{ "slug": "cyberbullying-teen", "question": "What are the odds of a teenager being cyberbullied?", "category": "tech", "tags": [ "kids" ], "no_reliable_estimate": false, "perceived": { "description": "Parents tend to worry about cyberbullying the way they worry about stranger abduction: as a dramatic, identifiable event that either happens or does not. The mental model is a sustained harassment campaign — viral humiliation, coordinated pile-ons, sextortion — and the assumed prevalence is \"rare but devastating.\" Public discourse reinforces this framing through high-profile cases that make the news precisely because they ended in suicide or school withdrawal. The result is a perception gap that runs in the opposite direction from most entries on this site: parents underestimate how common garden-variety cyberbullying is because they are calibrated to the extreme tail of the distribution. When Pew asked teens directly in 2022, 46% reported experiencing at least one form of online harassment, a number that surprises most adults.\n", "rough_estimate": "Parents tend to think of cyberbullying as uncommon but severe; actual prevalence is common and gradient", "kind": "intuition" }, "native": { "display": "~16 in 100 per year (high school students)", "numerator": 16, "denominator": 100, "unit": "per year (high school students)", "population": "US high school students (grades 9-12), CDC YRBS 2023" }, "normalized": { "lifetime_us_adult": 0.5, "display": "~1 in 2 over a 4-year high school career", "log_value": -0.3, "assumptions": "The CDC YRBS 2023 reports 16% of US high school students were electronically bullied in the preceding 12 months (N ≈ 20,100). Treating each school year as an independent trial over a 4-year high school career: 1 - (1 - 0.16)^4 ≈ 0.50. This is conservative in two ways: it uses the CDC's narrow \"electronically bullied\" wording rather than broader definitions that capture more behaviors (Pew 2022 found 46% of teens reporting any form of online harassment ever), and it treats years as independent when in reality victimization in one year predicts victimization the next. Over the full adolescent window (ages 13-18, 6 years): 1 - (1 - 0.16)^6 ≈ 0.65. The central estimate uses the 4-year high school career to match the YRBS sampling frame.\n", "uncertainty": { "low": 0.35, "high": 0.65 }, "scope": "subgroup_lifetime" }, "sources": [ { "url": "https://www.cdc.gov/mmwr/volumes/73/su/su7304a3.htm", "title": "Frequent Social Media Use and Experiences with Bullying Victimization, Persistent Feelings of Sadness or Hopelessness, and Suicide Risk Among High School Students — Youth Risk Behavior Survey, United States, 2023", "publisher": "CDC MMWR Supplements, Vol. 73, No. 4 (2024)", "source_type": "govt_report", "statistic": "In 2023, 16.0% of US high school students reported being electronically bullied during the 12 months before the survey; 20.8% of female students vs 11.8% of male students; 25% of LGBTQ+ students", "excerpt": "\"In 2023, 16% of high school students were electronically bullied.\"\n", "source_date": "2024-10-24", "source_accessed": "2026-04-19", "archive_url": "https://web.archive.org/web/20260420034254/https://www.cdc.gov/mmwr/volumes/73/su/su7304a3.htm", "calculation_notes": "The YRBS is a nationally representative, school-based survey conducted biennially by the CDC since 1991. The 2023 cycle surveyed approximately 20,100 students in grades 9-12. The electronic bullying question asks whether the student was \"electronically bullied\" (counting being bullied through texting, Instagram, Facebook, or other social media) during the 12 months before the survey. The 16% figure is the weighted national prevalence. This is the primary anchor for the native probability. Annual rate of 0.16 compounded over 4 years of high school: 1 - (1 - 0.16)^4 ≈ 0.50. The gender split (female 20.8%, male 11.8%) and LGBTQ+ rate (25%) are used for the regional breakdown and personal factor multipliers.\n" }, { "url": "https://www.pewresearch.org/internet/2022/12/15/teens-and-cyberbullying-2022/", "title": "Teens and Cyberbullying 2022", "publisher": "Pew Research Center", "source_type": "reputable_reference", "statistic": "46% of US teens ages 13-17 reported experiencing at least one of six types of cyberbullying behavior; 28% experienced multiple types; girls (49%) more than boys (43%); older girls 15-17 at 54%", "excerpt": "\"Roughly half of U.S. teens (46%) report ever experiencing at least one of six types of cyberbullying behaviors asked about in a Center survey.\"\n", "source_date": "2022-12-15", "source_accessed": "2026-04-19", "archive_url": "https://web.archive.org/web/20260420034327/https://www.pewresearch.org/internet/2022/12/15/teens-and-cyberbullying-2022/", "calculation_notes": "Pew's 2022 survey used a broader definition than the YRBS single-item question, asking about six specific behaviors: offensive name-calling (32%), spreading of false rumors (22%), receiving explicit images they did not ask for (17%), constant asking of where they are or what they are doing by someone other than a parent (15%), physical threats (10%), and having explicit images of them shared without consent (7%). The \"any of six\" figure of 46% is a lifetime prevalence for ages 13-17, not a past-year rate, which explains why it is much higher than the YRBS's 16% past-year figure. The two numbers are not contradictory — they measure different time windows and different behavioral thresholds. The Pew figure informs the upper end of the uncertainty band.\n", "independence_note": "Independently collected via Pew's American Trends Panel (online probability panel of US adults + teen supplement). Entirely different sampling frame, methodology, and behavioral definitions from the CDC YRBS school-based survey.\n" }, { "url": "https://pubmed.ncbi.nlm.nih.gov/25168105/", "title": "Bullying Prevalence Across Contexts: A Meta-analysis Measuring Cyber and Traditional Bullying", "publisher": "Journal of Adolescent Health (Modecki, Minchin, Harbaugh, Guerra, Runions 2014)", "source_type": "peer_reviewed", "statistic": "Meta-analysis of 80 studies found mean cyberbullying prevalence of 15% among adolescents, compared to 36% for traditional (in-person) bullying", "excerpt": "\"Mean prevalence rates across contexts were 36% for traditional bullying and 15% for cyberbullying.\"\n", "source_date": "2014-11-01", "source_accessed": "2026-04-19", "archive_url": "https://web.archive.org/web/20260420034400/https://pubmed.ncbi.nlm.nih.gov/25168105/", "calculation_notes": "Modecki et al. 2014 is the most-cited meta-analysis on comparative bullying prevalence. The 15% mean cyberbullying prevalence across 80 studies aligns closely with the CDC YRBS 2023 figure of 16%, providing cross-validation that the annual prevalence has been remarkably stable at roughly 15-16% for over a decade despite large changes in platform use patterns. The meta-analysis included studies with heterogeneous definitions, timeframes, and populations, but the central tendency converges on this range. The finding that traditional bullying (36%) is roughly 2.4x more prevalent than cyberbullying is used for the comparison anchor.\n", "independence_note": "Meta-analysis synthesising 80 independent studies from multiple countries. Does not include the 2023 YRBS data (predates it by nearly a decade).\n" }, { "url": "https://www.jmir.org/2018/4/e129/", "title": "Self-Harm, Suicidal Behaviours, and Cyberbullying in Children and Young People: Systematic Review", "publisher": "Journal of Medical Internet Research (John et al. 2018)", "source_type": "peer_reviewed", "statistic": "Cyberbullying victims were 2.35x as likely to self-harm (OR 2.35, 95% CI 1.65-3.34), 2.10x as likely to exhibit suicidal behaviors (OR 2.10, 95% CI 1.73-2.55), and 2.57x as likely to attempt suicide (OR 2.57, 95% CI 1.69-3.90) compared to non-victims", "excerpt": "\"Children and young people who are victims of cyberbullying are at a greater risk of both self-harm and suicidal behaviors.\"\n", "source_date": "2018-04-19", "source_accessed": "2026-04-19", "archive_url": "https://web.archive.org/web/20260420034435/https://www.jmir.org/2018/4/e129/", "calculation_notes": "This systematic review is included to document the mental health consequences of cyberbullying, not to derive the prevalence figure. The odds ratios (self-harm OR 2.35, suicidal behavior OR 2.10, suicide attempt OR 2.57) establish that cyberbullying victimization is a clinically meaningful risk factor for serious downstream harm, which supports the outcome_severity classification of moderate_harm (the cyberbullying itself is moderate; the tail-risk sequelae are serious). These ORs do not enter the native-to-normalized calculation.\n" } ], "comparison_anchors": [ { "label": "In-person school bullying (past year, US HS students)", "lifetime_us_adult": 0.57 }, { "label": "Teen suicide attempt (past year, US HS students)", "lifetime_us_adult": 0.095 } ], "regional_breakdown": [ { "region": "All US high school students (grades 9-12)", "probability": 0.5, "notes": "baseline: 16% annual rate compounded over 4 years" }, { "region": "Girls (grades 9-12)", "probability": 0.61, "notes": "20.8% annual rate (YRBS 2023); 1 - (1 - 0.208)^4 ≈ 0.61" }, { "region": "Boys (grades 9-12)", "probability": 0.4, "notes": "11.8% annual rate (YRBS 2023); 1 - (1 - 0.118)^4 ≈ 0.40" }, { "region": "LGBTQ+ teens", "probability": 0.68, "notes": "25% annual rate (YRBS 2023); 1 - (1 - 0.25)^4 ≈ 0.68" } ], "personal_factor_multipliers": [ { "factor": "Female teen", "multiplier": 1.3, "notes": "20.8% vs 16% base rate (YRBS 2023)" }, { "factor": "LGBTQ+ identity", "multiplier": 1.56, "notes": "25% vs 16% base rate (YRBS 2023)" }, { "factor": "Heavy social media user (>3 hrs/day)", "multiplier": 1.5, "notes": "CDC MMWR 2024 Supplement found frequent social media users (4+ hrs/day) had significantly higher electronic bullying victimization rates; estimate based on dose-response gradient in YRBS data" }, { "factor": "Prior mental health diagnosis (depression or anxiety)", "multiplier": 2, "notes": "Hamm et al. 2015 (JAMA Pediatrics): teens with pre-existing mental health conditions are approximately twice as likely to experience cyberbullying victimization and to suffer more severe impacts when victimized; the bidirectional relationship (bullying worsens mental health; poor mental health increases vulnerability) is documented across multiple prospective studies" }, { "factor": "Anonymous platform as primary social channel", "multiplier": 1.8, "notes": "Patchin & Hinduja research (Cyberbullying Research Center): platforms that permit or default to anonymity produce more severe bullying behavior due to reduced accountability; teens whose primary social platforms allow anonymous contact face materially higher victimization rates than those primarily using identity-tied platforms" } ], "short_label": "Teen cyberbullying", "myth_framing": "underrated", "outcome_severity": "moderate_harm", "exposure_pattern": "recurring", "outcome_type": "mental_trauma", "valence": "negative", "caveats": "The headline number depends entirely on what counts as \"cyberbullying.\" The CDC YRBS uses a single item asking whether the student was \"electronically bullied\" in the past 12 months, which relies on the respondent's own threshold for that term. Pew's six-behavior checklist captures a wider range of experiences and produces a lifetime prevalence nearly 3x higher (46% vs 16%). The Cyberbullying Research Center, using a 30-day recall window, found 26.5% in 2023. These are not contradictory numbers — they are different instruments measuring different slices of a continuous distribution of online negative experiences, from a single mean comment to sustained harassment campaigns.\nThe compounding assumption (independent annual trials) is a simplification. Cyberbullying victimization is correlated year-to-year: students who are bullied in one year are more likely to be bullied the next. This means the true 4-year cumulative probability is likely somewhat lower than the independence-based 50% for the general population, but somewhat higher for those who are victimized early. The uncertainty band (35-65%) reflects this structural ambiguity plus the definitional range.\nThe comparison anchors use lifetime probability compounded the same way for consistency, but these are teen-specific subgroup probabilities, not standard US-adult-lifetime figures. They are not directly comparable to entries elsewhere on this site that use a 59-year adult horizon.\n", "quality_score": { "d1": 5, "d2": 5, "d3": 5, "d4": 5, "d5": 5, "d6": 5, "d7": 4, "d8": 5, "avg": 4.875, "scored_by": "claude-code-8d", "scored_at": "2026-05-25", "methodology_version": "1.2" }, "reviewer": "quality-review-agent", "last_reviewed": "2026-04-19", "reviewed": true, "generated_at": "2026-04-19", "image": { "alt": "A single phone screen showing unread notification badges, flat vector illustration in muted blue and grey tones, no people visible." }, "attribution": "Likelier — https://likelier.app", "license": "https://creativecommons.org/licenses/by-sa/4.0/", "support": "https://buymeacoffee.com/kgluszczyk?via=likelier&utm_content=api-fear-single", "canonical_url": "https://likelier.app/cyberbullying-teen" }