عنوان

Big Data Subjectivity

Number

TLpq2408531144

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Big Data Subjectivity

General Material Designation

[Thesis]

First Statement of Responsibility

Affsprung, Daniel

Subsequent Statement of Responsibility

Dobson, James E

Name of Publisher, Distributor, etc.

Dartmouth College

Date of Publication, Distribution, etc.

2020

Specific Material Designation and Extent of Item

153

Dissertation or thesis details and type of degree

M.A.L.S.

Body granting the degree

Dartmouth College

Text preceding or following the note

2020

Text of Note

Big data is much discussed in business, government, and healthcare, but the ascendance of the data-driven approach has consequences beyond these areas, detectable in both discourse and cultural practices such as self-quantification. The questions explored in this work, "Can the data speak for itself?" and "Can the data speak for us?" are sparked by discourse which positions data or numbers as a communicator or speaker. The conceptual metaphor evinced by these enunciations (e.g. "The numbers speak for themselves", "What does the data tell you?") is articulated in this work and critically examined as a supporting element of big data's claims to objectivity. That objectivity, relying as it does on the denial of human subjectivity, intention, and interpretation, becomes especially problematic in cases where the data being examined is generated by human action. Such cases employ a kind of knowledge production Antoinette Rouvroy calls data behaviorism, which crucially alters the way subjects are formed by rendering individual motivations and narratives secondary to predictive quantitative models. This work examines the data behaviorist change in subjectivation together with critical analysis of quantified self practices and Foucauldian understandings of cultural neoliberalism, and studies the relationships between these and the 4P healthcare paradigm.

Algorithm

Big data

Cybernetics

Foucault

Self-quantification

Self-tracking

Affsprung, Daniel

Dobson, James E

Electronic name

p

[Thesis]

276903

a

Y