The Revenue Model of Mainstream Social Media : Advancing Discussions on Social Media Based on a European Perspective Derived from Interviews with Scientific and Practical Experts
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%0 Journal Article
%1 sindermann2023revenue
%A Sindermann, Cornelia Martina
%A Scholz, Roland W.
%A Löchner, Nana
%A Heinzelmann, Rebecca
%A Montag, Christian
%D 2023
%I Taylor & Francis
%J International journal of human computer interaction
%K
%R 10.1080/10447318.2023.2278292
%T The Revenue Model of Mainstream Social Media : Advancing Discussions on Social Media Based on a European Perspective Derived from Interviews with Scientific and Practical Experts
@article{sindermann2023revenue,
added-at = {2024-02-23T15:30:35.000+0100},
affiliation = {Sindermann, C (Corresponding Author), Univ Stuttgart, Interchange Forum Reflecting Intelligent Syst, Computat Digital Psychol, Univ Str 32, D-70569 Stuttgart, Germany.
Sindermann, Cornelia; Loechner, Nana; Heinzelmann, Rebecca; Montag, Christian, Ulm Univ, Inst Psychol & Educ, Ulm, Germany.
Sindermann, Cornelia, Univ Stuttgart, Interchange Forum Reflecting Intelligent Syst, Computat Digital Psychol, Stuttgart, Germany.
Scholz, Roland W., Inst Adv Sustainabil Studies IASS, Potsdam, Germany.
Scholz, Roland W., Univ Continuing Educ, Danube Univ Krems, Dept Knowledge & Commun Management, Krems, Austria.
Scholz, Roland W., Swiss Fed Inst Technol, Dept Environm Syst Sci, Zurich, Switzerland.
Sindermann, Cornelia, Univ Stuttgart, Interchange Forum Reflecting Intelligent Syst, Computat Digital Psychol, Univ Str 32, D-70569 Stuttgart, Germany.},
author = {Sindermann, Cornelia Martina and Scholz, Roland W. and Löchner, Nana and Heinzelmann, Rebecca and Montag, Christian},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/24870bc2812496d83c8539eca3873a366/unibiblio},
doi = {10.1080/10447318.2023.2278292},
interhash = {fb0483f9158ce3889a5eaf1304fd7182},
intrahash = {4870bc2812496d83c8539eca3873a366},
issn = {{1044-7318} and {1532-7590}},
journal = {International journal of human computer interaction},
keywords = {},
language = {eng},
publisher = {Taylor & Francis},
pubstate = {prepublished},
research-areas = {Computer Science; Engineering},
timestamp = {2024-02-23T14:30:35.000+0100},
title = {The Revenue Model of Mainstream Social Media : Advancing Discussions on Social Media Based on a European Perspective Derived from Interviews with Scientific and Practical Experts},
unique-id = {WOS:001102921600001},
year = 2023
}
