國立虎尾科技大學 |

Collective Identity, Sexual Coercion, and Hegemonic Masculinity : = Machine Learning and the Discourse of the Manosphere.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Collective Identity, Sexual Coercion, and Hegemonic Masculinity :/
其他題名:	Machine Learning and the Discourse of the Manosphere.
作者:	Julien, Chris.
面頁冊數:	1 online resource (131 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
Contained By:	Dissertations Abstracts International85-05B.
標題:	Feminism. -
電子資源:	click for full text (PQDT)
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. - 1 online resource (131 pages)

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

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

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380723985Subjects--Topical Terms:

558369
Feminism.
Subjects--Index Terms:

ManosphereIndex Terms--Genre/Form:

554714
Electronic books.

Collective Identity, Sexual Coercion, and Hegemonic Masculinity : = Machine Learning and the Discourse of the Manosphere.
LDR:04654ntm a22004337 4500 001 1146637
005 20240812064702.5
006 m o d
007 cr bn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798380723985
035 $a (MiAaPQ)AAI30720568
035 $a (MiAaPQ)PennState_21383cmj5125
035 $a AAI30720568
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Julien, Chris. $3 1472062
245 1 0 $a Collective Identity, Sexual Coercion, and Hegemonic Masculinity : $b Machine Learning and the Discourse of the Manosphere.
264 0 $c 2023
300 $a 1 online resource (131 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
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.
504 $a Includes bibliographical references
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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Feminism. $3 558369
650 4 $a Scripts. $3 1472063
650 4 $a Internet. $3 562311
650 4 $a Terrorism. $3 557490
650 4 $a Ideology. $3 558810
650 4 $a Verbal communication. $3 1466370
650 4 $a Text analysis. $3 1472064
650 4 $a Gender. $3 1214940
650 4 $a Society. $2 eflch $3 934844
650 4 $a Violence. $3 664257
650 4 $a Community. $3 576373
650 4 $a Brainwashing. $3 1472065
650 4 $a Misogyny. $3 1132699
650 4 $a Women. $3 582671
650 4 $a Mass murders. $3 1470619
650 4 $a Inequality. $3 1464663
650 4 $a Social activism. $3 1472066
650 4 $a Semantics. $3 555362
650 4 $a Masculinity. $3 567621
650 4 $a Suicides & suicide attempts. $3 1467383
650 4 $a Womens studies. $3 1372829
650 4 $a Social research. $3 1179269
650 4 $a Gender studies. $3 1179195
650 4 $a Sexuality. $3 963253
653 $a Manosphere
653 $a Rampant misandry
653 $a Machine learning
653 $a Field Report
653 $a Collective identity
655 7 $a Electronic books. $2 local $3 554714
690 $a 0344
690 $a 0800
690 $a 0211
690 $a 0453
690 $a 0733
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The Pennsylvania State University. $3 845556
773 0 $t Dissertations Abstracts International $g 85-05B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30720568 $z click for full text (PQDT)