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      Facebook Sharenting in Mothers of Young Children: The Risks Are Worth It but Only for Some

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          Abstract

          Sharenting, or sharing information of children by parents on social media sites, has received much media attention. While offering many benefits, it may also contain risks. The present study used a mixed-methods approach to investigate how understanding of risks and benefits alongside psychosocial variables affected the Facebook sharenting behavior of 190 mothers with young children. Findings reveal that awareness of risks was associated with a decrease in posting frequency, although most still chose to share sensitive information such as pictures and activity information. Furthermore, mothers chose to focus on unlikely safeguarding concerns rather than long-term repercussions such as identity fraud or right to digital privacy. Negative experiences on social media were not associated with reduced posting. This result is particularly important given that perception of most risks outweighed the benefits. Psychosocial factors such as social anxiety may help explain why despite harboring important privacy concerns parents continue to share sensitive information. Future research should focus on highlighting long-term repercussions in this parent population and theoretical work could benefit from incorporating an understanding of how psychological factors motivate and impact this behavior.

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          Most cited references34

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              The kappa statistic in reliability studies: use, interpretation, and sample size requirements.

              This article examines and illustrates the use and interpretation of the kappa statistic in musculoskeletal research. The reliability of clinicians' ratings is an important consideration in areas such as diagnosis and the interpretation of examination findings. Often, these ratings lie on a nominal or an ordinal scale. For such data, the kappa coefficient is an appropriate measure of reliability. Kappa is defined, in both weighted and unweighted forms, and its use is illustrated with examples from musculoskeletal research. Factors that can influence the magnitude of kappa (prevalence, bias, and non-independent ratings) are discussed, and ways of evaluating the magnitude of an obtained kappa are considered. The issue of statistical testing of kappa is considered, including the use of confidence intervals, and appropriate sample sizes for reliability studies using kappa are tabulated. The article concludes with recommendations for the use and interpretation of kappa.
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                Author and article information

                Journal
                Technology, Mind, and Behavior
                American Psychological Association
                2689-0208
                December 30, 2021
                : 2
                : 4
                Affiliations
                [1]School of Psychology and Clinical Language Sciences, University of Reading
                [2]School of Psychology, University of Plymouth
                [3]Southampton Business School, University of Southampton
                Author notes
                Action Editor: Danielle S. McNamara was the action editor for this article.
                Disclosures: We have no known conflict of interest to disclose.
                Data Availability: The data that support the findings of this study are openly available in the Open Science Framework (OSF) repository at https://doi.org/10.17605/OSF.IO/HCMS7 ( Briazu, 2021).
                Open Science Disclosures:

                The data are available at https://doi.org/10.17605/OSF.IO/HCMS7

                [*] Raluca A. Briazu, School of Psychology and Clinical Language Sciences, University of Reading, Office 1S02, Harry Pitt Building, Earley Gate, Reading, RG6 7BE, United Kingdom r.briazu@reading.a.uk
                Author information
                https://orcid.org/0000-0002-7159-1261
                https://orcid.org/0000-0001-9453-4588
                Article
                2022-17601-001
                10.1037/tmb0000051
                70ab1d3b-7c35-4584-a99d-dde08941946a
                © 2021 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
                sharenting,Facebook,mothers,social media,risk-taking

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