THE IMPLICATIONS OF BIG DATA ON SUBJECTIVITY: A CASE STUDY OF CAMBRIDGE ANALYTICA

Download

index.pdf

Date

2022-1

Author

Şinşek, Muhammed Yasin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

532
views

1055
downloads

This thesis analyzes the implications of big data on subjectivity with a genealogical approach through the case of Cambridge Analytica. The changes in the epistemology, episteme, rationalities and the regimes of truth as a result of data pervasion are discussed. The statistics and the cybernetics as the antecedents of data politics are reviewed and data politics as a new mode of power is put forward. The targets, the objectives, the technologies and the rationalities of this new mode of power are analyzed. The mode of subjectivity that data politics create is evaluated with the examples of Cambridge Analytica, mobile health applications, suspect identification and digital biomarkers.

Subject Keywords

Subjectivity, Big Data, Cybernetics, Data Politics

URI

https://hdl.handle.net/11511/95112

Collections

Graduate School of Social Sciences, Thesis

Suggestions

OpenMETU
Core

A marginalized multilevel model for bivariate longitudinal binary data İnan, Gül; İlk Dağ, Özlem; Department of Statistics (2014) This thesis study considers analysis of bivariate longitudinal binary data. We propose a model based on marginalized multilevel model framework. The proposed model consists of two levels such that the first level associates the marginal mean of responses with covariates through a logistic regression model and the second level includes subject/time specific random intercepts within a probit regression model. The covariance matrix of multiple correlated time-specific random intercepts for each subject is assu...
The Challenges of International Computer-Supported Collaboration Swigger, Kathleen; Alpaslan, Ferda Nur; Brazile, Robert; Harrington, Bryan (2004-10-23) This paper discusses results of a study analyzing how cultural factors affect the performance of distributed collaborative learning teams. Participants in the study included computer science students from the University of North Texas and students from the Middle East Technical University in Ankara, Turkey. The results indicate that a team's cultural attributes are a significant predictor of its performance on programming projects. Cultural attributes most strongly correlated to group performance were those...
The nature of integration among PCK components: A case study of two experienced chemistry teachers Aydın, Sevgi; Boz, Yezdan (Royal Society of Chemistry (RSC), 2013-01-01) In this qualitative case study, we examined the nature of integration among pedagogical content knowledge (PCK) components. To attain the goal, two experienced chemistry teachers' teaching redox reactions and electrochemical cells was observed. The data were collected through card-sorting activity, content representation (CoRe) tool, observation, and interviews. The data analysis included three steps, namely; in-depth analysis, enumerative approach, and constant-comparative methods. Results reveal that know...
The complexity of topological conjugacy of pointed Cantor minimal systems Kaya, Burak (2017-05-01) In this paper, we analyze the complexity of topological conjugacy of pointed Cantor minimal systems from the point of view of descriptive set theory. We prove that the topological conjugacy relation on pointed Cantor minimal systems is Borel bireducible with the Borel equivalence relation Delta(+)(R) on R-N defined by x Delta(+)(R)y double left right arrow {x(i):i is an element of N} = {y(i):i is an element of N}. Moreover, we show that Delta(+)(R) is a lower bound for the Borel complexity of topological co...
Using data analytics for collaboration patterns in distributed software team simulations Dafoulas, Georgios A.; Serce, Fatma C.; SWİGGER, Kathleen; BRAZİLE, Robert; Alpaslan, Ferda Nur; Alpaslan, Ferda Nur; Milewski, Allen (2016-08-05) This paper discusses how previous work on global software development learning teams is extended with the introduction of data analytics. The work is based on several years of studying student teams working in distributed software team simulations. The scope of this paper is twofold. First it demonstrates how data analytics can be used for the analysis of collaboration between members of distributed software teams. Second it describes the development of a dashboard to be used for the visualization of variou...

Citation Formats

M. Y. Şinşek, “THE IMPLICATIONS OF BIG DATA ON SUBJECTIVITY: A CASE STUDY OF CAMBRIDGE ANALYTICA,” M.S. - Master of Science, Middle East Technical University, 2022.