6 Controlling, Processing, and Commercializing Data
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Paško Bilić
Abstract
In this chapter, we focus on the core dynamic between gathering and processing data with algorithms as means of production for generating and extracting surplus value, protected by patents, trade secrets, and copyrights. We do not know exactly what data companies collect, nor do we know exactly how algorithms process collected data. To study algorithms and data we are largely left with two main options: either to trace the flow of value in the form of money through technological forms, corporate production, and circulation, or to look at consequences of the deployment of (corporate) algorithms in various aspects of society (for example, credit scoring, recommendation systems, automobile navigation, personal assistants, news distribution, and so on). Taking the first option allowed us to focus on monopolization, advertising, regulation, and financialization in Chapters 3, 4, and 5. Now we turn to the social consequences of these techniques.
We do not argue that technological forms through algorithmic techniques establish full-blown, dystopian, and static control. Data-driven companies usually provide a range of behavioural options in line with their assessments of users and their data, thus providing a dynamic balance between flexibility and prediction. Yet, as instruments of perception, analytical techniques focus on human attentiveness of people and things of interest while, at the same time, discarding much of the context from which these persons and things emerged (Amoore & Piotukh, 2015). Control through technological forms is, therefore, a conditioning and structuring mechanism in which the range of options is constantly adapted and individualized in real time to allow profit making and commodity exchange to occur seamlessly in the background.
Abstract
In this chapter, we focus on the core dynamic between gathering and processing data with algorithms as means of production for generating and extracting surplus value, protected by patents, trade secrets, and copyrights. We do not know exactly what data companies collect, nor do we know exactly how algorithms process collected data. To study algorithms and data we are largely left with two main options: either to trace the flow of value in the form of money through technological forms, corporate production, and circulation, or to look at consequences of the deployment of (corporate) algorithms in various aspects of society (for example, credit scoring, recommendation systems, automobile navigation, personal assistants, news distribution, and so on). Taking the first option allowed us to focus on monopolization, advertising, regulation, and financialization in Chapters 3, 4, and 5. Now we turn to the social consequences of these techniques.
We do not argue that technological forms through algorithmic techniques establish full-blown, dystopian, and static control. Data-driven companies usually provide a range of behavioural options in line with their assessments of users and their data, thus providing a dynamic balance between flexibility and prediction. Yet, as instruments of perception, analytical techniques focus on human attentiveness of people and things of interest while, at the same time, discarding much of the context from which these persons and things emerged (Amoore & Piotukh, 2015). Control through technological forms is, therefore, a conditioning and structuring mechanism in which the range of options is constantly adapted and individualized in real time to allow profit making and commodity exchange to occur seamlessly in the background.
Chapters in this book
- Front Matter i
- Contents iii
- List of Figures and Tables iv
- Preface v
- Introduction: The Context of Digital Monopolies 1
- Production, Circulation, and the Science of Forms: Theoretical Foundations 21
- Marxian Perspectives on Monopolies 59
- Platforms, Advertising, and Users 75
- Financialization and Regulation 99
- Controlling, Processing, and Commercializing Data 129
- Conclusion: Contradictions and Alternatives to Data Commodification 157
- Notes 177
- References 189
- Index 219
Chapters in this book
- Front Matter i
- Contents iii
- List of Figures and Tables iv
- Preface v
- Introduction: The Context of Digital Monopolies 1
- Production, Circulation, and the Science of Forms: Theoretical Foundations 21
- Marxian Perspectives on Monopolies 59
- Platforms, Advertising, and Users 75
- Financialization and Regulation 99
- Controlling, Processing, and Commercializing Data 129
- Conclusion: Contradictions and Alternatives to Data Commodification 157
- Notes 177
- References 189
- Index 219
