Photodatabase (MIND.set: Construction of Online Tools to Measure Implicit Attitudes and Behavior) ^en-GB

The DeZIM Picture Database (DPD) is a database developed for research purposes. It was created in winter 2020/2021 at the DeZIM Institute by Susanne Veit in collaboration with Iniobong Essien as part of the MIND.set project, which focused on creating an open science research tool for online experiments. The project was funded by the German Federal Ministry for Family Affairs, Senior Citizens, Women and Youth as a short study within the framework of the National Discrimination and Racism Monitoring (NaDiRa). The DPD provides professional photos of 1) Faces: a total of 195 faces of men and women who might be perceived as Black, White, East Asian, or Arab/Turkish 2) Full-body images: the same individuals with full-body images in five variations: neutral, holding a knife, holding a gun, holding a coffee mug, and holding a smartphone 3) Public places: 92 photos of public places (e.g., streets, sidewalks and squares). The face images have been evaluated by an online panel regarding several characteristics, such as attractiveness, emotional positivity, sympathy, perceived intelligence, masculinity/femininity, threat, as well as perceived ethnic group membership and ethnic prototypicality.