Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes

arXiv:2404.11845v1 Announce Type: new
Abstract: Gender stereotypes are pervasive beliefs about individuals based on their gender that play a significant role in shaping societal attitudes, behaviours, and even opportunities. Recognizing the negative implications of gender stereotypes, particularly in online communications, this study investigates eleven strategies to automatically counter-act and challenge these views. We present AI-generated gender-based counter-stereotypes to (self-identified) male and female study participants and ask them to assess their offensiveness, plausibility, and potential effectiveness. The strategies of counter-facts and …

abstract act arxiv automated communications cs.cl cs.cy gender negative opportunities role stereotypes strategies study type