Search results
Results: 65
Number of items: 65
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Dekker, C. A., Sumter, S. R., & Baumgartner, S. E. (2026). Unraveling the dynamics of perceived smartphone overuse and disconnection strategies: Longitudinal insights. New Media & Society, 28(2), 856-878. https://doi.org/10.1177/14614448241303113 -
Baumgartner, S. E., & Kühne, R. (2026). Why Do Users Stop Pleasurable Media Experiences? The Dynamics of Media Experiences and Their Impact on Media Disengagement. Communication Research, 53(4), 455-477. https://doi.org/10.1177/00936502241233017 -
Baumgartner, S. E. (2026). On the stabilization of media effects after repeated exposure: consequences for media effects research. Communication Theory, 36(2), 59–71. https://doi.org/10.1093/ct/qtaf017 -
Sumter, S. R., Baumgartner, S. E., & Wiradhany, W. (2025). Beyond screentime: a 7-day mobile tracking study among college students to disentangle smartphone screentime and content effects on sleep. Behaviour and Information Technology, 44(6), 1260–1276. https://doi.org/10.1080/0144929X.2024.2350663 -
Dekker, C. A., Baumgartner, S. E., Sumter, S. R., & Ohme, J. (2025). Beyond the Buzz: Investigating the Effects of a Notification-Disabling Intervention on Smartphone Behavior and Digital Well-Being. Media Psychology, 28(1), 162–188. https://doi.org/10.1080/15213269.2024.2334025 -
Dekker, C. A., Baumgartner, S. E., & Sumter, S. R. (2025). For you vs. for everyone: The effectiveness of algorithmic personalization in driving social media engagement. Telematics and Informatics, 101, Article 102300. https://doi.org/10.1016/j.tele.2025.102300 -
Gilbert, A., Reinecke, L., Meier, A., Baumgartner, S. E., & Dietrich, F. (2024). Too amused to stop? Self-control and the disengagement process on Netflix. Journal of Communication, 74(5), 387-398. https://doi.org/10.1093/joc/jqae023 -
Azrout, R., van Berlo, Z. M. C., Dubel, R., Jonkman, J. G. F., Wolfers, L. N., & Baumgartner, S. E. (2024). Has the AI Revolution Started Yet? A Status Report on the Use of and the Attitudes Towards ChatGPT in Dutch Society. Tijdschrift voor Communicatiewetenschap, 52(3), 267-287. https://doi.org/10.5117/TCW2024.3.002.AZRO -
Möller, A. M., Vermeer, S. A. M., & Baumgartner, S. E. (2024). Cutting Through the Comment Chaos: A Supervised Machine Learning Approach to Identifying Relevant YouTube Comments. Social Science Computer Review, 42(1), 162-185. https://doi.org/10.1177/08944393231173895
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