According to a survey conducted in 2023in the United States, female school students were more likely than their male counterparts to have experienced cyberbullying. Overall, almost 60 percent of female respondents reported having been bullied via an online platform, compared to 49.5 percent of male respondents.

In the second quarter of 2025, Instagram took action on 3.3 million pieces of bullying and harassment related content, down from 5.2 million in the previous quarter. Overall, the first quarter of 2024 saw the highest ever number of bullying and harassment related pieces of content removed by the platform.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme files for a brief dscription of the files available with this collection and consult the investigator(s) if further information is needed. The qualitative data are not available as part of the data collection at this time. Numerous high-profile events involving student victimization on school buses have raised critical questions regarding the safety of school-based transportation for children, the efforts taken by school districts to protect students on buses, and the most effective transportation-based behavioral management strategies for reducing misconduct. To address these questions, a national web-based survey was administered to public school district-level transportation officials throughout the United States to assess the prevalence of misconduct on buses, identify strategies to address misconduct, and describe effective ways to reduce student misbehavior on buses. Telephone interviews were also conducted with a small group of transportation officials to understand the challenges of transportation-based behavioral management, to determine successful strategies to create safe and positive school bus environments, and to identify data-driven approaches for tracking and assessing disciplinary referrals. The collection includes 10 Stata data files: BVSBS_analysis file.dta (n=2,595; 1058 variables) Title Crosswalk File.dta (n=2,594; 3 variables) Lessons Learned and Open Dummies.dta (n=1,543; 200 variables) CCD dataset.dta (n=12,494; 89 variables) BVSB_REGION.dta (n=4; 3 variables) BVSB_SCHOOLS.dta (n=3; 3 variables) BVSB_STUDENTS.dta (n=3; 3 variables) BVSB_URBAN.dta (n=8; 3 variables) BVSB_WHITE.dta (n=3; 3 variables) FINALRAKER.dta (n=2,595; 2 variables)

Report on bullying, harassment and discrimination by school for July 1, 2020 through December 31, 2020. There are two additional file attached which breaks down the statistics by administrative district and data dictionary.

In the second quarter of 2025, Facebook took action on 4.1 million pieces of bullying and harassment related content, down from 5.1 million in the previous quarter. Overall, the first quarter of 2022 saw the highest ever number of bullying and harassment related pieces of content removed by the platform. Between the first quarter of 2020 and the first quarter of 2021, the removal of bullying and harassment content increased significantly.

Department of Education Bullying Harassment Discrimination Bi-Annual Report

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. Bullying affects large numbers of U.S. students in elementary schools and is associated with short and long-term harms for both victims and bullies. Although prevention is critical, schools also need effective interventions for dealing with bullying once it occurs. Funded by the National Institute of Justice, and in collaboration with the Oakland Unified School District and No Bully, WestEd conducted a two-year study of the impacts of the No Bully System (NBS) - a set of interventions designed to activate adult and peer support systems within the school for the targets of bullying. No Bully trains staff to prevent and interrupt student harassment and bullying and ensure school-wide antibullying policies are in place. The core component of NBS is the Solution Team where a trained adult facilitator (Solution Coach) brings together a group of 6-8 students (Solution Team) that includes the bully or bullies, bystanders and pro-social peers, and leads the team through a series of three brief meetings to end the bullying of one of their peers by cultivating empathy and developing peer-driven solutions. The target is not included in the initial meetings though s/he is invited to attend the final session. The collection contains 2 SPSS data files: NoBully_ST-Log-Data_final_archive.sav (n=94; 47 variables) and No-Bully_Survey-Data_final.sav (n=6410; 204 variables).

These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. This study tested a model of individual, familial, and peer variables that additively and synergistically increased or decreased the risk for sexual and teen dating violence based on bullying experiences in early adolescence. The study surveyed 1,162 students from three cohorts in four Midwestern middle schools, who were then followed into three high schools. Five waves of surveys collected information about the level of violence in student homes with parents and siblings or with other children, physical abuse, sexual abuse, exposure to domestic violence, frequency of bullying, self-reported delinquency, and exposure to delinquent friends during the middle school years. Waves six and seven were collected during high school and sexual violence and teen dating violence measures were added to the surveys.

According to a March 2023 survey, one-third of adults in the United States had experienced online harassment in the previous 12 months. In addition, 18 percent of respondents stated they had experienced severe online harassment.

This dataset is about book subjects. It has 2 rows and is filtered where the books is Bullying in American schools : causes, preventions, interventions. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

A March 2023 survey of American adults found that 35 percent of men and 31 percent of women experienced online harassment. Overall, the share of both demographic groups experiencing online harassment has increased since 2021 despite dropping in 2022.

Data Description

BullyingAct dataset was created to train models for detecting bullying behavior in school environments. Due to the lack of publicly available datasets focused on bullying detection, we generated this data ourselves by simulating various scenarios in a controlled school environment. The dataset contains images depicting different school activities, with a subset specifically illustrating instances of bullying or not, labeled accordingly for classification tasks.… See the full description on the dataset page: https://huggingface.co/datasets/Zoooora/BullyingAct.

Bullying Prevention Programs Market Outlook

According to our latest research, the global Bullying Prevention Programs market size reached USD 1.74 billion in 2024, with steady expansion driven by heightened awareness and regulatory mandates. The market is projected to grow at a CAGR of 7.2% from 2025 to 2033, reaching an estimated USD 3.27 billion by 2033. This robust growth is primarily attributed to increasing societal recognition of bullying as a critical issue, coupled with the proliferation of digital learning environments and the adoption of comprehensive prevention frameworks across educational, corporate, and community settings.

A major growth factor for the Bullying Prevention Programs market is the escalating awareness among parents, educators, and policymakers regarding the adverse effects of bullying on mental health and academic performance. Numerous studies have established strong correlations between bullying and long-term psychological consequences, such as depression, anxiety, and decreased academic achievement. This has prompted educational institutions and organizations worldwide to adopt evidence-based intervention programs. Moreover, the integration of social-emotional learning (SEL) components into these programs has further enhanced their efficacy, making them a preferred choice for schools and community organizations seeking holistic approaches to student well-being and safety.

Another significant driver is the rapid digitalization of education and workplace environments, which has led to the emergence of cyberbullying as a new challenge. The proliferation of smartphones, social media, and online communication platforms has increased the prevalence and complexity of bullying incidents, necessitating the development of specialized online and hybrid prevention solutions. Vendors are responding by offering adaptive, technology-driven programs that leverage artificial intelligence, gamification, and real-time monitoring to identify, prevent, and address bullying behaviors across virtual spaces. This shift is particularly prominent in regions with high digital penetration, where online programs are gaining traction among both educational institutions and corporate entities.

Furthermore, the introduction of stringent anti-bullying regulations and policies by governments and educational authorities has played a pivotal role in market expansion. Countries across North America, Europe, and Asia Pacific have implemented comprehensive legislative frameworks mandating the adoption of bullying prevention programs in schools and workplaces. These regulations often require regular training, reporting mechanisms, and data-driven evaluation of program effectiveness. As a result, the demand for customizable, compliant, and scalable solutions has surged, driving innovation and investment in the market. The ongoing collaboration between public institutions, non-profits, and private sector providers is also fostering the development of culturally relevant and accessible programs tailored to diverse demographic needs.

From a regional perspective, North America dominates the Bullying Prevention Programs market, accounting for over 38% of the global market size in 2024. This leadership is underpinned by well-established educational infrastructures, proactive government initiatives, and a high prevalence of technology adoption. Europe follows closely, driven by progressive policy frameworks and increasing focus on student mental health. Meanwhile, Asia Pacific is witnessing the fastest growth, fueled by rising awareness, urbanization, and significant investments in digital education platforms. Latin America and the Middle East & Africa are also emerging as promising markets, supported by international collaborations and targeted interventions addressing local socio-cultural dynamics.

Program Type Analysis

The Program Type segment of the Bullying Prevention Programs market encompasses a diverse array of interventions, including School-Base

According to a survey conducted in 2023 in the United States, over 77 percent of middle and high school students aged between 13 and 17 years had recently experienced someone posting hurtful comments about them online. Additionally, 70.4 percent of respondents reported someone spreading rumors about them online within the last 30 days.

Information on the Cyberbullying Bystander (CYBY23) Dataset

The data is stored as a .xlsx. The data file contains 17 columns:

tweet_id = id number of each tweet

reply_id = conversation id number, identical for all tweets belong to the same thread

text = text of tweet

class label = prsent the level of aggression of the whole thread by three-point scale (0-1-2). 0 - aggression(not bullying) 1 - bullying with low aggression 2 - bullying with high aggression

bystander role label = present the role of bystander who reply to the main tweet,as (0-1-2-3). 0 - instigator- This person agree with the main post 1 - defender- This person disagree with the main post 2 - impartial - This person is not taking any sides 3 - other - This person posted unrelated replies

created_at = refers to the date of creation

retweet_count = indicates the overall count of retweets.

favorite_count = indicates the total number of favorites.

Insult ,Threat ,Identity_Attack , Profanity ,Toxicity ,and Severe_Toxicity = multiple features scores obtained through the implementation of (Perspective API).

polarity,subjectivity,sentiment: multiple features scores obtained through the implementation of (textblob).

Reference for the dataset

To ensure proper acknowledgment and recognition of the dataset's source, we kindly request that you cite the following papers in any publications resulting from your work that utilize our dataset:

[Haifa Alfurayj, Syaheerah Lebai Lutfi, Ng Sui Yee, Bystanders Unveiled: Introducing a Comprehensive Cyberbullying Corpus with Bystander Information, IEEE Region 10 Technical Conferences (TENCON), Bangkok, 2023. Accepted for publication.]

[Haifa Alfurayj, Syaheerah Lebai Lutfi, Exploring Bystanders’ Roles in Labeled Cyberbullying Threads on Twitter: A preliminary analysis, IEEE Region 10 Technical Conferences (TENCON), Bangkok, 2023. Accepted for publication.]

This citation is essential to acknowledge the efforts of the creators and contributors who have made this dataset available for public use. It also enables us to track the impact and reach of our dataset, which in turn helps us to secure funding for future data collection and sharing initiatives.

Anonymous Bullying Reporting Apps Market Outlook

According to our latest research, the Global Anonymous Bullying Reporting Apps market size was valued at $412 million in 2024 and is projected to reach $1.12 billion by 2033, expanding at a robust CAGR of 11.8% during the forecast period of 2025–2033. The primary growth driver for this market is the increasing awareness and prioritization of mental health and safety across educational institutions, workplaces, and community organizations worldwide. As digital communication becomes more pervasive, the prevalence of bullying—both online and offline—has prompted organizations to implement proactive measures for reporting and addressing such incidents, thereby fueling demand for effective, anonymous reporting solutions.

Regional Outlook

North America currently holds the largest share of the Anonymous Bullying Reporting Apps market, accounting for over 38% of global revenue in 2024. This dominance can be attributed to the region’s mature digital infrastructure, widespread adoption of mobile technology, and progressive policies mandating anti-bullying measures in schools and workplaces. The United States, in particular, has implemented stringent regulations and guidelines that require educational institutions and corporations to provide safe channels for reporting harassment and bullying. Additionally, North America benefits from a high level of awareness regarding mental health and employee/student wellbeing, which further stimulates the adoption of anonymous reporting platforms. The presence of leading technology vendors and ongoing investments in cybersecurity and data privacy also play pivotal roles in sustaining the region’s market leadership.

The Asia Pacific region is expected to witness the fastest growth in the Anonymous Bullying Reporting Apps market, with a projected CAGR of 14.2% from 2025 to 2033. The surge in demand is driven by rapid digitalization, increasing smartphone penetration, and a growing emphasis on student and employee welfare across emerging economies such as India, China, and Southeast Asian countries. Governments and private organizations in the region are investing heavily in digital safety initiatives and integrating anonymous reporting solutions within their operational frameworks. The proliferation of cyberbullying incidents and the societal push for inclusive, safe environments are compelling educational institutions and workplaces to adopt these apps at an accelerated pace, making Asia Pacific a focal point for future market expansion.

Emerging economies in Latin America, the Middle East, and Africa are gradually increasing their adoption of Anonymous Bullying Reporting Apps, although they face unique challenges such as limited digital infrastructure, lower awareness levels, and socio-cultural barriers. Despite these hurdles, localized demand is rising, particularly in urban centers where educational and corporate entities are recognizing the importance of safe reporting mechanisms. Policy reforms and international collaborations are beginning to address regulatory gaps and promote digital literacy, which is expected to drive moderate but steady growth in these regions. However, the overall market share from these areas remains below 20% of the global total, underscoring the need for targeted strategies to overcome adoption challenges and unlock latent market potential.

Report Scope

Summary Statistics for Bullying Outcome Variables.

We map changes in the mental health of young people in the United States. Then we run multivariate analyses to capture the independent correlation between young people’s mental health and difficulties experienced in childhood - Adverse Child Experiences (ACE)s – together with the role played by social media, including via cyber-bullying. In doing so we exploit repeat cross-sectional data from the Behavioral Risk Factor Surveillance System (BRFSS) surveys from 2009–2023, the National Health Interview Surveys 1997–2021, the Healthy Minds Surveys 2007–2023 and the Youth Risk Behavior Surveillance System (YRBSS) for high school students. We find that poor mental health is on the rise in the United States, particularly among young women. ACEs have also been on the rise for the young and are strongly and significantly associated with poor mental health in adulthood. The impact of living with a household member with poor mental health is large relative to other ACEs and is particularly pronounced among younger people. Being bullied, including electronically, is also strongly negatively associated with the wellbeing of high school students. In the YRBS we find that time spent in front of a screen has been rising over time for high school children, especially girls, and that this has an independent negative impact on their mental health over and above bullying and being sexually abused as a child.

Weight is the most common reason for being bullied at school - far more common than other targets for bullying such as ethnicity, religion or sexual orientation. Most schools have anti-bullying policies with best practice suggesting policies should explicitly identify forms of unacceptable behaviour.

We conducted an audit of secondary schools in southwest England to determine if/how they mention weight-related bullying in their policies. We obtained lists of all secondary mainstream state, private, and specialist schools in seven local authorities and downloaded anti-bullying policies from their websites. Policies were searched for key words related to weight and size. We also recorded whether policies mentioned appearance or other key targets for bullying, such as race, religion, sexuality etc. We obtained school level data including size, gender mix, academic performance and quality ratings.

Context: Obesity is common, affecting 16% of adults and 6% of children in Europe, but it is also highly stigmatized. People are discriminated against because of their weight in medical, education, and workplace settings, with serious consequences. People who experience weight stigma have worse mental health and quality of life. People with obesity avoid seeking healthcare due to fear of negative, stigmatizing interactions with medical professionals. Ironically, weight stigma may also contribute to obesity, by affecting eating patterns and acting as barrier to physical activity. When weight stigma is 'internalized', people come to believe that negative obesity-related stereotypes apply to themselves - for example, thinking of themselves as lazy, incompetent, or less valuable than others. This 'internalized' weight stigma is linked to disordered eating not only for people with obesity, but also for normal-weight and underweight people. This means that weight stigma is relevant to mental health across the bodyweight range. There is widespread concern that public health initiatives aiming to reduce obesity may contribute to weight stigma, making them less effective, and causing harm. For example, sending 'weight report cards' to parents of UK schoolchildren does not reduce obesity, but does make heavier children skip breakfast and feel tired and unhappy at school. With the onset of the COVID-19 pandemic, the focus on weight control during national lockdowns may have made this situation worse, contributing to a huge increase in referrals to eating disorder services. Weight stigma is becoming recognised as a public health problem in its own right, but we do not know how to reduce weight stigma or protect people from its effects. This is because weight stigma research has been almost entirely based on small samples which are not representative of the whole population. Research has also focused on the United States, so we know very little about weight stigma in the UK or Europe. We do not know how a person's ethnicity or gender might change their experience of stigma around their weight, or what makes some young people more likely than others to 'internalize' weight stigma. Finally, previous research which did use larger, more representative samples may have been biased because of the methods used. Aims: This project aims to transform current understanding of the extent of everyday weight stigma, who is most affected by it, and how it becomes internalized, using large, general population European surveys. Objective 1: Explore how risk of discrimination and harassment varies with combinations of different ethnicities, genders, and body sizes. Objective 2: Investigate the extent of weight stigma in the workplace, and if this is changing with time, using methods to avoid bias which may have affected earlier research. Objective 3. Identify risk factors which make young people more likely to internalize weight stigma (apply negative obesity-related stereotypes to themselves). Potential applications and benefits: Objective 1 will help identify groups of adults at especially high risk of discrimination and harassment for multiple reasons and help us better understand how discrimination plays out in the UK. Objective 2 will clarify the need to tackle weight stigma in the workplace, for instance via employee training programmes - and if this need may increase in the future. Objective 3 will help identify which groups of young people are most at risk of negative psychological effects of weight stigma, and factors which could be used to protect them. It will help us better understand the relationships between weight stigma and mental health, including eating disorders and depression, and how attitudes about weight are passed down through families. Findings can be used by organizations and policymakers aiming to mitigate the effects of weight, ethnic, and gender discrimination, reduce bullying in the workplace, and improve mental health.

Relationship between Anti-Bullying Laws (ABLs) and Bullying Behavior of Different Parties: Linear Probability Model.