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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 …
user generated ecological data, such as textual posts and images, which can be collected …
How is extraversion related to social media use? A literature review
T Bowden-Green, J Hinds, A Joinson - Personality and Individual …, 2020 - Elsevier
With nearly 3.5 billion people now using some form of social media, understanding its
relationship with personality has become a crucial focus of psychological research. As such …
relationship with personality has become a crucial focus of psychological research. As such …
Making conversations with chatbots more personalized
M Shumanov, L Johnson - Computers in Human Behavior, 2021 - Elsevier
Many of the world's leading brands and increasingly government agencies are using
intelligent agent technologies, also known as chatbots to interact with consumers. However …
intelligent agent technologies, also known as chatbots to interact with consumers. However …
Uses and gratifications of problematic social media use among university students: A simultaneous examination of the Big Five of personality traits, social media …
K Kircaburun, S Alhabash, ŞB Tosuntaş… - International journal of …, 2020 - Springer
Recent studies suggest that users' preferences of social media use differ according to their
individual differences and use motives, and that these factors can lead to problematic social …
individual differences and use motives, and that these factors can lead to problematic social …
Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey
KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …
information, delivering comments, finding new information, and engaging in discussions that …
Depression detection from social network data using machine learning techniques
Purpose Social networks have been developed as a great point for its users to communicate
with their interested friends and share their opinions, photos, and videos reflecting their …
with their interested friends and share their opinions, photos, and videos reflecting their …
The effect of social media usage characteristics on e-WOM, trust, and brand equity: Focusing on users of airline social media
EJ Seo, JW Park, YJ Choi - Sustainability, 2020 - mdpi.com
Brand equity is a valuable intangible asset for companies, yet is increasingly difficult in
managing in an era with hard to control social media. The purpose of this study was to …
managing in an era with hard to control social media. The purpose of this study was to …
My social network: Group differences in frequency of use, active use, and interactive use on Facebook, Instagram and Twitter
T Laor - Technology in Society, 2022 - Elsevier
The goal of this study is to understand the differences in scope and patterns of frequency of
use and interactive and active consumption on three leading social media platforms …
use and interactive and active consumption on three leading social media platforms …
[HTML][HTML] Personality, gender, and age in the language of social media: The open-vocabulary approach
HA Schwartz, JC Eichstaedt, ML Kern, L Dziurzynski… - PloS one, 2013 - journals.plos.org
We analyzed 700 million words, phrases, and topic instances collected from the Facebook
messages of 75,000 volunteers, who also took standard personality tests, and found striking …
messages of 75,000 volunteers, who also took standard personality tests, and found striking …
Private traits and attributes are predictable from digital records of human behavior
M Kosinski, D Stillwell, T Graepel - Proceedings of the national academy of …, 2013 - pnas.org
We show that easily accessible digital records of behavior, Facebook Likes, can be used to
automatically and accurately predict a range of highly sensitive personal attributes including …
automatically and accurately predict a range of highly sensitive personal attributes including …