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. 2022 Jun 19;26(6):3541–3567. doi: 10.1177/14614448221100699

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© The Author(s) 2022

This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Figure 2. — Face-ism of images for either gender (female/male) or for the “person” and “intelligent person” queries, by search engine. The four plots correspond to each of the analyzed search engines. The Y-axis shows the average face-ism index of pictures obtained by the query terms (“person” and “intelligent person”) used to retrieve the results from the search engine that are indicated in the X-axis. The legend indicates the color, to distinguish between the pictures corresponding to female faces (black continuous line) or male faces (gray dashed line). Vertical lines crossing the data points indicate bootstrapped 95% confidence intervals. Y-axis is truncated to fit the minimum and maximum values. As an example, in the left plot (Google), the face-ism index was >.5 for the query term “person” when the image showed a female face, whereas it was <.6 when the image showed a male face; for the query term “intelligent person” the face-ism index was >.4 for images that showed a female face, while it was >.6 for images that showed a male face. A lower face-ism index means that the image showed more of a person’s body.