to explore the possibilities of being in control of your data. For this experiment, I created ‘data stocks’ as a speculative system to become the owner of data. You are the product of your own information.
Product // you, me and everybody that produces data
Ingredients // all the types of data a product contains
Tranches // the classification of how valuable an ingredient can be
Co:i:n //the currency for personal data
// the currency logo
Data stock //the system that calculates the value of your data
Product value //the sum value of all your ingredients. Your total value.
data stock in development sept. 2017 - aug. 2018
As a person, you have a certain way of responding to advertisements. You have an opinion about politics or sustainability. You have a social status; you are engaged, divorced, dating, not married yet or do not believe in marriage. You have a career, financial situation, and health condition. It might not seem of great importance to you if you have rodents, cats, dogs or no pets at all. However, for the data industry, these details are of great value. You continuously leave traces of this information, and these are captured, analyzed by companies. Currently, all kinds of fragments of information about you are flowing unregulated somewhere on a server. An inefficient and uncontrollable system. The data stock is designed to structure these data flows, to show what kind of data you produce, to determine the value of your behavior, and most important; to hand over the control to you. You will be the owner of your data stock. You can sell ingredients to commercial parties, donate some for innovation, research or healthcare or lock ingredients for specific institutions. By using data stocks, we can all benefit from the data economics. with data stocks, we can determine your product value.
All data is fragmented into three main categories [demographic], [sociographic] and [psychographic]. Each of these categories consist out of 4 tranches (subcategories) and each tranche has 6 ingredients. The tranche determines how valuable an ingredient is. For example; :health: information will be of more value than your :household: Your behavior defines the score on a ingredient; how many it is worth.
final data stock system
Studio Julia Janssen
//this project is initiated, developed, designed and executed by Julia Janssen. all content on this website are the property of Studio Julia Janssen