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