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

Research output: Contribution to book/anthology/report/proceeding › Book chapter › Research › peer-review

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Data as humans : representation, accountability, and equality in big data. / Bechmann, Anja.

Human rights in the age of platforms. ed. / Rikke Frank Jørgensen. Cambridge, Mass : MIT Press, 2019. p. 73-94 (Information Policy Series; No. 16).

Research output: Contribution to book/anthology/report/proceeding › Book chapter › Research › peer-review

Harvard

Bechmann, A 2019, Data as humans: representation, accountability, and equality in big data. in RF Jørgensen (ed.), Human rights in the age of platforms. MIT Press, Cambridge, Mass, Information Policy Series, no. 16, pp. 73-94.

APA

Bechmann, A. (2019). Data as humans: representation, accountability, and equality in big data. In R. F. Jørgensen (Ed.), Human rights in the age of platforms (pp. 73-94). MIT Press. Information Policy Series No. 16

CBE

Bechmann A. 2019. Data as humans: representation, accountability, and equality in big data. Jørgensen RF, editor. In Human rights in the age of platforms. Cambridge, Mass: MIT Press. pp. 73-94. (Information Policy Series; No. 16).

MLA

Bechmann, Anja "Data as humans: representation, accountability, and equality in big data". Jørgensen, Rikke Frank (ed.). Human rights in the age of platforms. Cambridge, Mass: MIT Press. (Information Policy Series; Journal number 16). 2019, 73-94.

Vancouver

Bechmann A. Data as humans: representation, accountability, and equality in big data. In Jørgensen RF, editor, Human rights in the age of platforms. Cambridge, Mass: MIT Press. 2019. p. 73-94. (Information Policy Series; No. 16).

Author

Bechmann, Anja. / Data as humans : representation, accountability, and equality in big data. Human rights in the age of platforms. editor / Rikke Frank Jørgensen. Cambridge, Mass : MIT Press, 2019. pp. 73-94 (Information Policy Series; No. 16).

Bibtex

@inbook{c1e01cee78d64846b71e812e1b42840c,

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

abstract = "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 {\textquoteleft}listen{\textquoteright} to the user and optimize products and revenue accordingly or governments that want to {\textquoteleft}adjust{\textquoteright} 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. ",

author = "Anja Bechmann",

year = "2019",

month = nov,

language = "English",

isbn = "9780262039055",

series = "Information Policy Series",

number = "16",

pages = "73--94",

editor = "J{\o}rgensen, {Rikke Frank}",

booktitle = "Human rights in the age of platforms",

publisher = "MIT Press",

}

RIS

TY - CHAP

T1 - Data as humans

T2 - representation, accountability, and equality in big data

AU - Bechmann, Anja

PY - 2019/11

Y1 - 2019/11

N2 - 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.

AB - 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.

M3 - Book chapter

SN - 9780262039055

T3 - Information Policy Series

SP - 73

EP - 94

BT - Human rights in the age of platforms

A2 - Jørgensen, Rikke Frank

PB - MIT Press

CY - Cambridge, Mass

ER -