Red Is Open-Minded, Blue Is Conscientious: Predicting User Traits From Instagram Image Data

Lisa Branz, Patricia Brockmann, Annika Hinze


Abstract
Various studies have addressed the connection between a user’s traits and their social media content. This paper explores the relationship between gender, age and Big Five personality traits of 179 university students from Germany and their Instagram images. With regards to both image features and image content, significant differences between genders as well as preferences related to age and personality traits emerged. Gender, age and personality traits are predicted using machine learning classification and regression methods. This work is the first of its kind to focus on data from European Instagram users, as well as to predict age from Instagram image features and content on a fine-grained level.
Anthology ID:
2020.peoples-1.3
Volume:
Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Venue:
PEOPLES
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
23–28
Language:
URL:
https://aclanthology.org/2020.peoples-1.3
DOI:
Bibkey:
Cite (ACL):
Lisa Branz, Patricia Brockmann, and Annika Hinze. 2020. Red Is Open-Minded, Blue Is Conscientious: Predicting User Traits From Instagram Image Data. In Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media, pages 23–28, Barcelona, Spain (Online). Association for Computational Linguistics.
Cite (Informal):
Red Is Open-Minded, Blue Is Conscientious: Predicting User Traits From Instagram Image Data (Branz et al., PEOPLES 2020)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/2020.peoples-1.3.pdf