Datamining to Alert the Formation of Women Objectification Stereotypes in Video Games

Objectification of women can be seen in video games where female characters are objectified and hyper-sexualized, dressed scantily and are shown to be subordinate and submissive to male characters. This study shows how knowledge acquisition under artificial intelligence can be used to detect stereotypes and objectification of women in video games. Until now, there is no intelligent system that acquires knowledge and gives feedback to users and video game designers. This is a research based on secondary data. The existing literature review covers the effects of video games on aggression, hostility and obesity. It also shows how video games disrupts the self-concept of young girls and adult women, stereotypes between men and women, that is sexism, how perceptions of people are affectedand the social issues that come with. A conceptual framework on the same is proposed based on 3 main stereotypical concepts that were derived from the existing literature: sexism, scantily-clad women and vision of beauty. The conceptual framework shows how AI can help control the situation, warn parents and help video game designers to make clean and better games.