Abstract
This study, using conventional content analysis, examined a corpus of #MeToo tweets from the first day the hashtag went viral, October 16th 2017. Of the 10,546 #MeToo tweets collected, three major categories were identified: these included #MeToo Facilitated Self-Disclosure, Messages of Support, and Calling Out Poor Behaviour with 5,243, 1,556, and 1207 tweets, respectively. The majority of disclosure tweets detailed experiences of sexual assault (44%) and experiences that occurred during childhood (29.4%). The results of this study offer valuable insights regarding the information users chose to share during the first day of the #MeToo movement and the nature of sexual harassment and assault experienced by these individuals. This information may be used by policymakers to identify and implement means to reduce the prevalence of sexual harassment and assault.
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