Dramatic Digital Communication of Internalized Misogyny: Semiotic Analysis on Pick Me Girl Content on TikTok

Through qualitative research using Roland Barthes' semiotics analysis techniques, this study aims to identify signs of internalized misogyny in dramatic Pick Me Girl content on TikTok. Data analysis was conducted using the Internalized Misogyny Scale by Bozkur, resulting in the discovery of sixteen signs of internalized misogyny. These signs include competition, derogation, male prioritization, self-separation, internalized powerlessness, and self-objectification. By shedding light on these forms of internalized misogyny, this study hopes to foster public awareness and reduce discrimination and violence against women. Additionally, digital content creators can use these findings to create a more positive and empowering image of women. Digital technologies, including social media, should serve as tools to promote and facilitate social development for all genders in society. They should not contribute to gender inequality. In the future, it is hoped that artificial intelligence will be able to recognize gender equality and provide strategies to empower both genders while also restricting any content that promotes inequality.