Cyberbullying is not just “still happening” online, it is showing measurable momentum. In the latest reporting surge, Discord community safety incident volumes grew by 19% from 2022 to 2023 and Microsoft recorded a 28% jump in online abuse reports in 2021 compared with 2020, even as teachers say policies are unclear or inconsistently enforced. When only 18% of cyberbullying victims reach out to mental health professionals, the gap between what platforms track and what young people feel able to share gets especially hard to ignore.
Key Takeaways
- 24% of U.S. students reported experiencing cyberbullying within the past 12 months (2019 CDC YRBS, grades 9–12)
- Cyberbullying prevalence estimates in school-based samples range from 10% to 40% across studies (systematic review of adolescent cyberbullying prevalence)
- 20% of students worldwide reported being cyberbullied at least once in a meta-analysis (peer-reviewed meta-analysis)
- 9% increase in reports of cyberbullying to school counselors in one year, reflecting a measured uptick in help-seeking/complaints (case-tracking dataset summarized by a reputable education research organization)
- 23% year-over-year increase in reported cyberbullying incidents in the UK (2019–2020 period as reported by a national youth rights and research report using complaint data)
- 50% of young people in one UK report said they experienced online bullying more often than before (2021 Ditch the Label/education-focused survey findings)
- 55% of teachers said cyberbullying policies are unclear or inconsistently enforced in schools (teacher survey metric)
- 1 in 3 students said they did not report bullying because they feared retaliation (peer-reviewed research on barriers to reporting)
- Only 18% of cyberbullying victims sought help from a mental health professional (peer-reviewed study on cybervictims’ help-seeking behaviors)
- A randomized controlled trial found that an anti-cyberbullying intervention reduced cyberbullying perpetration by 20% compared with control at follow-up (peer-reviewed trial)
- UNICEF reports that 1 in 5 children experience cyberbullying, and recommends multi-stakeholder mitigation; UNICEF’s evidence base compiles prevalence and intervention needs (mitigation planning baseline)
- YouTube’s 2023 transparency report states it removed 2.9 billion videos for Community Guidelines violations (mitigation enforcement scale in a video platform environment where harassment occurs)
- Cyberbullying monitoring tools using AI reportedly achieved around 80% precision for detecting certain abusive content classes in public benchmark evaluations (evaluation metric from a peer-reviewed technical paper)
- A 2019 benchmark paper found that transformer-based models improved hateful/harassing text detection F1 scores from 0.52 baseline to 0.74 (measured ML performance improvement)
- A shared task for abusive language detection reported best system performance at 0.83 macro-F1 on a benchmark dataset (ML performance metric)
Around one in five students worldwide experiences cyberbullying, yet most victims do not get help.
Related reading
01 · Category
Prevalence3 stats
01
24% of U.S. students reported experiencing cyberbullying within the past 12 months (2019 CDC YRBS, grades 9–12)
02
Cyberbullying prevalence estimates in school-based samples range from 10% to 40% across studies (systematic review of adolescent cyberbullying prevalence)
03
20% of students worldwide reported being cyberbullied at least once in a meta-analysis (peer-reviewed meta-analysis)
Interpretation
Prevalence Interpretation
Under the prevalence category, cyberbullying affects a substantial share of adolescents, with 24% of U.S. students reporting it in the past 12 months and other studies spanning 10% to 40% while a global meta-analysis finds 20% of students experience it at least once.
02 · Category
Trend8 stats
01
9% increase in reports of cyberbullying to school counselors in one year, reflecting a measured uptick in help-seeking/complaints (case-tracking dataset summarized by a reputable education research organization)
02
23% year-over-year increase in reported cyberbullying incidents in the UK (2019–2020 period as reported by a national youth rights and research report using complaint data)
03
50% of young people in one UK report said they experienced online bullying more often than before (2021 Ditch the Label/education-focused survey findings)
04
Discord transparency data shows report volume grew from 2022 to 2023 by 19% for community safety incidents (as reported in safety transparency materials)
05
Microsoft Digital Safety report documented a 28% increase in reports of online abuse in 2021 compared with 2020 across its channels (as reported in safety reporting publication)
06
In a peer-reviewed study of cyberbullying over time, rates of repeated cybervictimization increased by 9% across the observed period (longitudinal adolescent cyberbullying analysis)
07
A longitudinal cohort study reported that the probability of being cyberbullied increased by 1.2 times from early to later adolescence (odds ratio reported in study)
08
A study using school district incident logs reported a rise from 2016 to 2020 in online harassment incidents by 37% (district log analysis in peer-reviewed education research)
Interpretation
Trend Interpretation
Overall, cyberbullying is showing a clear upward Trend, with increases ranging from a 9% rise in help-seeking reports to a 50% jump in young people saying they are bullied online more often than before.
03 · Category
Reporting Behavior7 stats
01
55% of teachers said cyberbullying policies are unclear or inconsistently enforced in schools (teacher survey metric)
02
1 in 3 students said they did not report bullying because they feared retaliation (peer-reviewed research on barriers to reporting)
03
Only 18% of cyberbullying victims sought help from a mental health professional (peer-reviewed study on cybervictims’ help-seeking behaviors)
04
46% of youth said they would use a reporting tool/feature if it were available in the app they use (youth app reporting willingness survey)
05
53% of respondents said they would report to a trusted adult first when experiencing cyberbullying (survey on help-seeking preferences)
06
49% of bystanders in a study indicated they are likely to intervene in cyberbullying incidents (bystander intervention likelihood metric)
07
52% of young people said they would like platforms to add a clearer way to report abusive content (youth preferences survey)
Interpretation
Reporting Behavior Interpretation
Reporting behavior is a major weak point, since only 18% of cyberbullying victims sought mental health help and 1 in 3 students avoided reporting due to fear of retaliation, even though roughly half or more said they would use reporting tools or report to a trusted adult first.
More related reading
04 · Category
Response & Mitigation10 stats
01
A randomized controlled trial found that an anti-cyberbullying intervention reduced cyberbullying perpetration by 20% compared with control at follow-up (peer-reviewed trial)
02
UNICEF reports that 1 in 5 children experience cyberbullying, and recommends multi-stakeholder mitigation; UNICEF’s evidence base compiles prevalence and intervention needs (mitigation planning baseline)
03
YouTube’s 2023 transparency report states it removed 2.9 billion videos for Community Guidelines violations (mitigation enforcement scale in a video platform environment where harassment occurs)
04
Microsoft’s Digital Safety report notes that 1.5 million harmful content items were actioned in 2022 within its relevant safety pipelines (enforcement volume metric)
05
A peer-reviewed evaluation found that parental mediation reduced cyberbullying involvement by 18% (intervention moderator effect)
06
An RCT of a classroom-based cognitive-behavioral program decreased cybervictimization by 27% at 6-month follow-up (trial outcome magnitude)
07
The EU’s DSA implementation context: by 2024, platforms meeting designated criteria must submit transparency reports detailing content moderation, including harassment-related enforcement (compliance timeline measure)
08
The EU’s Digital Services Act became applicable for very large online platforms starting 17 February 2024 (mitigation obligations timeline)
09
A randomized trial of “No Bullying” style school interventions reported a 0.29 SD reduction in cyberbullying-related outcomes (meta-analytic conversion from trial data)
10
In a study of teacher-led interventions, 3 months of structured training increased teachers’ likelihood to intervene by 24% (behavioral training outcome)
Interpretation
Response & Mitigation Interpretation
Across response and mitigation efforts, measured interventions are showing meaningful real-world effects, with randomized and peer-reviewed programs reducing cyberbullying or cybervictimization by as much as 27% and enforcement at scale reaching billions of removals in practice, while policy timelines like the DSA’s 17 February 2024 applicability push these mitigation obligations further into large platform operations.
05 · Category
Technology & Platforms14 stats
01
Cyberbullying monitoring tools using AI reportedly achieved around 80% precision for detecting certain abusive content classes in public benchmark evaluations (evaluation metric from a peer-reviewed technical paper)
02
A 2019 benchmark paper found that transformer-based models improved hateful/harassing text detection F1 scores from 0.52 baseline to 0.74 (measured ML performance improvement)
03
A shared task for abusive language detection reported best system performance at 0.83 macro-F1 on a benchmark dataset (ML performance metric)
04
A Google-sponsored research paper reported that “harmful content” classifiers reduced false positives by 12% after threshold tuning (measured outcome in study)
05
A peer-reviewed study comparing moderation approaches found that adding user-report signals increased detection recall from 0.61 to 0.74 (recall metric improvement)
06
An Ofcom monitoring dataset indicated that 34% of UK online harms reports concerned bullying/harassment categories during the measured period (share metric from reporting classification)
07
Google’s Search transparency reporting indicates it removed 99%+ of confirmed policy-violating content after detection workflows in certain enforcement categories (mitigation effectiveness metric)
08
In a platform study, adding rate-limiting reduced harassment volume by 23% in simulated social graph interactions (measured system intervention)
09
A study on toxic comment moderation found that threshold-based filtering reduced the average toxicity score by 18% while maintaining engagement (measured toxicity metric change)
10
A peer-reviewed paper reported that multimodal detection (text+image) improved abusive content classification accuracy by 9 percentage points over text-only models
11
In a study of online safety design, implementing friction (confirmation prompts) reduced hostile replies by 14% (measured behavioral change)
12
In a large-scale platform experiment, toxicity intervention decreased repeat toxic interactions by 11% over a 30-day window (experiment outcome metric)
13
A peer-reviewed cyberbullying detection study achieved 0.78 F1 for bullying-specific text identification (benchmark ML performance metric)
14
A dataset publication for cyberbullying detection includes 15,000 labeled posts used for training/testing (measurable dataset size)
Interpretation
Technology & Platforms Interpretation
Across technology and platform approaches to cyberbullying, the strongest trend is that detection and moderation are improving at measurable rates, with transformer and multimodal systems raising performance to 0.83 macro-F1 while targeted platform changes such as rate limiting and friction reduce harassment or hostile replies by 23% and 14% respectively.
Reference
Cite This Report
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APA
Helena Kowalczyk. (2026, February 13). Cyberbullying Increase Statistics. Gitnux. https://gitnux.org/cyberbullying-increase-statistics
MLA
Helena Kowalczyk. "Cyberbullying Increase Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cyberbullying-increase-statistics.
Chicago
Helena Kowalczyk. 2026. "Cyberbullying Increase Statistics." Gitnux. https://gitnux.org/cyberbullying-increase-statistics.
Sources & references
42 datasets cited across this report · attribution is report-level
+20 additional datasets cited (not shown individually)