Screens and young people
Bullying that follows children home
The headline prevalence figures are artefacts of question wording, and the causal link between cyberbullying and self-harm is not established.
Two things need stating plainly before any number is quoted. First, published cyberbullying prevalence estimates range from roughly 4% to 46% of adolescents, and the spread is almost entirely a product of how the question was asked: lifetime experience of any listed behaviour, victimisation in the past couple of months, or bullying connected to school. All three are defensible measurements of different things. Second, victims show consistently raised rates of self-harm and suicidal behaviour, but the observational literature cannot establish that cyberbullying causes them. Every study in the relevant review was observational, and the reviewers name overlap with face-to-face bullying and prior mental-health difficulty as their finding's largest limitation. For a workplace-oriented comparison point on how digital activity is translated into metrics, see this reference.
Three careful surveys give three different answers
The most widely quoted US figure counts any experience of any listed behaviour, at any point, with no severity or repetition threshold.
46% of US teens report at least one of six cyberbullying behaviours, most commonly offensive name-calling at 32%, with rates highest among girls aged 15–17 at 54%.
Direction: Increase. Strength of evidence: Strong.
Caveat The headline counts a single instance of any listed behaviour with no severity, frequency or intent threshold, so it does not measure sustained bullying.
The largest international survey uses a recent window and a standardised item, and reports a figure a third the size.
15% reported being cyberbullied at least once in the past couple of months (16% of girls and 15% of boys), up from 13% of girls and 12% of boys in 2018.
Direction: Increase. Strength of evidence: Strong.
Caveat The recall window and standardised item make these figures incomparable with lifetime "any behaviour" measures, and the round overlaps the pandemic.
The US federal series, which asks only about bullying connected to school, produces a figure an order of magnitude below Pew's.
19% of students reported being bullied at school and 22% of those said it happened online or by text, implying roughly 4% of all students.
Direction: Cuts both ways. Strength of evidence: Strong.
Caveat The survey asks only about school-connected bullying, so abuse occurring entirely outside school is excluded by design — the clearest illustration that prevalence is an artefact of question wording.
An earlier round of the same survey found 15% reporting online or text-based bullying, with three times as many girls as boys, 21% against 7% (Institute of Education Sciences, 2019). The wording changed between rounds, so the two are not a trend.
Definition, not country, drives most of the variation
That wording drives the number is not merely an inference from the discrepancy above; it has been tested directly.
Mean cyberbullying prevalence was 15.5% for perpetration and 15.2% for victimisation against 34.5% and 36.0% for traditional bullying, and how a study defines bullying significantly predicts the prevalence it reports.
Direction: Cuts both ways. Strength of evidence: Strong.
Caveat Now over a decade old and predating current platforms; the reported confidence intervals are implausibly narrow given the heterogeneity of the included studies.
Cross-country league tables are therefore close to unusable, and any comparison between surveys using different instruments is measuring the instruments.
Cyberbullying has not overtaken bullying in person
On the same evidence, traditional bullying is roughly twice as prevalent, and the two overlap heavily: most children bullied online are also bullied offline. The claim that online abuse has displaced or exceeded bullying in person is not supported by the prevalence data. What differs is continuity — it does not stop at the school gate — which is a claim about character rather than volume, and has not been quantified separately.
The association with self-harm is consistent, the causal claim is not
The association is among the more robust findings here. Its interpretation is not.
Cyberbullying victims had 2.35 times the odds of self-harm (95% CI 1.65–3.34) and 2.10 times the odds of suicidal behaviours (95% CI 1.73–2.55).
Direction: Increase. Strength of evidence: Strong.
Caveat All included studies were observational, the authors name overlap with traditional bullying and mental-health comorbidity as perhaps the biggest limitation, and reverse causality was untested.
An umbrella review six years later put the correlational picture in a wider frame, with effect sizes moderate rather than extreme.
Median correlations were r = 0.24 between victimisation and depression and r = 0.29 with suicidality, while anti-cyberbullying programmes showed a median of only r = −0.07 for reduced victimisation.
Direction: Increase. Strength of evidence: Strong.
Caveat The review reports that 53.6% of the included meta-analyses conducted no quality appraisal of their primary studies, so evidence quality is uneven.
Those correlations are much larger than the associations between screen use and adolescent well-being, a reason to treat victimisation as a more tractable target than screen time. It is not a reason to call the relationship causal.
School programmes reduce it by small amounts
Interventions have been tested properly and they work, at a size that should shape expectations.
School-based programmes reduced cyberbullying perpetration by g = −0.18 (95% CI −0.28 to −0.09) and victimisation by g = −0.13 (95% CI −0.21 to −0.05).
Direction: Decrease. Strength of evidence: Strong.
Caveat Moderator analyses produced few significant findings, so the review cannot identify which components are doing the work.
Because the moderator analyses were largely null, the evidence supports running a school programme but not choosing between them. Related: what schools do about devices and the teachable part of behaviour online.
The short version
- Prevalence estimates range from roughly 4% in the school-linked US federal survey to 46% in Pew's lifetime measure, and the gap is the question, not the children.
- A meta-analysis showed that a study's definition of bullying predicts the prevalence it reports (Modecki et al., 2014).
- Traditional bullying remains about twice as prevalent, so claims that online abuse has overtaken it do not hold.
- Victims show 2.35 times the odds of self-harm in pooled data (John et al., 2018), but every contributing study was observational and none ruled out prior vulnerability, so this is an association and not an established cause.
- School programmes reduce perpetration by g = −0.18 (Polanin et al., 2022), a real but small effect, and the evidence cannot say which components work.