An Observational Analysis of ‘Me Too’ Narratives from YouTube

The ‘me too’ movement originated to help survivors of sexual violence by providing resources and building a community of advocates to exemplify the magnitude of sexual violence victimization. This movement gained momentum via Twitter due to the viral hashtag—#metoo. YouTube is often used as a means...

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Autores principales:	Jordan L. Nelon, Mandy N. Spadine, Megan S. Patterson, Sydney E. Brown, Christina L. Bishop, Lauren M. Woods, Sara K. Fehr
Formato:	article
Lenguaje:	EN
Publicado:	New Prairie Press 2021
Materias:	metoo movement sexual violence social media Special aspects of education LC8-6691 Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/722d51c73287400281e025a54efc0c4e
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spelling	oai:doaj.org-article:722d51c73287400281e025a54efc0c4e2021-11-18T18:45:54ZAn Observational Analysis of ‘Me Too’ Narratives from YouTube10.4148/2572-1836.10882572-1836https://doaj.org/article/722d51c73287400281e025a54efc0c4e2021-04-01T00:00:00Zhttps://newprairiepress.org/cgi/viewcontent.cgi?article=1088&context=hbrhttps://doaj.org/toc/2572-1836The ‘me too’ movement originated to help survivors of sexual violence by providing resources and building a community of advocates to exemplify the magnitude of sexual violence victimization. This movement gained momentum via Twitter due to the viral hashtag—#metoo. YouTube is often used as a means of expression in younger generations, thus sexual violence survivors began using the platform as a way to disseminate ‘me too’ narratives. Therefore, this study aimed to examine how sexual violence narratives resulting from the ‘me too’ movement are being told on YouTube and understand the components of the narratives related to self-blaming mindsets. Based on predetermined search criteria, researchers identified and screened YouTube videos of people sharing ‘me too’ narratives, and developed themes and codes (e.g., type of violence, perpetrator characteristics). Descriptive statistics and a logistic regression were conducted using demographic, experience, and attitudinal data to predict self-blaming mindsets. Sixty-two YouTube videos were included, consisting of 96 individual ‘me too’ stories. The sample was mostly female, and perpetrators were predominately strangers. The model explained 19.3% of the variance in self-blaming attitudes. Odds of self-blaming rose 4.589 times for those who experienced sexual harassment, and 6.109 times for those who experienced rape. If the perpetrator was not mentioned in the video, odds of self-blaming dropped by 89.4%. This study suggests self- blaming beliefs are prominent among victims, even when they have the space to share their story. Overall, our findings support the continued need for further education and support for victims.Jordan L. NelonMandy N. SpadineMegan S. PattersonSydney E. BrownChristina L. BishopLauren M. WoodsSara K. FehrNew Prairie Pressarticlemetoo movementsexual violencesocial mediaSpecial aspects of educationLC8-6691Public aspects of medicineRA1-1270ENHealth Behavior Research, Vol 4, Iss 2 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	metoo movement sexual violence social media Special aspects of education LC8-6691 Public aspects of medicine RA1-1270
spellingShingle	metoo movement sexual violence social media Special aspects of education LC8-6691 Public aspects of medicine RA1-1270 Jordan L. Nelon Mandy N. Spadine Megan S. Patterson Sydney E. Brown Christina L. Bishop Lauren M. Woods Sara K. Fehr An Observational Analysis of ‘Me Too’ Narratives from YouTube
description	The ‘me too’ movement originated to help survivors of sexual violence by providing resources and building a community of advocates to exemplify the magnitude of sexual violence victimization. This movement gained momentum via Twitter due to the viral hashtag—#metoo. YouTube is often used as a means of expression in younger generations, thus sexual violence survivors began using the platform as a way to disseminate ‘me too’ narratives. Therefore, this study aimed to examine how sexual violence narratives resulting from the ‘me too’ movement are being told on YouTube and understand the components of the narratives related to self-blaming mindsets. Based on predetermined search criteria, researchers identified and screened YouTube videos of people sharing ‘me too’ narratives, and developed themes and codes (e.g., type of violence, perpetrator characteristics). Descriptive statistics and a logistic regression were conducted using demographic, experience, and attitudinal data to predict self-blaming mindsets. Sixty-two YouTube videos were included, consisting of 96 individual ‘me too’ stories. The sample was mostly female, and perpetrators were predominately strangers. The model explained 19.3% of the variance in self-blaming attitudes. Odds of self-blaming rose 4.589 times for those who experienced sexual harassment, and 6.109 times for those who experienced rape. If the perpetrator was not mentioned in the video, odds of self-blaming dropped by 89.4%. This study suggests self- blaming beliefs are prominent among victims, even when they have the space to share their story. Overall, our findings support the continued need for further education and support for victims.
format	article
author	Jordan L. Nelon Mandy N. Spadine Megan S. Patterson Sydney E. Brown Christina L. Bishop Lauren M. Woods Sara K. Fehr
author_facet	Jordan L. Nelon Mandy N. Spadine Megan S. Patterson Sydney E. Brown Christina L. Bishop Lauren M. Woods Sara K. Fehr
author_sort	Jordan L. Nelon
title	An Observational Analysis of ‘Me Too’ Narratives from YouTube
title_short	An Observational Analysis of ‘Me Too’ Narratives from YouTube
title_full	An Observational Analysis of ‘Me Too’ Narratives from YouTube
title_fullStr	An Observational Analysis of ‘Me Too’ Narratives from YouTube
title_full_unstemmed	An Observational Analysis of ‘Me Too’ Narratives from YouTube
title_sort	observational analysis of ‘me too’ narratives from youtube
publisher	New Prairie Press
publishDate	2021
url	https://doaj.org/article/722d51c73287400281e025a54efc0c4e
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An Observational Analysis of ‘Me Too’ Narratives from YouTube

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