First Advisor
Melissa Thompson
Date of Award
Winter 2020
Document Type
Thesis
Degree Name
Bachelor of Arts (B.A.) in Social Science and University Honors
Department
Social Science
Language
English
Subjects
Social evolution, Sociology, Machine learning, Media literacy
DOI
10.15760/honors.965
Abstract
This thesis provides a theory for measuring Social Reality, along with a framework and model which apply that theory to measure presented social reality in media. The framework and model utilize the double helical structure of DNA to create a baseline unit of social reality that can be extracted from media to help measure and categorize social realities. An experiment is provided utilizing a custom built machine learning algorithm to demonstrate the practical application of the theory, framework, and model.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Several frames from the film American Psycho are used/displayed for analysis under the fair use doctrine for educational and scholarly purposes
Persistent Identifier
https://archives.pdx.edu/ds/psu/34436
Recommended Citation
Haughey, Aidan Christopher, "Molecular Social Reality, the Cultural Helix & Sequencing Social DNA" (2020). University Honors Theses. Paper 942.
https://doi.org/10.15760/honors.965