All Survivors Have the Right to Heal: A #Metoomen Content Analysis

Hawkins, Lindsey G.; Mullet, Natira; Brown, Cameron C.; Eggleston, Dane; Gardenhire, Julie

doi:10.1080/08952833.2019.1633840

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…Additionally, the passive nature of data analysis can only retrieve demographic information if it is available on the users’ profiles [ 73 ]. However, some studies used advanced data science models to classify the gender of the users.…”

Section: Methodsmentioning

confidence: 99%

Using Twitter-Based Data for Sexual Violence Research: Scoping Review

Xue¹,

Zhang²,

Zhang³

et al. 2023

J Med Internet Res

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Background Scholars have used data from in-person interviews, administrative systems, and surveys for sexual violence research. Using Twitter as a data source for examining the nature of sexual violence is a relatively new and underexplored area of study. Objective We aimed to perform a scoping review of the current literature on using Twitter data for researching sexual violence, elaborate on the validity of the methods, and discuss the implications and limitations of existing studies. Methods We performed a literature search in the following 6 databases: APA PsycInfo (Ovid), Scopus, PubMed, International Bibliography of Social Sciences (ProQuest), Criminal Justice Abstracts (EBSCO), and Communications Abstracts (EBSCO), in April 2022. The initial search identified 3759 articles that were imported into Covidence. Seven independent reviewers screened these articles following 2 steps: (1) title and abstract screening, and (2) full-text screening. The inclusion criteria were as follows: (1) empirical research, (2) focus on sexual violence, (3) analysis of Twitter data (ie, tweets or Twitter metadata), and (4) text in English. Finally, we selected 121 articles that met the inclusion criteria and coded these articles. Results We coded and presented the 121 articles using Twitter-based data for sexual violence research. About 70% (89/121, 73.6%) of the articles were published in peer-reviewed journals after 2018. The reviewed articles collectively analyzed about 79.6 million tweets. The primary approaches to using Twitter as a data source were content text analysis (112/121, 92.5%) and sentiment analysis (31/121, 25.6%). Hashtags (103/121, 85.1%) were the most prominent metadata feature, followed by tweet time and date, retweets, replies, URLs, and geotags. More than a third of the articles (51/121, 42.1%) used the application programming interface to collect Twitter data. Data analyses included qualitative thematic analysis, machine learning (eg, sentiment analysis, supervised machine learning, unsupervised machine learning, and social network analysis), and quantitative analysis. Only 10.7% (13/121) of the studies discussed ethical considerations. Conclusions We described the current state of using Twitter data for sexual violence research, developed a new taxonomy describing Twitter as a data source, and evaluated the methodologies. Research recommendations include the following: development of methods for data collection and analysis, in-depth discussions about ethical norms, exploration of specific aspects of sexual violence on Twitter, examination of tweets in multiple languages, and decontextualization of Twitter data. This review demonstrates the potential of using Twitter data in sexual violence research.

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Section: Methodsmentioning

confidence: 99%

Using Twitter-Based Data for Sexual Violence Research: Scoping Review

Xue¹,

Zhang²,

Zhang³

et al. 2023

J Med Internet Res

View full text Add to dashboard Cite

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“…Little research has examined the use of social media as a platform to share experiences of ADV (or IPA). Recently, researchers conducted content analyses of Twitter hashtag use about IPA (e.g., #maybehedoesnthityou; McCauley et al, 2018; #metoo; Bogen et al, 2021; #metoomen; Hawkins et al, 2019; #notokay; Bogen et al, 2018). While informative, this research analyzed overall themes in social media posts rather than the use of personal story as a means to discuss how abusive relationships were maintained, with the exception of Cravens et al's research analyzing Twitter posts using the #whyIstayed and #whyIleft hashtags (2015).…”

Section: Obtaining Information Online Youtube and “Storytime”mentioning

confidence: 99%

Women Survivors of Adolescent Dating Violence Describe the Maintenance of Their Abusive Relationships: First Person Stories via YouTube

hegel

Cummings

Toews

et al. 2022

Violence Against Women

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The current study explores the personal stories of young women on their own experiences with adolescent dating violence and focuses on their perceptions of the relevant factors that maintained the relationship over time. To this end, we analyzed seven publicly available videos on YouTube of women explaining their experiences of adolescent dating violence, including how they perceived their relationships to be maintained over time. We identified four major sources these survivors perceived as contributing to the maintenance of adolescent dating violence: the Self, the Partner, the Relational Dynamic, and Other People.

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