Measuring adolescents’ well-being: Correspondence of naïve digital traces to survey data


Sivak, Elizaveta ; Smirnov, Ivan



DOI: https://doi.org/10.1007/978-3-030-60975-7_26
URL: https://link.springer.com/chapter/10.1007/978-3-03...
Document Type: Book chapter
Year of publication: 2020
Book title: Social Informatics : 12th International Conference, SocInfo 2020, Pisa, Italy, October 6–9, 2020, proceedings
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 12467
Page range: 352-363
Publisher: Aref, Samin ; Bontcheva, Kalina ; Braghieri, Marco ; Dignum, Frank ; Giannotti, Fosca ; Grisolia, Francesco ; Pedreschi, Dino
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-030-60974-0 , 978-3-030-60975-7
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: Business School > Data Science in the Economic and Social Sciences (Strohmaier, 2022-)
Subject: 004 Computer science, internet
300 Social sciences, sociology, anthropology
330 Economics
Keywords (English): adolescents , depression , psychological well-being , digital traces , validity , sleep , social networks , social media




Dieser Eintrag ist Teil der Universitätsbibliographie.




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