Predicting Users’ Personality Based on Their ‘Liked’ Images on Instagram
Year: 2018
Type: conference-paper
Abstract: With the development in technology and the increasing ubiquityof social media services, it has created new opportunities to studypersonality from the digital traces individuals leave behind. Thelarge number of user-generated images on social media hasprompted renewed interests in understanding the psychologicalfactors driving production and consumption behaviours of visualcontent. Instagram is currently the fastest growing photo-sharingsocial media platform, with more than 400 million active usersand nearly 100 million photos shared on the platform daily [1],and generates 1.2 billion likes each day [2]. The understanding ofthe appeal of visual content at an individual level is highlyrelevant to psychometric assessment, social media marketing andinterface personalisation. In this position paper, we address theneed to explore the avenue of automatic personality assessmentusing ‘liked’ images on Instagram.
Authors: Alixe Lay, Bruce Ferwerda
Institutions: University College London, Jönköping University
Language: English
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2789003812