東華大學圖書館 |

Moderating Sex Ed : = How Social Media Content Moderation Impacts Access to Comprehensive Sexual and Reproductive Health Information.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Moderating Sex Ed :/
其他題名:	How Social Media Content Moderation Impacts Access to Comprehensive Sexual and Reproductive Health Information.
作者:	Delmonaco, Dan.
面頁冊數:	1 online resource (253 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-03, Section: A.
Contained By:	Dissertations Abstracts International85-03A.
標題:	Information science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30748380click for full text (PQDT)
ISBN:	9798380375832

Moderating Sex Ed : = How Social Media Content Moderation Impacts Access to Comprehensive Sexual and Reproductive Health Information.
Delmonaco, Dan.

Moderating Sex Ed :How Social Media Content Moderation Impacts Access to Comprehensive Sexual and Reproductive Health Information. - 1 online resource (253 pages)

Source: Dissertations Abstracts International, Volume: 85-03, Section: A.

Thesis (Ph.D.)--University of Michigan, 2023.

Includes bibliographical references

In the United States, the internet is a vital resource for LGBTQ+ youth to meet their sexual and reproductive health information needs, especially those who cannot receive necessary information from family, healthcare providers, and classrooms. In this dissertation, I present three papers that connect content moderation policies and their impacts with access to comprehensive sexual and reproductive health information. Participants in all three studies developed goals and expectations for social media, which became difficult to achieve in their respective information contexts. Through ingenuity, persistence, and algorithmic folk theorization, participants developed strategies to resist platform policies and attempt to achieve their goals. This dissertation's first paper is an interview study further exploring how LGBTQ+ youth seek sexual and reproductive health information online. LGBTQ+ youth participants occupied existing online spaces not explicitly related to health information but would naturally encounter relevant information online in these spaces. These information encounters led participants to shift their information seeking behaviors to intentional sexual health information seeking. Participants explained social media's importance in sexual health and reproductive health information seeking, although many expressed concerns about information credibility. In the second paper, I interviewed healthcare providers and sexual health educators who create sexual and reproductive health content on social media. I explore how experts created accurate health content that users like the LGBTQ+ youth participants might encounter online. Providers and educators overwhelmingly felt that content moderation policies restricted their abilities to share comprehensive and medically accurate sexual and reproductive health information. Participants developed, tested, and shared algorithmic folk theories to make sense of their experiences as content creators. Shadowbanning was a particularly troublesome content moderation experience for participants. For the final paper, I used qualitative surveys and interviews with social media users who experienced content moderation to further understand how they make sense of what they believe to be shadowbanning. Participants used strategies similar to the providers and educators for understanding their content removals and perceived changes in social media engagement and metrics. I propose algorithmic altruism as one such strategy where users collectively understood and resisted how they experienced platform moderation algorithms. Although shadowbanning is difficult to define and platforms typically deny its existence, participants believed it happened to them and used strategies to "prove" that it happened to them. This dissertation extends previous research on content moderation, affordances theories, and algorithmic folk theories. Sexual and reproductive health information on social media provides a unique context for considering how these three research areas coalesce. Social media's imagined affordances influence what participants think they can achieve online. I argue that participants use resistance strategies such as algorithmic folk theories to still use the social media affordances they imagine are possible, especially when experiencing unclear content moderation practices. Opaque content moderation policies shift the burden to users making sense of their online experiences and evading shadowbanning or content removals. In this sexual and reproductive health context, this shift means that providers and educators struggle to share comprehensive and accurate information with potential viewers like LGBTQ+ young people.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798380375832Subjects--Topical Terms:

554358
Information science.
Subjects--Index Terms:

Content moderationIndex Terms--Genre/Form:

542853
Electronic books.

Moderating Sex Ed : = How Social Media Content Moderation Impacts Access to Comprehensive Sexual and Reproductive Health Information.
LDR:05140nmm a2200385K 4500 001 2365360
005 20231213130659.5
006 m o d
007 cr mn ---uuuuu
008 241011s2023 xx obm 000 0 eng d
020 $a 9798380375832
035 $a (MiAaPQ)AAI30748380
035 $a (MiAaPQ)umichrackham004998
035 $a AAI30748380
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Delmonaco, Dan. $3 3706216
245 1 0 $a Moderating Sex Ed : $b How Social Media Content Moderation Impacts Access to Comprehensive Sexual and Reproductive Health Information.
264 0 $c 2023
300 $a 1 online resource (253 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: 85-03, Section: A.
500 $a Advisor: Haimson, Oliver.
502 $a Thesis (Ph.D.)--University of Michigan, 2023.
504 $a Includes bibliographical references
520 $a In the United States, the internet is a vital resource for LGBTQ+ youth to meet their sexual and reproductive health information needs, especially those who cannot receive necessary information from family, healthcare providers, and classrooms. In this dissertation, I present three papers that connect content moderation policies and their impacts with access to comprehensive sexual and reproductive health information. Participants in all three studies developed goals and expectations for social media, which became difficult to achieve in their respective information contexts. Through ingenuity, persistence, and algorithmic folk theorization, participants developed strategies to resist platform policies and attempt to achieve their goals. This dissertation's first paper is an interview study further exploring how LGBTQ+ youth seek sexual and reproductive health information online. LGBTQ+ youth participants occupied existing online spaces not explicitly related to health information but would naturally encounter relevant information online in these spaces. These information encounters led participants to shift their information seeking behaviors to intentional sexual health information seeking. Participants explained social media's importance in sexual health and reproductive health information seeking, although many expressed concerns about information credibility. In the second paper, I interviewed healthcare providers and sexual health educators who create sexual and reproductive health content on social media. I explore how experts created accurate health content that users like the LGBTQ+ youth participants might encounter online. Providers and educators overwhelmingly felt that content moderation policies restricted their abilities to share comprehensive and medically accurate sexual and reproductive health information. Participants developed, tested, and shared algorithmic folk theories to make sense of their experiences as content creators. Shadowbanning was a particularly troublesome content moderation experience for participants. For the final paper, I used qualitative surveys and interviews with social media users who experienced content moderation to further understand how they make sense of what they believe to be shadowbanning. Participants used strategies similar to the providers and educators for understanding their content removals and perceived changes in social media engagement and metrics. I propose algorithmic altruism as one such strategy where users collectively understood and resisted how they experienced platform moderation algorithms. Although shadowbanning is difficult to define and platforms typically deny its existence, participants believed it happened to them and used strategies to "prove" that it happened to them. This dissertation extends previous research on content moderation, affordances theories, and algorithmic folk theories. Sexual and reproductive health information on social media provides a unique context for considering how these three research areas coalesce. Social media's imagined affordances influence what participants think they can achieve online. I argue that participants use resistance strategies such as algorithmic folk theories to still use the social media affordances they imagine are possible, especially when experiencing unclear content moderation practices. Opaque content moderation policies shift the burden to users making sense of their online experiences and evading shadowbanning or content removals. In this sexual and reproductive health context, this shift means that providers and educators struggle to share comprehensive and accurate information with potential viewers like LGBTQ+ young people.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Information science. $3 554358
650 4 $a LGBTQ studies. $3 2122706
650 4 $a Web studies. $3 2122754
653 $a Content moderation
653 $a Reproductive health
653 $a Social media platforms
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0723
690 $a 0646
690 $a 0492
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of Michigan. $b Information. $3 2100858
773 0 $t Dissertations Abstracts International $g 85-03A.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30748380 $z click for full text (PQDT)