Identifying Customer Attitudes Toward the Exploitation of Women in Ads Using Machine Learning

This chapter aimed to identify customer attitudes toward the exploitation of women in ads using machine learning. Primary data were gathered through empirical research, which included 343 questionnaires from Palestinian customers in the Gaza Strip. The findings indicated that consumers had negative attitudes toward the exploitation of women in ads, with a majority expressing dissatisfaction. The findings of this study provide insights for marketers and advertisers to develop more ethical and responsible advertising strategies that align with customer values and preferences. The study demonstrates the potential of machine learning techniques in identifying and analyzing customer attitudes toward social issues in advertising.