ADVANCES IN MODERN PSYCHOLOGY: SEXISM SOCIAL MEDIA DATABASE

Abstract

The goal of this research is to create an Excel database available with piloted content and comments that can be used in online social media research and application regarding sexism. Two separate studies were completed using Qualtrics surveys, one examining the content and one investigating the comments. In each pilot, participants were asked to rate each image or comment on a 7-point Likert scale on its relation to hostile sexism, benevolent sexism, objectification, as well as anger, and insecurity based on descriptors originally suggested in the Ambivalent Sexism Inventory (Glick & Fiske, 1996). Aggregate measures were created using hostile sexism, benevolent sexism, and objectification categories in SPSS. Using the results, the mean and standard deviation were calculated across all participants. This data was then entered into a database according to the type of sexism it displays for access for future social media and/or sexism research. Future research applications for the database will be discussed.