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      Using Browser Data to Understand Desires to Spend Time Online

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          Abstract

          There is growing recognition that many people feel the need to regulate their use of the internet and other digital technologies to support their well-being. In this study, we used Mozilla Firefox browser telemetry to investigate the role played by various usage factors in desires to regulate time spent online. In particular, we investigated how six metrics pertaining to time spent on the internet, and the diversity and intensity of use, predict participants’ ( n = 8,094) desires to spend more or less time online. Across all six metrics, we did not find evidence for a relationship between browser usage metrics and participants wanting to spend more or less time online. This finding was robust across various analytical pathways. The study highlights a number of considerations and concerns that need to be addressed in future industry–academia collaborations that draw on trace data or usage telemetry.

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          Teenagers, screens and social media: a narrative review of reviews and key studies

          Amy Orben (2020)
          In light of growing concerns about an increasingly digital adolescence, the academic field investigating how digital technologies affect adolescents' psychological well-being is growing rapidly. In the last years, much research has amassed, and this has been summarised in over 80 systematic reviews and meta-analyses.
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            A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use

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              Asking Questions About Behavior: Cognition, Communication, and Questionnaire Construction

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                Author and article information

                Journal
                Technology, Mind, and Behavior
                American Psychological Association
                2689-0208
                March 15, 2023
                : 4
                : 1
                Affiliations
                [1]Mozilla Foundation, Helsinki, Uusimaa, Finland
                [2]Department of Information Science, Stellenbosch University
                [3]Department of Psychiatry, University of Pittsburgh
                [4]MRC Cognition and Brain Sciences Unit, University of Cambridge
                Author notes
                Action Editor: Danielle S. McNamara was the action editor for this article.
                Jesse D. McCrosky and Douglas A. Parry are joint first authors.
                Acknowledgments: The authors acknowledge the Mozilla Corporation for its support of the initial phases of this research and the provision of the data for the study.
                Funding: Amy Orben is supported by the U.K. Medical Research Council (SWAG/076.G101400), the U.K. Economic and Social Research Council (ES/T008709/1), and a Research Fellowship from Emmanuel College, University of Cambridge. Craig J. R. Sewall is supported by the National Institute of Mental Health (T32MH018951).
                Disclosures: The authors declare that there is no conflict of interest.
                Author Contributions: Jesse D. McCrosky contributed to data curation and investigation. Jesse D. McCrosky and Douglas A. Parry contributed to formal analysis. Jesse D. McCrosky, Douglas A. Parry, Craig J. R. Sewall, and Amy Orben contributed to methodology, writing—original draft, and writing—review & editing. Jesse D. McCrosky, Douglas A. Parry, and Amy Orben contributed to project administration.
                Data Availability: The data collection materials and analysis code are available on the Open Science Framework ( https://osf.io/p3j7v/). Requests to access the synthetic data can be made via https://www.mrc-cbu.cam.ac.uk/bibliography/opendata/request/8782/. The study was preregistered prior to data analysis ( https://osf.io/6wduk/).
                Open Science Disclosures:

                The data for protected access are available at https://www.mrc-cbu.cam.ac.uk/bibliography/opendata/request/8782/

                The experimental materials are available at https://osf.io/p3j7v/

                The pregistration (data exist) is available at https://osf.io/6wduk/

                [*] Douglas A. Parry, Department of Information Science, Stellenbosch University, Arts and Social Sciences Building Room 438, Stellenbosch University Private Bag X1, Matieland, Stellenbosch 7602, South Africa dougaparry@sun.ac.za
                Author information
                https://orcid.org/0000-0002-6443-3425
                Article
                2023-53690-001
                10.1037/tmb0000095
                5f3cb350-e1c7-4465-9e0b-e9c141fbfc3b
                © 2023 The Author(s)

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). This license permits copying and redistributing the work in any medium or format for noncommercial use provided the original authors and source are credited and a link to the license is included in attribution. No derivative works are permitted under this license.

                History

                Education,Psychology,Vocational technology,Engineering,Clinical Psychology & Psychiatry
                digital well-being,trace data,browser telemetry,Mozilla Firefox,log data

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