Data and Code for: The COVID-19 Pandemic Disrupted Both School Bullying and Cyberbullying
Principal Investigator(s): View help for Principal Investigator(s) Andrew Bacher-Hicks, Boston University; Joshua Goodman, Boston University; Jennifer Greif Green, Boston University; Melissa K. Holt, Boston University
Version: View help for Version V1
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Project Description
Summary:
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One-fifth of U.S. high school students report being bullied each year. We use internet search data for real-time tracking of bullying patterns as COVID-19 disrupted in-person schooling. We first show that, pre-pandemic, internet searches contain useful information about actual bullying behavior. We then show that searches for school bullying and cyberbullying dropped 30-35 percent as schools shifted to remote learning in spring 2020. The gradual return to in-person instruction starting in fall 2020 partially returns bullying searches to pre-pandemic levels. This rare positive effect may partly explain recent mixed evidence on the pandemic's impact on students' mental health and well-being.
Scope of Project
Subject Terms:
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Covid-19;
Pandemic;
School Bullying;
Cyberbullying;
Google Trends
JEL Classification:
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I20 Education and Research Institutions: General
I28 Education: Government Policy
I31 General Welfare; Well-Being
I20 Education and Research Institutions: General
I28 Education: Government Policy
I31 General Welfare; Well-Being
Geographic Coverage:
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United States
Universe:
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All Google users in the United States.
Data Type(s):
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aggregate data;
other;
survey data
Methodology
Data Source:
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Google Trends, Youth Risk Behavior Survey, Burbio School Opening Tracker.
Unit(s) of Observation:
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U.S. States by Month
Geographic Unit:
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U.S. States
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