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 …

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 …

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 …

Detecting stress based on social interactions in social networks

H Lin, J Jia, J Qiu, Y Zhang, G Shen… - … on Knowledge and …, 2017 - ieeexplore.ieee.org
Psychological stress is threatening people's health. It is non-trivial to detect stress timely for
proactive care. With the popularity of social media, people are used to sharing their daily …

Human and computer personality prediction from digital footprints

J Hinds, A Joinson - Current Directions in Psychological …, 2019 - journals.sagepub.com
Is it possible to judge someone accurately from his or her online activity? The Internet
provides vast opportunities for individuals to present themselves in different ways, from …

Alleviating the new user problem in collaborative filtering by exploiting personality information

I Fernández-Tobías, M Braunhofer, M Elahi… - User Modeling and User …, 2016 - Springer
The new user problem in recommender systems is still challenging, and there is not yet a
unique solution that can be applied in any domain or situation. In this paper we analyze …

A machine-learning framework for predicting multiple air pollutants' concentrations via multi-target regression and feature selection

S Masmoudi, H Elghazel, D Taieb, O Yazar… - Science of the Total …, 2020 - Elsevier
Air pollution is considered one of the biggest threats for the ecological system and human
existence. Therefore, air quality monitoring has become a necessity in urban and industrial …

Investigating audio, visual, and text fusion methods for end-to-end automatic personality prediction

O Kampman, EJ Barezi, D Bertero, P Fung - arXiv preprint arXiv …, 2018 - arxiv.org
We propose a tri-modal architecture to predict Big Five personality trait scores from video
clips with different channels for audio, text, and video data. For each channel, stacked …

Twisty: a multilingual twitter stylometry corpus for gender and personality profiling

B Verhoeven, W Daelemans… - Proceedings of the Tenth …, 2016 - aclanthology.org
Personality profiling is the task of detecting personality traits of authors based on writing
style. Several personality typologies exist, however, the Briggs-Myer Type Indicator (MBTI) is …

User profiling through deep multimodal fusion

G Farnadi, J Tang, M De Cock, MF Moens - Proceedings of the Eleventh …, 2018 - dl.acm.org
User profiling in social media has gained a lot of attention due to its varied set of
applications in advertising, marketing, recruiting, and law enforcement. Among the various …