A systematic review and meta-analysis of interventions to decrease cyberbullying perpetration and victimization: An in-depth analysis within the Asia Pacific region
Open accessAbstract
Background: Cyberbullying perpetration and victimization are prevalent issues in adolescent development and are a rising public health concern. Numerous interventions have been developed and implemented to decrease cyberbullying perpetration and victimization. Through an updated systematic review and meta-analysis, this study aimed to tackle a significant gap in the cyberbullying literature by addressing the need to empirically determine the effectiveness of programs with non-school-aged samples with a specific focus on studies conducted within the Asia-Pacific region. Methods: A systematic literature review was conducted to identify intervention research to reduce cyberbullying perpetration and victimization published from January 1995 to February 2022. Ten electronic databases—Cambridge Journal Online, EBSCOHOST, ERIC, IEEE XPLORE, Oxford Journal Online, ProQuest Dissertations and Theses, PubMed (Medline), Science Direct, Scopus, Springerlink—and a subsequent manual search were conducted. Detailed information was extracted, including the summary data that could be used to estimate effect sizes. The studies’ methodological quality was assessed using the Effective Public Health Practice Project (EPHPP) quality assessment tool. Findings: Eleven studies were included in the review of the 2,540 studies identified through databases, and 114 additional records were discovered through citation searching. Only four studies were included in the meta-analysis, exploring game-based, skill-building, school-based, and whole-school interventions. The first meta-analysis pooled estimates from these four studies that assessed cyberbullying perpetration frequency using continuous data post-intervention. These studies reported data from 3,273 participants (intervention n = 1,802 and control n = 1,471). A small but not statistically significant improvement favoring the intervention group from pre- to post-intervention was shown by the pooled effect size, −0.04 (95% CI [−0.10,0.03], Z = 1.11, P = 0.27). The second meta-analysis included two qualified studies investigating cyberbullying victimization frequency using continuous data at post-intervention among 2,954 participants (intervention n = 1,623 and control n = 1,331). A very small but non-significant effect favoring the intervention group was discovered. Conclusion: This research primarily highlights that the endeavor for cyberbullying intervention is still developing in the Asia-Pacific region, currently involving a limited set of stakeholders, settings, and delivery modes. Overall, meta-analyses of cyberbullying interventions conducted in the Asia Pacific found no significant effects in reducing cyberbullying perpetration and victimization.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The effect of anti-cyberbullying interventions is consistent regardless of whether the programme is school-based or home-based.
“These findings were consistent, regardless of whether the programme was school based, targeting children and adolescents16,89,90,105 or home based, aimed at increasing parental awareness91.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [16]
The Findings (§3.4; page unavailable) identify school-based interventions in the review, and the Discussion (§4; page unavailable) reports a small, non-significant average reduction in cyberbullying perpetration and victimization. The paper does not report a home-based parental-awareness programme or establish that effects were consistent between school- and home-based programmes. (LLM, conf=0.84)
Experimental — accuracy not yet measuredAnti-cyberbullying programs can reduce cyberbullying perpetration by approximately 10-15% and cyberbullying victimization by approximately 14%.
“Recent studies have shown that anti-cyberbullying programs can reduce cyberbullying perpetration by approximately 10–15% and cyberbullying victimization by approximately 14% [103].”
From The Impact of Social Media & Technology on Child and Adolescent Mental Health (2025) · cites this paper as [103]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., et al. (2021) · BMJ · doi:10.1136/bmj.n71 · Cited by 108,283 · see citing works
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763 · see citing works
Rayyan-a web and mobile app for systematic reviews.
Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016) · Systematic Reviews · doi:10.1186/s13643-016-0384-4 · Cited by 26,092 · see citing works
Cochrane Handbook for Systematic Reviews of Interventions
(2019) · doi:10.1002/9781119536604 · Cited by 14,828 · see citing works
A basic introduction to fixed-effect and random-effects models for meta-analysis
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.12 · Cited by 6,793 · see citing works
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102542 · Cited by 2,753 · see citing works
Robust variance estimation in meta‐regression with dependent effect size estimates
Hedges, L. V., Tipton, E., & Johnson, M. C. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.5 · Cited by 2,086 · see citing works
School bullying among adolescents in the United States: Physical, verbal, relational, and cyber
Wang, J., Iannotti, R. J., & Nansel, T. R. (2009) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2009.03.021 · Cited by 2,045 · see citing works
Electronic Bullying Among Middle School Students
Kowalski, R. M., & Limber, S. P. (2007) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2007.08.017 · Cited by 1,580 · see citing works
Online aggressor/targets, aggressors, and targets: a comparison of associated youth characteristics
Ybarra, M. L., & Mitchell, K. J. (2004) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2004.00328.x · Cited by 1,313 · see citing works
Bullying Prevalence Across Contexts: A Meta-analysis Measuring Cyber and Traditional Bullying
Modecki, K. L., Minchin, J., Harbaugh, A. G., Guerra, N. G., & Runions, K. C. (2014) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2014.06.007 · Cited by 1,216 · see citing works
Zhu, C., Huang, S., Evans, R., & Zhang, W. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.634909 · Cited by 728 · see citing works
Meta‐Analysis in Medical Research
Haidich, A. (2005) · Wiley eBooks · doi:10.1002/9780470994894 · Cited by 691 · see citing works
Gaffney, H., Ttofi, M. M., & Farrington, D. P. (2018) · Aggression and Violent Behavior · doi:10.1016/j.avb.2018.07.001 · Cited by 558 · see citing works
Cyberbullying, self-esteem, empathy and loneliness
Brewer, G., & Kerslake, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.01.073 · Cited by 459 · see citing works
An analysis of multiple factors of cyberbullying among junior high school students in Taiwan
Huang, Y.-Y., & Chou, C. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.06.005 · Cited by 441 · see citing works
Zych, I., Ortega-Ruiz, R., & Del Rey, R. (2015) · Aggression and Violent Behavior · doi:10.1016/j.avb.2015.10.001 · Cited by 439 · see citing works
Gaffney, H., Farrington, D. P., Espelage, D. L., & Ttofi, M. M. (2019) · Aggression and Violent Behavior · doi:10.1016/j.avb.2018.07.002 · Cited by 363 · see citing works
A scoping review on studies of cyberbullying prevalence among adolescents
Brochado, S., Soares, S., & Fraga, S. (2017) · Trauma, Violence, & Abuse · doi:10.1177/1524838016641668 · Cited by 307 · see citing works
A META-ANALYSIS OF THE PREDICTORS OF CYBERBULLYING PERPETRATION AND VICTIMIZATION
Guo, S. (2016) · Psychology in the Schools · doi:10.1002/pits.21914 · Cited by 299 · see citing works
Prevalence of cyberbullying and predictors of cyberbullying perpetration among Korean adolescents
Lee, C., & Shin, N. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.11.047 · Cited by 267 · see citing works
Meta-Analytic Methodology for Basic Research: A Practical Guide
Mikolajewicz, N., & Komarova, S. V. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00203 · Cited by 237 · see citing works
Estimating the Difference Between Published and Unpublished Effect Sizes: A Meta-Review
Polanin, J. R., Tanner-Smith, E. E., & Hennessy, E. A. (2016) · Review of Educational Research · doi:10.3102/0034654315582067 · Cited by 234 · see citing works
Cyberbullying Perpetration and Victimization in Youth: A Meta-Analysis of Longitudinal Studies
Marciano, L., Schulz, P. J., & Camerini, A.-L. (2020) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmz031 · Cited by 226 · see citing works
Longitudinal impact of the Cyber Friendly Schools program on adolescents’ cyberbullying behavior
CROSS, D. S., Shaw, T., Hadwen, K., Cardoso, P., Slee, P. T., Roberts, C. M., Thomas, L. T., & Barnes, A. (2015) · Aggressive Behavior · doi:10.1002/ab.21609 · Cited by 207 · see citing works
Polanin, J. R., Espelage, D. L., Grotpeter, J. K., Ingram, K., Michaelson, L., Spinney, E., Valido, A., Sheikh, A. E., Torgal, C., & Robinson, L. (2022) · Prevention Science · doi:10.1007/s11121-021-01259-y · Cited by 171 · see citing works
Pearce, N., CROSS, D. S., Monks, H., Waters, S. K., & Falconer, S. (2011) · Australian Journal of Guidance and Counselling · doi:10.1375/ajgc.21.1.1 · Cited by 166 · see citing works
Tapingkae, P., Panjaburee, P., Hwang, G., & Srisawasdi, N. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.103998 · Cited by 155 · see citing works
Interventions to prevent and reduce cyber abuse of youth: a systematic review
Mishna, F., Cook, C., Saini, M., Wu, M.-J., & MacFadden, R. (2011) · Research on Social Work Practice · doi:10.1177/1049731509351988 · Cited by 154 · see citing works
Gardella, J. H., Fisher, B. W., & Teurbe-Tolon, A. R. (2017) · Review of Educational Research · doi:10.3102/0034654316689136 · Cited by 139 · see citing works
Cross-Cultural Differences in Cyberbullying Behavior
Barlett, C. P., Gentile, D. A., Anderson, C. A., Suzuki, K., Sakamoto, A., Yamaoka, A., & Katsura, R. (2013) · Journal of Cross-Cultural Psychology · doi:10.1177/0022022113504622 · Cited by 137 · see citing works
Morgan, P. L., Farkas, G., Hillemeier, M., & Maczuga, S. (2012) · Educational Research · doi:10.3102/0013189x12459678 · Cited by 134 · see citing works
Screen time as an index of family distress
Hartshorne, J. K., Huang, Y. T., Paredes, P. M. L., Oppenheimer, K. E., Robbins, P. T., & Velasco, M. D. (2021) · Current Research in Behavioral Sciences · doi:10.1016/j.crbeha.2021.100023 · Cited by 107 · see citing works
School Bullying in Different Cultures
(2016) · Cambridge University Press eBooks · doi:10.1017/cbo9781139410878 · Cited by 104 · see citing works
Olenik‐Shemesh, D., & Heiman, T. (2016) · The Journal of Genetic Psychology · doi:10.1080/00221325.2016.1195331 · Cited by 102 · see citing works
Empowering Students Against Bullying and Cyberbullying: Evaluation of an Italian Peer-led Model
Menesini, E., Nocentini, A., & Palladino, B. E. (2012) · doi:10.4119/ijcv-2922 · Cited by 100 · see citing works
Impact of the ConRed program on different cyberbulling roles
Rey, R. D., Casas, J. A., & Ruiz, R. O. (2015) · Aggressive Behavior · doi:10.1002/ab.21608 · Cited by 99 · see citing works
Antibullying Programs in Schools: How Effective are Evaluation Practices?
Ryan, W., & Smith, J. D. (2009) · Prevention Science · doi:10.1007/s11121-009-0128-y · Cited by 98 · see citing works
Has the COVID-19 pandemic affected the susceptibility to cyberbullying in India?
Jain, O., Gupta, M., Satam, S., & Panda, S. P. (2020) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2020.100029 · Cited by 95 · see citing works
Rao, J., Wang, H., Pang, M., Yang, J., Zhang, J., Ye, Y., Chen, X., Wang, S., & Dong, X. (2017) · Injury Prevention · doi:10.1136/injuryprev-2016-042210 · Cited by 94 · see citing works
Park, M. S., Golden, K. J., Vizcaino-Vickers, S., Jidong, D. E., & Raj, S. (2021) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2021-1-5 · Cited by 88 · see citing works
Can emotion regulation serve as a tool in combating cyberbullying?
den Hamer, A. H., & Konijn, E. A. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.06.033 · Cited by 72 · see citing works
Children's Experiences of Cyberbullying: A Canadian National Study
Beran, T., Mishna, F., McInroy, L. B., & Shariff, S. (2015) · Children & Schools · doi:10.1093/cs/cdv024 · Cited by 71 · see citing works
Cybervictimization and Cyberbullying: The Role of Socio-Emotional Skills
Arató, N., Zsido, A. N., Lénárd, K., & Lábadi, B. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00248 · Cited by 71 · see citing works
Cyber Bullying Prevention: Intervention in Taiwan
Lee, M.-S., Zi-Pei, W., Svanström, L., & Dalal, K. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064031 · Cited by 53 · see citing works
Hu, Q., Bernardo, A. B. I., Lam, S. W., & Cheang, P. K. (2016) · Current Psychology · doi:10.1007/s12144-016-9490-7 · Cited by 52 · see citing works
Marret, M. J., & Choo, W. Y. (2017) · BMJ Open · doi:10.1136/bmjopen-2016-014959 · Cited by 50 · see citing works
Fekkes, M., van de Sande, M. C., Gravesteijn, J. C., Pannebakker, F. D., Buijs, G. J., Diekstra, R. F. W., & Kocken, P. (2015) · Health Education · doi:10.1108/he-05-2014-0068 · Cited by 47 · see citing works
Cyber Victimization Is Associated With Eating Disorder Psychopathology in Adolescents
Marco, J. H., & Irún, M. P. T. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00987 · Cited by 46 · see citing works
What Is the Difference Between a Systematic Review and a Meta-analysis?
Akhter, S., Pauyo, T., & Khan, M. (2019) · Springer eBooks · doi:10.1007/978-3-662-58254-1_37 · Cited by 41 · see citing works
Increased Screen Time for Children and Youth During the COVID-19 Pandemic
Toombs, E., Mushquash, C. J., Mah, L., Short, K., Young, N. L., Cheng, C., Zhu, L., Strudwick, G., Birken, C. S., Hopkins, J. P., et al. (2022) · doi:10.47326/ocsat.2022.03.59.1.0 · Cited by 41 · see citing works
Testing the Effectiveness of an E-Course to Combat Cyberbullying
Leung, A. N. M., Wong, N., & Farver, J. M. (2019) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2018.0609 · Cited by 29 · see citing works
Peng, Z., Li, L., Su, X., & Lu, Y. (2022) · BMC Public Health · doi:10.1186/s12889-022-12669-0 · Cited by 28 · see citing works
Han, Y., Donnelly, H. K., Ma, J., Song, J., & Hong, H. (2019) · Journal of Community Psychology · doi:10.1002/jcop.22226 · Cited by 26 · see citing works
Higgins, S. (2018) · Cambridge University Press eBooks · doi:10.1017/9781139519618 · Cited by 25 · see citing works
Effectiveness of Solution-Focused Brief Counseling to Reduce Online Aggression of Student
Wiretna, C. D., Saputra, W. N. E., Muarifah, A., & Barida, M. (2020) · Universal Journal of Educational Research · doi:10.13189/ujer.2020.080344 · Cited by 22 · see citing works
Liau, A. K., Park, Y., Gentile, D. A., Katna, D. P., Tan, C. H. A., & Khoo, A. (2015) · Psychology of Popular Media Culture · doi:10.1037/ppm0000094 · Cited by 21 · see citing works
Tanrıverdi, B., & Apak, Ö. (2010) · Educational Sciences Theory & Practice · Cited by 18 · see citing works
Polanin, J. R., Espelage, D. L., Grotpeter, J. K., Valido, A., Ingram, K. M., Torgal, C., Sheikh, A. J. E., & Robinson, L. E. (2020) · Systematic Reviews · doi:10.1186/s13643-020-01376-9 · Cited by 11 · see citing works
Polanin, J. R. (2020) · American Educational Research Association Annual Meeting (AERA) · doi:10.3102/1574474 · Cited by 5 · see citing works
Risk factors associated with cyberbullying victimization and perpetration among Taiwanese children
Lin, M. (2016) · Digital Commons-TMC (Texas Medical Center) · Cited by 3 · see citing works
Flagged first, then by citations
1 of the 62 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [43]McMaster Evidence Review & Synthesis Team. Effective Public Health Practice Project. (2010). Available online at: https://merst.healthsci.mcmaster.ca/ephpp/ (accessed August 31, 2022).
Cited by
Sorted by citations
Kasturiratna, K. T. A. S., Hartanto, A., Chen, C. H. Y., Tong, E. M. W., & Majeed, N. M. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-02011-6 · Cited by 119 · see citing works
The Impact of Social Media & Technology on Child and Adolescent Mental Health
Masri-zada, T., Martirosyan, S., Abdou, A., Barbar, R., Kades, S., Makki, H., Haley, G., & K Agrawal, D. (2025) · Journal of Psychiatry and Psychiatric Disorders · doi:10.26502/jppd.2572-519x0242 · Cited by 45 · see citing works
Cai, H., Chen, P., Zhang, Q., Lam, M. I., Si, T. L., Liu, Y., Zheng, W.-Y., Su, Z., Cheung, T. C. C., Jackson, T., et al. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.05.115 · Cited by 19 · see citing works
Sindiramutty, S. R., Jhanjhi, N. Z., Ray, S. K., Jazri, H., Khan, N. A., Gaur, L., Gharib, A. H., & Manchuri, A. R. (2023) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-6684-9823-1.ch002 · Cited by 11 · see citing works
Liu, C., You, L., Li, J., Zhang, M., Li, H., Qian, B., Xie, J., & Li, J. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119654 · Cited by 5 · see citing works
Shi, Y., Lau, Y., Chan, H. H. H., Choi, J. K. K., Calvo-Morata, A., & Wong, S. H. (2025) · Trauma Violence & Abuse · doi:10.1177/15248380251375480 · Cited by 3 · see citing works
Felk, J., Liesegang, J., Schmidt, F., Donat, M., & Wolgast, A. (2025) · Child Psychiatry & Human Development · doi:10.1007/s10578-025-01910-7 · Cited by 2 · see citing works
Li, Z.-W., Lu, L., Qin, X.-D., Li, R., Zhou, Z., Liu, S., Liu, Q., Lai, S., & Shen, Q. (2026) · BMC Medicine · doi:10.1186/s12916-026-04974-x · Cited by 2 · see citing works
Dadras, O. (2025) · Journal of Child & Adolescent Trauma · doi:10.1007/s40653-025-00718-w · Cited by 2 · see citing works
Domínguez, J. P. S., & Raymundo, L. M. (2025) · Trans-pasando Fronteras · doi:10.18046/retf.i21.6184 · Cited by 1 · see citing works
Interventions on Cyberbullying
Vasiou, A., & Veloni, M. (2025) · Advances in social networking and online communities book series · doi:10.4018/979-8-3693-4191-9.ch013 · Cited by 1 · see citing works
Pengaruh Iklim Sekolah dan Pemantauan Orang Tua terhadap Perilaku Perundungan Pelajar
Prasettyo, S. H., & Purwoto, L. (2025) · Jurnal Pendidikan dan Kebudayaan · doi:10.24832/jpnk.v10i1.4215 · Cited by 1 · see citing works
Yusuf, S., Teimouri, M., Ibrahim, M. S., Ibrahim, N. Z. M., Nazri, S. M., & Victor, S. A. (2023) · Intellectual Discourse · doi:10.31436/id.v31i1.1864 · Cited by 1 · see citing works
Pal, M. N., & Radhika, H. (2026) · Global Education Insights · doi:10.65140/gei202603.21
Chawla, R. (2026) · Frontiers in Education · doi:10.3389/feduc.2026.1827335 · Cited by 1 · see citing works
A Jedi Approach to Learning: Integrating STEAM, Social‐Emotional Development, and Creativity
Ribis, E. V., & García, J. H. (2026) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/6683139
- Authors
- Kamaruddin, I. K., Ma’rof, A. M., Mohd Nazan, A. I. N., & Ab Jalil, H.
- Affiliations
- Universiti Putra Malaysia (MY)
- Corresponding author
- Ma’rof, Aini Marina
- ORCID
- Ma’rof, Aini Marina
- Venue
- Frontiers in Psychiatry
- Publisher
- Frontiers Media SA
- Published
- 2023-01-27
- Volume
- 14
- Pages
- 1014258-1014258
- ISSN
- 1664-0640 (ISSN-L)
- PMC
- PMC9911532
- OpenAlex
- W4318191366
- Cited by
- 15
- References
- 62
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 2 · 2023: 2
- FWCI
- 0.73
- Type
- journal article
- Language
- en
- Update notices
- corrigendum (2023-07-20)
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychiatry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Suruhanjaya Komunikasi dan Multimedia Malaysia
- Universiti Putra Malaysia
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Keywords
- cyberbullying, cyberbullying perpetration, cyber victimization, cyberbullying intervention, intervention effectiveness, game-based intervention, school-based intervention, school-wide intervention, adolescents, Asia-Pacific region, effect size, digital literacy programs, social skills training
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
