Dataset on individual differences in self-reported personality and inferred emotional expression in profile pictures of Italian Facebook users.

ABSTRACT: We retrieved the current profile picture of 2234 Italian Facebook users who also answered self-report questionnaires on demographic variables and personality. Data were collected between March and June 2018 using a Facebook web application. Profile pictures consisting of 200 × 200 resolution jpegs were obtained by sending a request via the Facebook Graph API and analyzed using online commercial services allowing for the scoring of facial expressions in image data, namely Microsoft Azure Face API and MEGVII Face++ Detect API. Both services provide emotional expression scores if at least one face is successfully detected in the picture. Using the Microsoft Azure Face API we obtained scores for anger, contempt, disgust, fear, joy, sadness, surprise, and neutrality. Using the MEGVII Face++ Det

SUBMITTER: Marengo D 

PROVIDER: S-EPMC8866681 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature