Material Type  

 학위논문

 

0016935398

Date and Time of Latest Transaction  

20240214101927

ISBN  

9798380723985

DDC  

396

Author  

Julien, Chris.

Title/Author  

Collective Identity, Sexual Coercion, and Hegemonic Masculinity: Machine Learning and the Discourse of the Manosphere - [electronic resource]

Publish Info  

[S.l.] : The Pennsylvania State University., 2023

Publish Info  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Material Info  

1 online resource(131 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-05, Section: B.

General Note  

Advisor: Felmlee, Diane.

학위논문주기  

Thesis (Ph.D.)--The Pennsylvania State University, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Abstracts/Etc  

요약In this project, I scrape and curate a novel dataset consisting of all posts and comments written in 58 subreddits belonging to the "Manosphere". This is a diffuse social movement concerned with what they believe is the rampant misandry of contemporary feminism. As such, it represents the first study to examine such a breadth of Manosphere discourse and analyze the themes therein, advancing our understanding of the prevalence and ubiquity of the themes of their discourse. This project uniquely captures the main forums in which the Manosphere congregated for over a decade and analyzes the texts therein with machine learning techniques. The aim of this project is to increase our knowledge about the Manosphere, with particular attention paid to: 1) the role of misogynist terrorist attacks and their influence on the Manosphere's discourse and collective identity, 2) the optimal machine learning techniques for analyzing nascent text-based communities, and 3) rhythms of sexual coercion that are normalized in a specific kind of Manosphere post, the "Field Report."In Chapter 2 of this project, I examine the discourse of the Manosphere on Reddit in the aftermath of violent misogynist attacks. Drawing on scholarship related to terrorist studies, collective identity, and precarious masculinity, I show how the main issues of the Manosphere, masculinity, and perceived misandry influence the beliefs and behaviors of the movement's members. I find that varying kinds of posts in the Manosphere forums are influenced differently by the violent attacks. Rather than one uniform pattern of influence following violent attacks, posts with relational topics, where members share interpersonal concerns, are stymied, while posts with ideological topics, where members refine and reiterate their core beliefs, receive a boost in frequency. I discuss the implications of this finding in light of the movement's collective identity.In Chapter 3, I evaluate several different machine learning techniques in the task of predicting popular and controversial content on Reddit. These data contain a class imbalance, common for many text datasets. As such, it advances our understanding of best practices for evaluating small textual datasets with a class imbalance. This is relevant as new communities take root in digital spaces and forums akin to subreddits. I also overview several common metrics for evaluating machine learners for class imbalance prediction tasks, finding balanced accuracy to be most successful.In Chapter 4, I analyze a specific kind of post from the Pick-Up Artist and Seduction communities within the Manosphere: "Field Reports". While many field reports detail consensual interactions, some describe an ebb and flow of resistance to sexual escalation and subsequent persistence even in spite of that resistance. These patterns that are legitimated through the encouraging comments of Manosphere members reify hegemonic masculinity and reproduce gender inequality in contemporary society. I analyze these findings in light of the Traditional Sexual Script, which undergirds the beliefs of these subsets of the Manosphere.

Subject Added Entry-Topical Term  

Feminism.

Subject Added Entry-Topical Term  

Scripts.

Subject Added Entry-Topical Term  

Internet.

Subject Added Entry-Topical Term  

Terrorism.

Subject Added Entry-Topical Term  

Ideology.

Subject Added Entry-Topical Term  

Verbal communication.

Subject Added Entry-Topical Term  

Text analysis.

Subject Added Entry-Topical Term  

Gender.

Subject Added Entry-Topical Term  

Society.

Subject Added Entry-Topical Term  

Violence.

Subject Added Entry-Topical Term  

Community.

Subject Added Entry-Topical Term  

Brainwashing.

Subject Added Entry-Topical Term  

Misogyny.

Subject Added Entry-Topical Term  

Women.

Subject Added Entry-Topical Term  

Mass murders.

Subject Added Entry-Topical Term  

Inequality.

Subject Added Entry-Topical Term  

Social activism.

Subject Added Entry-Topical Term  

Semantics.

Subject Added Entry-Topical Term  

Masculinity.

Subject Added Entry-Topical Term  

Suicides & suicide attempts.

Subject Added Entry-Topical Term  

Womens studies.

Subject Added Entry-Topical Term  

Social research.

Subject Added Entry-Topical Term  

Gender studies.

Subject Added Entry-Topical Term  

Sexuality.

Index Term-Uncontrolled  

Manosphere

Index Term-Uncontrolled  

Rampant misandry

Index Term-Uncontrolled  

Machine learning

Index Term-Uncontrolled  

Field Report

Index Term-Uncontrolled  

Collective identity

Added Entry-Corporate Name  

The Pennsylvania State University.

Host Item Entry  

Dissertations Abstracts International. 85-05B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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소장사항  

202402 2024

Control Number  

joongbu:639561