Northwestern University

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Model Positionality: A Novel Framework for Data Science with Subjective Target Concepts

Description:

Data Science and related fields like Artificial Intelligence, Machine Learning, and Statistics provide indispensable research methods for understanding a wide variety of phenomena from large datasets. However, as methodical and empirical as these methods aim to be, there are many subjective and discretionary choices that the data scientist must make...

Keyword:

human computation, inter-annotator agreement, algorithmic bias, content moderation, and Machine Learning

Subject:

Information science, Artificial intelligence, and Computer science

Creator:

Cambo, Scott Allen

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

06/28/2021

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_810456 and http://dissertations.umi.com/northwestern:15510