Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis

D Azucar, D Marengo, M Settanni - Personality and individual differences, 2018 - Elsevier
The growing use of social media among Internet users produces a vast and new source of
user generated ecological data, such as textual posts and images, which can be collected …

Recommender systems leveraging multimedia content

Y Deldjoo, M Schedl, P Cremonesi, G Pasi - ACM Computing Surveys …, 2020 - dl.acm.org
Recommender systems have become a popular and effective means to manage the ever-
increasing amount of multimedia content available today and to help users discover …

Current challenges and visions in music recommender systems research

M Schedl, H Zamani, CW Chen, Y Deldjoo… - International Journal of …, 2018 - Springer
Music recommender systems (MRSs) have experienced a boom in recent years, thanks to
the emergence and success of online streaming services, which nowadays make available …

“Just the way you are”: Linking music listening on Spotify and personality

I Anderson, S Gil, C Gibson, S Wolf… - Social …, 2021 - journals.sagepub.com
Advances in digital technology have put music libraries at people's fingertips, giving them
immediate access to more music than ever before. Here we overcome limitations of prior …

Deep learning-based personality recognition from text posts of online social networks

D Xue, L Wu, Z Hong, S Guo, L Gao, Z Wu, X Zhong… - Applied …, 2018 - Springer
Personality is an important psychological construct accounting for individual differences in
people. Computational personality recognition from online social networks is gaining …

[BOOK][B] Group recommender systems: an introduction

This book discusses different aspects of group recommender systems which are systems
that help to identify recommendations for groups instead of single users. In this context, the …

What twitter profile and posted images reveal about depression and anxiety

SC Guntuku, D Preotiuc-Pietro, JC Eichstaedt… - Proceedings of the …, 2019 - aaai.org
Previous work has found strong links between the choice of social media images and users'
emotions, demographics and personality traits. In this study, we examine which attributes of …

Predicting individual characteristics from digital traces on social media: A meta-analysis

M Settanni, D Azucar, D Marengo - Cyberpsychology, Behavior, and …, 2018 - liebertpub.com
The increasing utilization of social media provides a vast and new source of user-generated
ecological data (digital traces), which can be automatically collected for research purposes …

[HTML][HTML] Leaving traces behind: Using social media digital trace data to study adolescent wellbeing

M Sultan, C Scholz, W van den Bos - Computers in Human Behavior …, 2023 - Elsevier
Adolescents spend a significant amount of time on social media and there is a great public
worry, from parents to policy makers, about the effect of social media on healthy …

Using computer vision techniques on Instagram to link users' personalities and genders to the features of their photos: An exploratory study

Y Kim, JH Kim - Information Processing & Management, 2018 - Elsevier
Instagram and other photo-based social networking sites have emerged as a popular
medium. Previous studies mainly focused on social media texts, but the current study deals …