語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Collective Identity, Sexual Coercion...
~
Julien, Chris.
FindBook
Google Book
Amazon
博客來
Collective Identity, Sexual Coercion, and Hegemonic Masculinity: Machine Learning and the Discourse of the Manosphere.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Collective Identity, Sexual Coercion, and Hegemonic Masculinity: Machine Learning and the Discourse of the Manosphere./
作者:
Julien, Chris.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:
131 p.
附註:
Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
Contained By:
Dissertations Abstracts International85-05B.
標題:
Feminism. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30720568
ISBN:
9798380723985
Collective Identity, Sexual Coercion, and Hegemonic Masculinity: Machine Learning and the Discourse of the Manosphere.
Julien, Chris.
Collective Identity, Sexual Coercion, and Hegemonic Masculinity: Machine Learning and the Discourse of the Manosphere.
- Ann Arbor : ProQuest Dissertations & Theses, 2023 - 131 p.
Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
Thesis (Ph.D.)--The Pennsylvania State University, 2023.
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.
ISBN: 9798380723985Subjects--Topical Terms:
526785
Feminism.
Subjects--Index Terms:
Manosphere
Collective Identity, Sexual Coercion, and Hegemonic Masculinity: Machine Learning and the Discourse of the Manosphere.
LDR
:04428nmm a2200421 4500
001
2398541
005
20240812064702.5
006
m o d
007
cr#unu||||||||
008
251215s2023 ||||||||||||||||| ||eng d
020
$a
9798380723985
035
$a
(MiAaPQ)AAI30720568
035
$a
(MiAaPQ)PennState_21383cmj5125
035
$a
AAI30720568
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Julien, Chris.
$3
3768456
245
1 0
$a
Collective Identity, Sexual Coercion, and Hegemonic Masculinity: Machine Learning and the Discourse of the Manosphere.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2023
300
$a
131 p.
500
$a
Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
500
$a
Advisor: Felmlee, Diane.
502
$a
Thesis (Ph.D.)--The Pennsylvania State University, 2023.
520
$a
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.
590
$a
School code: 0176.
650
4
$a
Feminism.
$3
526785
650
4
$a
Scripts.
$3
3682525
650
4
$a
Internet.
$3
527226
650
4
$a
Terrorism.
$3
569041
650
4
$a
Ideology.
$3
521772
650
4
$a
Verbal communication.
$3
3560678
650
4
$a
Text analysis.
$3
3561686
650
4
$a
Gender.
$3
2001319
650
4
$a
Society.
$3
700566
650
4
$a
Violence.
$3
528323
650
4
$a
Community.
$3
531337
650
4
$a
Brainwashing.
$3
729550
650
4
$a
Misogyny.
$3
3231099
650
4
$a
Women.
$3
531755
650
4
$a
Mass murders.
$3
3766685
650
4
$a
Inequality.
$3
3560119
650
4
$a
Social activism.
$3
3556019
650
4
$a
Semantics.
$3
520060
650
4
$a
Masculinity.
$3
526809
650
4
$a
Suicides & suicide attempts.
$3
3556045
650
4
$a
Womens studies.
$3
2122688
650
4
$a
Social research.
$3
2122687
650
4
$a
Gender studies.
$3
2122708
650
4
$a
Sexuality.
$3
816197
653
$a
Manosphere
653
$a
Rampant misandry
653
$a
Machine learning
653
$a
Field Report
653
$a
Collective identity
690
$a
0344
690
$a
0800
690
$a
0211
690
$a
0453
690
$a
0733
710
2
$a
The Pennsylvania State University.
$3
699896
773
0
$t
Dissertations Abstracts International
$g
85-05B.
790
$a
0176
791
$a
Ph.D.
792
$a
2023
793
$a
English
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30720568
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9506861
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入