Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks

TL;DR

This paper introduces a deep learning approach that combines images and associated words from social media to predict personality traits, revealing correlations between visual content, text, and psychological profiles.

Contribution

It presents a novel methodology for modeling OCEAN personality traits using combined image and text data, leveraging deep neural networks for social media analysis.

Findings

Successful correlation modeling between images and texts for personality prediction

Experimental results align with previous psychology-based studies

Patterns identified in images linked to specific personality traits

Abstract

Social media, as a major platform for communication and information exchange, is a rich repository of the opinions and sentiments of 2.3 billion users about a vast spectrum of topics. To sense the whys of certain social user's demands and cultural-driven interests, however, the knowledge embedded in the 1.8 billion pictures which are uploaded daily in public profiles has just started to be exploited since this process has been typically been text-based. Following this trend on visual-based social analysis, we present a novel methodology based on Deep Learning to build a combined image-and-text based personality trait model, trained with images posted together with words found highly correlated to specific personality traits. So the key contribution here is to explore whether OCEAN personality trait modeling can be addressed based on images, here called \emph{Mind{P}ics}, appearing with certain tags with psychological insights. We found that there is a correlation between those posted images and their accompanying texts, which can be successfully modeled using deep neural networks for personality estimation. The experimental results are consistent with previous cyber-psychology results based on texts or images. In addition, classification results on some traits show that some patterns emerge in the set of images corresponding to a specific text, in essence to those representing an abstract concept. These results open new avenues of research for further refining the proposed personality model under the supervision of psychology experts.