Calandra Lindstadt, Brittany P. Boyer, E. Ciszek, A. Chung, Gary B. Wilcox
{"title":"Drunk Girl: A brief thematic analysis of Twitter posts about alcohol use and #MeToo","authors":"Calandra Lindstadt, Brittany P. Boyer, E. Ciszek, A. Chung, Gary B. Wilcox","doi":"10.1080/17459435.2021.2016919","DOIUrl":null,"url":null,"abstract":"This research brief presents analyses aimed at characterizing the content of a corpus of original and retweeted Twitter posts related to the role of alcohol intoxication in sexual assault within the context of the #MeToo movement. A text-mining approach was used to collect 25,014 tweets and retweets containing #MeToo and keywords involving alcohol intoxication posted during the year after #MeToo went viral (October 15, 2017 to October 15, 2018). A combination of algorithm-driven cluster analysis and manual qualitative analysis was used to discover the most prominent themes. Analyses revealed that the content of tweets related to alcohol use and #MeToo were overwhelmingly centered around U.S.politics. Analysis of a subsample of 5,566 original (i.e., non-retweeted) tweets revealed fewer politically-focused topics and a noteworthy theme expressing concern for men in the #MeToo era. Findings are discussed in relation to political discourse on social media, the use of #MeToo to express political ideologies, and implications for supporting sexual assault survivors.","PeriodicalId":406864,"journal":{"name":"Qualitative Research Reports in Communication","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Qualitative Research Reports in Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17459435.2021.2016919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This research brief presents analyses aimed at characterizing the content of a corpus of original and retweeted Twitter posts related to the role of alcohol intoxication in sexual assault within the context of the #MeToo movement. A text-mining approach was used to collect 25,014 tweets and retweets containing #MeToo and keywords involving alcohol intoxication posted during the year after #MeToo went viral (October 15, 2017 to October 15, 2018). A combination of algorithm-driven cluster analysis and manual qualitative analysis was used to discover the most prominent themes. Analyses revealed that the content of tweets related to alcohol use and #MeToo were overwhelmingly centered around U.S.politics. Analysis of a subsample of 5,566 original (i.e., non-retweeted) tweets revealed fewer politically-focused topics and a noteworthy theme expressing concern for men in the #MeToo era. Findings are discussed in relation to political discourse on social media, the use of #MeToo to express political ideologies, and implications for supporting sexual assault survivors.