Wonders

Key research papers on cyberbullying

Definitions and prevalence, the overlap with school bullying, mental health and suicide risk, prevention programmes and automatic detection.

Data from OpenAlex, retrieved September 21, 2026

In short

The oldest highly cited cyberbullying studies date from 2006. Smith et al. (2008) described its nature and impact among secondary school pupils, Tokunaga (2010) synthesised the first wave of victimisation studies, and Kowalski et al. (2014) produced the field's main meta-analysis. Hinduja and Patchin (2010) linked it with suicidal ideation. A second, separate literature in computer science builds classifiers that detect abusive messages. Check which one a paper belongs to before you cite it.

How the literature is organised

The earliest studies on this page are school surveys. Li (2006) surveyed 264 junior high school students, Li (2007) followed with "New bottle but old wine", Slonje and Smith (2008) asked whether cyberbullying was simply another type of bullying, and Smith et al. (2008) described its nature and impact in English secondary schools. Hinduja and Patchin (2008) analysed factors related to offending and victimisation among US adolescents.

Synthesis came quickly. Tokunaga (2010) critically reviewed and synthesised research on victimisation. Kowalski et al. (2014) meta-analysed the research and proposed the general aggression model as a framework for understanding it. Outcome studies link cyberbullying with distress (Schneider et al., 2012), with poorer psychological, physical and academic functioning (Kowalski and Limber, 2013) and with suicidal thoughts (Hinduja and Patchin, 2010).

Main debates

Is cyberbullying a distinct phenomenon? The question is in the titles of two early papers: Slonje and Smith (2008), "Another main type of bullying?", and Li (2007), "New bottle but old wine". Overlap with school bullying is large (Schneider et al., 2012). Measurement is the second issue: prevalence estimates in the 63 studies reviewed by Zhu et al. (2021) span tens of percentage points. Several of the outcome studies listed here, such as Schneider et al. (2012), are one-off surveys, so check the design before writing that cyberbullying causes an outcome.

Where recent work is heading

Recent psychological research covers the pandemic period (Barlett et al., 2021, comparing US adults before and during it), prevalence and mental health in new populations, including India (Maurya et al., 2022) and Saudi Arabia (Gohal et al., 2023), and family and emotion-regulation factors (Arató et al., 2022). Polanin et al. (2022) meta-analysed interventions and report that programmes significantly reduced cyberbullying perpetration (g = -0.18) and victimisation (g = -0.13), which are small effects. Three of the eight most-cited recent papers, however, come from computer science: detection with deep learning (Murshed et al., 2022), with social media features (Bozyiğit, Utku and Nasibov, 2021) and with hybrid language models (Raj et al., 2021). These papers evaluate classifiers, not young people, and should not be cited as evidence about prevalence or harm.

Most-cited foundational papers

Published before 2021 and ranked by how often later work cites them. Read the abstract of each and the full text of the three or four closest to your question. Citation count measures attention, not quality, so treat this as a map of what the field has argued about rather than a ranking of what is true.

  1. 1
    Cyberbullying: its nature and impact in secondary school pupils

    Peter K. Smith and 5 others (2008). Journal of Child Psychology and Psychiatry.

    Cited by 3,631Open accessdoi:10.1111/j.1469-7610.2007.01846.x

  2. 2
    Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth

    Robin M. Kowalski and 3 others (2014). Psychological Bulletin.

    Cited by 3,238doi:10.1037/a0035618

  3. 3
    Following you home from school: A critical review and synthesis of research on cyberbullying victimization

    Robert S. Tokunaga (2010). Computers in Human Behavior.

    Cited by 2,500doi:10.1016/j.chb.2009.11.014

  4. 4
    Bullying, Cyberbullying, and Suicide

    Sameer Hinduja, Justin W. Patchin (2010). Archives of Suicide Research.

    Cited by 2,067doi:10.1080/13811118.2010.494133

  5. 5
    Cyberbullying: Another main type of bullying?

    Robert Slonje, Peter K. Smith (2008). Scandinavian Journal of Psychology.

    Cited by 1,850doi:10.1111/j.1467-9450.2007.00611.x

  6. 6
    Cyberbullying: An Exploratory Analysis of Factors Related to Offending and Victimization

    Sameer Hinduja, Justin W. Patchin (2008). Deviant Behavior.

    Cited by 1,502doi:10.1080/01639620701457816

  7. 7
    Psychological, Physical, and Academic Correlates of Cyberbullying and Traditional Bullying

    Robin M. Kowalski, Susan P. Limber (2013). Journal of Adolescent Health.

    Cited by 1,297Open accessdoi:10.1016/j.jadohealth.2012.09.018

  8. 8
    New bottle but old wine: A research of cyberbullying in schools

    Qing Li (2007). Computers in Human Behavior.

    Cited by 975doi:10.1016/j.chb.2005.10.005

  9. 9
    Cyberbullying, School Bullying, and Psychological Distress: A Regional Census of High School Students

    Shari Kessel Schneider and 3 others (2012). American Journal of Public Health.

    Cited by 968Open accessdoi:10.2105/ajph.2011.300308

  10. 10
    Cyberbullying in Schools: A Research of Gender Differences

    Qing Li (2006). School Psychology International.

    Cited by 953doi:10.1177/0143034306064547

Most-cited papers since 2021

Primary studies and conceptual papers from 2021 onwards. A paper published in 2024 has had a few years to accumulate citations where the works in the section above have had decades, so compare these counts with each other rather than with the ones above.

  1. 1
    Traditional school bullying and cyberbullying: Prevalence, the effect on mental health problems and self-harm behavior

    Murat Eyuboglu and 6 others (2021). Psychiatry Research.

    Cited by 260doi:10.1016/j.psychres.2021.113730

  2. 2
    The effects of cyberbullying victimization on depression and suicidal ideation among adolescents and young adults: a three year cohort study from India

    Chanda Maurya and 3 others (2022). BMC Psychiatry.

    Cited by 154Open accessdoi:10.1186/s12888-022-04238-x

  3. 3
    Comparing cyberbullying prevalence and process before and during the COVID-19 pandemic

    Christopher P. Barlett and 3 others (2021). The Journal of Social Psychology.

    Cited by 138doi:10.1080/00224545.2021.1918619

  4. 4
    DEA-RNN: A Hybrid Deep Learning Approach for Cyberbullying Detection in Twitter Social Media Platform

    Belal Abdullah Hezam Murshed and 4 others (2022). IEEE Access.

    Cited by 134Open accessdoi:10.1109/access.2022.3153675

  5. 5
    Cyberbullying detection: Utilizing social media features

    Alican Bozyiğit, Semih Utku, Efendi Nasibov (2021). Expert Systems with Applications.

    Cited by 130doi:10.1016/j.eswa.2021.115001

  6. 6
    Cyberbullying Detection: Hybrid Models Based on Machine Learning and Natural Language Processing Techniques

    Chahat Raj and 4 others (2021). Electronics.

    Cited by 124Open accessdoi:10.3390/electronics10222810

  7. 7
    Risk and Protective Factors in Cyberbullying: the Role of Family, Social Support and Emotion Regulation

    N. Arató and 4 others (2022). International Journal of Bullying Prevention.

    Cited by 122Open accessdoi:10.1007/s42380-021-00097-4

  8. 8
    Prevalence and related risks of cyberbullying and its effects on adolescent

    Gassem Gohal and 8 others (2023). BMC Psychiatry.

    Cited by 108Open accessdoi:10.1186/s12888-023-04542-0

Recent reviews and meta-analyses

The fastest way into a literature. A good review gives you the structure of the field, a reference list to mine and, in its limitations section, the gaps other researchers have already spotted.

  1. 1
    Cyberbullying Among Adolescents and Children: A Comprehensive Review of the Global Situation, Risk Factors, and Preventive Measures

    Chengyan Zhu and 3 others (2021). Frontiers in Public Health.

    Cited by 625Open accessdoi:10.3389/fpubh.2021.634909

  2. 2
    Cyberbullying via social media and well-being

    Gary W. Giumetti, Robin M. Kowalski (2022). Current Opinion in Psychology.

    Cited by 270doi:10.1016/j.copsyc.2022.101314

  3. 3
    Traditional bullying and cyberbullying in the digital age and its associated mental health problems in children and adolescents: a meta-analysis

    Chao Li and 4 others (2024). European Child & Adolescent Psychiatry.

    Cited by 226Open accessdoi:10.1007/s00787-022-02128-x

  4. 4
    A Systematic Review and Meta-analysis of Interventions to Decrease Cyberbullying Perpetration and Victimization

    Joshua R. Polanin and 9 others (2022). Prevention Science.

    Cited by 164Open accessdoi:10.1007/s11121-021-01259-y

  5. 5
    Cyberbullying detection for low-resource languages and dialects: Review of the state of the art

    Tanjim Mahmud and 3 others (2023). Information Processing & Management.

    Cited by 156Open accessdoi:10.1016/j.ipm.2023.103454

  6. 6
    Cyberbullying in elementary and middle school students: A systematic review

    Carlos Evangelio and 3 others (2022). Computers & Education.

    Cited by 153Open accessdoi:10.1016/j.compedu.2021.104356

How big the literature is, and where it is published

OpenAlex indexes 14,988 works whose title matches this topic. The chart shows how many were published each year from 2000 to 2025; the current year is left out because it is incomplete.

2000: 3 works320002004: 3 works2005: 9 works2006: 24 works2007: 46 works2008: 71 works2009: 160 works2010: 214 works2011: 236 works2012: 450 works2013: 475 works2014: 551 works2015: 626 works2016: 657 works2017: 642 works2018: 821 works2019: 900 works2020: 916 works2021: 920 works2022: 1,067 works2023: 1,235 works2024: 1,487 works2025: 1,815 works1,8152025
Show the numbers as a table
YearWorks
20003
20043
20059
200624
200746
200871
2009160
2010214
2011236
2012450
2013475
2014551
2015626
2016657
2017642
2018821
2019900
2020916
2021920
20221,067
20231,235
20241,487
20251,815

Journals behind the most-cited work

Counted across the 359 most-cited works on the topic, not across everything published. Browsing recent issues of the first two or three is a reliable way to find current work that has not yet been cited much.

Sub-topics to narrow into

A thesis-sized question usually sits inside one of these, combined with a population or a setting.

How to cite these papers

Every paper above has a DOI, a part of the reference that is easy to leave out. Here is one of them, “Following you home from school: A critical review and synthesis of research on cyberbullying victimization” (2010), in the two styles students ask about most:

APA 7th edition

Tokunaga, R. S. (2010). Following you home from school: A critical review and synthesis of research on cyberbullying victimization. Computers in Human Behavior, 26(3), 277–287. https://doi.org/10.1016/j.chb.2009.11.014

MLA 9th edition

Tokunaga, Robert S. “Following You Home from School: A Critical Review and Synthesis of Research on Cyberbullying Victimization.” Computers in Human Behavior, vol. 26, no. 3, 2010, pp. 277–87, https://doi.org/10.1016/j.chb.2009.11.014.

Check the details against the article itself before you submit: databases, including the one behind this page, sometimes carry the online-first year rather than the volume year. Full rules and more examples are in our guides to APA, MLA, Chicago, Harvard, Vancouver and ABNT, with the rest in the citation guides. You can also format a reference from its DOI with our free citation tools.

Frequently asked questions

How is cyberbullying defined?

The abstract of Smith et al. (2008) describes it as bullying using mobile phones and the internet; the article itself gives a fuller definition, which is the one most papers quote, so take the wording from the article and cite the page. Slonje and Smith (2008) and Li (2007) ask how far it is a new phenomenon or the old one in a new setting.

Is cyberbullying worse than traditional bullying?

The two overlap, so the effects are hard to separate. In the census of more than 20,000 high school students by Schneider et al. (2012), 59.7% of cyberbullying victims were also victims of school bullying, and distress was highest among victims of both. Kowalski and Limber (2013) found the most negative psychological, physical and academic scores among young people who were both bullies and victims, particularly online. Pupils surveyed by Smith et al. (2008) perceived the impact of most forms of cyberbullying as comparable to that of traditional bullying.

How common is cyberbullying?

Estimates range widely because definitions, time frames and age groups differ. Zhu et al. (2021) reviewed 63 studies and reported victimisation rates from about 14 to 58 per cent and perpetration rates from 6 to 46 per cent. Always report the measure and recall period alongside a prevalence figure.

How this page was made

The lists come from OpenAlex, an open index of scholarly works whose data are published under a CC0 licence, queried on September 21, 2026 for works whose title matches (cyberbullying OR "cyber bullying" OR cybervictimization). Only works with a DOI are listed. Each one was checked against the publisher’s own record at Crossref or DataCite (title, year, first author, journal, volume and pages), and in three cases, where the publisher deposited no byline, against PubMed; anything OpenAlex or Crossref flags as retracted was left out, and an editor took out results that matched the words but not the subject. Citation counts are OpenAlex’s on that date and are usually lower than Google Scholar’s, which counts more kinds of document. Ranking by citations tells you what a field has relied on, not what is correct; several heavily cited papers on any topic are cited because later work disputes them. Books without a DOI are missing, which matters in fields where the founding text is a book.

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