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Tim Verbeij

Biographic Data

ID4267025
NAMETim Verbeij
GIVEN NAMESTim
FAMILY NAMEVerbeij
SIGNATUREVERBEIJ T
AFFILIATIONSUniversity of Amsterdam
ORCID0000-0003-4684-3620
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS1
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Happiness and Sadness in Adolescents' Instagram Direct Messaging: A Neural Topic Modeling Approach

    Open Access•Tim Verbeij, Ine Beyens et al.•ARTICLE•Social Media + Society•2024•Cited by: 1•References: 45

    We investigated the expressions of happiness and sadness in adolescents' direct messages (DMs) on Instagram. Using neural topic modeling ( BERTopic), we analyzed 211,778 DMs belonging to 96 adolescents, who donated data from 101 Instagram accounts. Results showed that (1) expressions of happiness were more than four times more prevalent than expressions of sadness; (2) the number of DMs containing expressions of happiness and expressions of sadne…

  • Happiness and Sadness in Adolescents' Instagram Direct Messaging: A Neural Topic Modeling Approach

    Open Access•Tim Verbeij, Ine Beyens et al.•ARTICLE•Social Media + Society•2024•Cited by: 1•References: 45

    We investigated the expressions of happiness and sadness in adolescents' direct messages (DMs) on Instagram. Using neural topic modeling ( BERTopic), we analyzed 211,778 DMs belonging to 96 adolescents, who donated data from 101 Instagram accounts. Results showed that (1) expressions of happiness were more than four times more prevalent than expressions of sadness; (2) the number of DMs containing expressions of happiness and expressions of sadne…

  • Happiness and Sadness in Adolescents' Instagram Direct Messaging: A Neural Topic Modeling Approach

    Open Access•Tim Verbeij, Ine Beyens et al.•ARTICLE•Social Media + Society•2024•Cited by: 1•References: 45

    We investigated the expressions of happiness and sadness in adolescents' direct messages (DMs) on Instagram. Using neural topic modeling ( BERTopic), we analyzed 211,778 DMs belonging to 96 adolescents, who donated data from 101 Instagram accounts. Results showed that (1) expressions of happiness were more than four times more prevalent than expressions of sadness; (2) the number of DMs containing expressions of happiness and expressions of sadne…

Anger (1 works) · Computational and Text Analysis Methods (1 works) · Computer Science (1 works) · Happiness (1 works) · Media Influence and Health (1 works) · Opinion Dynamics and Social Influence (1 works) · Psychology (1 works) · Sadness (1 works) · Social media (1 works) · Social Psychology (1 works)

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