This study attempted to ascertain the prevalence value of rape myths located within social media user comments on the website Facebook. Research using existing Internet-based comments may provide insight into current attitudes and beliefs surrounding sexual violence. Using a quantitative content analysis, this study gauged the prevalence of rape myths in user comments by referencing a preset code list created with rape myths from the Acceptance of Modern Myths About Sexual Aggression scale (AMMSA) and the Updated Illinois Rape Myth Acceptance Scale (IRMA) and by locating emergent codes in the dataset.
|Commitee:||Hecht, Steven, Yehl, Angela|
|School:||Nova Southeastern University|
|School Location:||United States -- Florida|
|Source:||DAI-A 80/07(E), Dissertation Abstracts International|
|Keywords:||Big data, Rape, Rape myths, Sexual assault, Sexual violence, Social media|
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