@inproceedings{branz-etal-2020-red,
title = "Red Is Open-Minded, Blue Is Conscientious: Predicting User Traits From {I}nstagram Image Data",
author = "Branz, Lisa and
Brockmann, Patricia and
Hinze, Annika",
editor = "Nissim, Malvina and
Patti, Viviana and
Plank, Barbara and
Durmus, Esin",
booktitle = "Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.peoples-1.3",
pages = "23--28",
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.",
}
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%0 Conference Proceedings
%T Red Is Open-Minded, Blue Is Conscientious: Predicting User Traits From Instagram Image Data
%A Branz, Lisa
%A Brockmann, Patricia
%A Hinze, Annika
%Y Nissim, Malvina
%Y Patti, Viviana
%Y Plank, Barbara
%Y Durmus, Esin
%S Proceedings of the Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotion’s in Social Media
%D 2020
%8 December
%I Association for Computational Linguistics
%C Barcelona, Spain (Online)
%F branz-etal-2020-red
%X 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.
%U https://aclanthology.org/2020.peoples-1.3
%P 23-28
Markdown (Informal)
[Red Is Open-Minded, Blue Is Conscientious: Predicting User Traits From Instagram Image Data](https://aclanthology.org/2020.peoples-1.3) (Branz et al., PEOPLES 2020)
ACL