소장자료
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100 | 1 | ▼aJulien, Chris.▲ | |
245 | 1 | 0 | ▼aCollective Identity, Sexual Coercion, and Hegemonic Masculinity: Machine Learning and the Discourse of the Manosphere▼h[electronic resource]▲ |
260 | ▼a[S.l.]: ▼bThe Pennsylvania State University. ▼c2023▲ | ||
260 | 1 | ▼aAnn Arbor : ▼bProQuest Dissertations & Theses, ▼c2023▲ | |
300 | ▼a1 online resource(131 p.)▲ | ||
500 | ▼aSource: Dissertations Abstracts International, Volume: 85-05, Section: B.▲ | ||
500 | ▼aAdvisor: Felmlee, Diane.▲ | ||
502 | 1 | ▼aThesis (Ph.D.)--The Pennsylvania State University, 2023.▲ | |
506 | ▼aThis item must not be sold to any third party vendors.▲ | ||
520 | ▼aIn 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.▲ | ||
590 | ▼aSchool code: 0176.▲ | ||
650 | 4 | ▼aFeminism.▲ | |
650 | 4 | ▼aScripts.▲ | |
650 | 4 | ▼aInternet.▲ | |
650 | 4 | ▼aTerrorism.▲ | |
650 | 4 | ▼aIdeology.▲ | |
650 | 4 | ▼aVerbal communication.▲ | |
650 | 4 | ▼aText analysis.▲ | |
650 | 4 | ▼aGender.▲ | |
650 | 4 | ▼aSociety.▲ | |
650 | 4 | ▼aViolence.▲ | |
650 | 4 | ▼aCommunity.▲ | |
650 | 4 | ▼aBrainwashing.▲ | |
650 | 4 | ▼aMisogyny.▲ | |
650 | 4 | ▼aWomen.▲ | |
650 | 4 | ▼aMass murders.▲ | |
650 | 4 | ▼aInequality.▲ | |
650 | 4 | ▼aSocial activism.▲ | |
650 | 4 | ▼aSemantics.▲ | |
650 | 4 | ▼aMasculinity.▲ | |
650 | 4 | ▼aSuicides & suicide attempts.▲ | |
650 | 4 | ▼aWomens studies.▲ | |
650 | 4 | ▼aSocial research.▲ | |
650 | 4 | ▼aGender studies.▲ | |
650 | 4 | ▼aSexuality.▲ | |
653 | ▼aManosphere▲ | ||
653 | ▼aRampant misandry▲ | ||
653 | ▼aMachine learning▲ | ||
653 | ▼aField Report▲ | ||
653 | ▼aCollective identity▲ | ||
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710 | 2 | 0 | ▼aThe Pennsylvania State University.▲ |
773 | 0 | ▼tDissertations Abstracts International▼g85-05B.▲ | |
773 | ▼tDissertation Abstract International▲ | ||
790 | ▼a0176▲ | ||
791 | ▼aPh.D.▲ | ||
792 | ▼a2023▲ | ||
793 | ▼aEnglish▲ | ||
856 | 4 | 0 | ▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16935398▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.▲ |
Collective Identity, Sexual Coercion, and Hegemonic Masculinity: Machine Learning and the Discourse of the Manosphere[electronic resource]
자료유형
국외eBook
서명/책임사항
Collective Identity, Sexual Coercion, and Hegemonic Masculinity: Machine Learning and the Discourse of the Manosphere [electronic resource]
개인저자
발행사항
[S.l.] : The Pennsylvania State University. 2023 Ann Arbor : ProQuest Dissertations & Theses , 2023
형태사항
1 online resource(131 p.)
일반주기
Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
Advisor: Felmlee, Diane.
Advisor: Felmlee, Diane.
학위논문주기
Thesis (Ph.D.)--The Pennsylvania State University, 2023.
요약주기
In 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.
주제
Feminism.
Scripts.
Internet.
Terrorism.
Ideology.
Verbal communication.
Text analysis.
Gender.
Society.
Violence.
Community.
Brainwashing.
Misogyny.
Women.
Mass murders.
Inequality.
Social activism.
Semantics.
Masculinity.
Suicides & suicide attempts.
Womens studies.
Social research.
Gender studies.
Sexuality.
Manosphere
Rampant misandry
Machine learning
Field Report
Collective identity
Scripts.
Internet.
Terrorism.
Ideology.
Verbal communication.
Text analysis.
Gender.
Society.
Violence.
Community.
Brainwashing.
Misogyny.
Women.
Mass murders.
Inequality.
Social activism.
Semantics.
Masculinity.
Suicides & suicide attempts.
Womens studies.
Social research.
Gender studies.
Sexuality.
Manosphere
Rampant misandry
Machine learning
Field Report
Collective identity
ISBN
9798380723985
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