Data as humans: representation, accountability, and equality in big data

Research output: Contribution to book/anthology/report/proceedingBook chapterResearchpeer-review


In the pursuit of as many different data points as possible online conglomerates develop products that intersect and datafy every aspects of human being from self-reports (social media) to location data (self-driving cars and maps) and biometrics (health apps, exercise wearables and bio-jewellery). These data traces are increasingly used to inform product and processual decisions by companies that want to ‘listen’ to the user and optimize products and revenue accordingly or governments that want to ‘adjust’ behavior using large data streams and big data methods. What are the democratic implications of this data driven economy, in which data-enriched decisions may have profound consequence for the equal representation of individuals in society? How does the democratic society make sure that data traces actually represent the user and that all users are part of the data processing on equal terms? With these questions in mind, the chapter will provide a critical insight into the democratic consequences of (lack of) data quality and machine learning processing.
Original languageEnglish
Title of host publicationHuman rights in the age of platforms
EditorsRikke Frank Jørgensen
Place of publicationCambridge, Mass
PublisherMIT Press
Publication dateNov 2019
ISBN (Print)9780262039055
Publication statusPublished - Nov 2019
SeriesInformation Policy Series


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