Cyberbullying During the COVID-19 Pandemic Among Children and Adolescents
Handbook of Anger, Aggression, and Violence, Page: 1177-1199
2023
- 4Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
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Book Chapter Description
In March 2020, COVID-19 was declared by the World Health Organization as a pandemic on a global level. Many governments started following longer or shorter periods of national/regional containment, which led to a rapid increase of digitalization at all societal levels. Risks were evident for children and adolescents, since increased information and communication technology use has repeatedly been linked to threats such as cyber-bullying (CB). This chapter reviews findings of empirical studies that investigate possible changes in the prevalence of CB during the COVID-19 lockdowns around the globe. First, we discuss research findings regarding the increase of CB, organized by the geographical region in which each study was conducted (i.e., Europe & USA, Asia, worldwide). Next, evidence of CB decrease, and /or stability is presented, along with possible explanations. Overall, the association between COVID-19 and CB does not appear to be linear, and the evidence is quite ambiguous as some research validated scholars’ concerns about the rise of CB during distance education, while others demonstrated a stable or decreasing rate. Finally, evidence addressing effective CB preventive and intervention practices during stressful times such as the COVID-19 pandemic is presented.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85212012430&origin=inward; http://dx.doi.org/10.1007/978-3-031-31547-3_68; https://link.springer.com/10.1007/978-3-031-31547-3_68; https://dx.doi.org/10.1007/978-3-031-31547-3_68; https://link.springer.com/referenceworkentry/10.1007/978-3-031-31547-3_68
Springer Science and Business Media LLC
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