  Stereotyping can be viewed as oversimplified ideas about social groups. They
can be positive, neutral or negative. The main goal of this paper is to
identify stereotypes for female physical attractiveness in images available in
the Web. We look at the search engines as possible sources of stereotypes. We
conducted experiments on Google and Bing by querying the search engines for
beautiful and ugly women. We then collect images and extract information of
faces. We propose a methodology and apply it to analyze photos gathered from
search engines to understand how race and age manifest in the observed
stereotypes and how they vary according to countries and regions. Our findings
demonstrate the existence of stereotypes for female physical attractiveness, in
particular negative stereotypes about black women and positive stereotypes
about white women in terms of beauty. We also found negative stereotypes
associated with older women in terms of physical attractiveness. Finally, we
have identified patterns of stereotypes that are common to groups of countries.
