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This dataset provides information on annual victimization rates, including those related to harassment and other crimes against women, in the United States. The NCVS is conducted by the Bureau of Justice Statistics and is considered one of the most reliable sources of crime data.
This dataset contains information about online harassment, specifically related to trolling and online abuse. It includes data about the victims, types of harassment, and online platforms where the incidents occurred.
This database, available through the United Nations Office on Drugs and Crime (UNODC), provides comprehensive information about gender-based violence from various countries around the world. It includes data on different forms of violence, including harassment.
This compiled dataset combines various sources of information related to sexual assaults, including reporting rates, demographic information, and types of assaults. It can provide insights into the prevalence of sexual harassment cases.
It is important to note that these datasets may have specific limitations and biases, and caution should be taken when interpreting the results. Additionally, you might need to apply for access or permissions to use some of these datasets.
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The Demographic and Health Surveys (DHS) Program exists to advance the global understanding of health and population trends in developing countries.
The UN describes violence against women and girls (VAWG) as: “One of the most widespread, persistent, and devastating human rights violations in our world today. It remains largely unreported due to the impunity, silence, stigma, and shame surrounding it.”
In general terms, it manifests itself in physical, sexual, and psychological forms, encompassing: • intimate partner violence (battering, psychological abuse, marital rape, femicide) • sexual violence and harassment (rape, forced sexual acts, unwanted sexual advances, child sexual abuse, forced marriage, street harassment, stalking, cyber-harassment), human trafficking (slavery, sexual exploitation) • female genital mutilation • child marriage
The data was taken from a survey of men and women in African, Asian, and South American countries, exploring the attitudes and perceived justifications given for committing acts of violence against women. The data also explores different sociodemographic groups that the respondents belong to, including: Education Level, Marital status, Employment, and Age group.
It is, therefore, critical that the countries where these views are widespread, prioritize public awareness campaigns, and access to education for women and girls, to communicate that violence against women and girls is never acceptable or justifiable.
| Field | Definition |
|---|---|
| Record ID | Numeric value unique to each question by country |
| Country | Country in which the survey was conducted |
| Gender | Whether the respondents were Male or Female |
| Demographics Question | Refers to the different types of demographic groupings used to segment respondents – marital status, education level, employment status, residence type, or age |
| Demographics Response | Refers to demographic segment into which the respondent falls (e.g. the age groupings are split into 15-24, 25-34, and 35-49) |
| Survey Year | Year in which the Demographic and Health Survey (DHS) took place. “DHS surveys are nationally-representative household surveys that provide data for a wide range of monitoring and impact evaluation indicators in the areas of population, health and nutrition. Standard DHS Surveys have large sample sizes (usually between 5,000 and 30,000 households) and typically are conducted around every 5 years, to allow comparisons over time.” |
| Value | % of people surveyed in the relevant group who agree with the question (e.g. the percentage of women aged 15-24 in Afghanistan who agree that a husband is justified in hitting or beating his wife if she burns the food) |
Question | Respondents were asked if they agreed with the following statements: - A husband is justified in hitting or beating his wife if she burns the food - A husband is justified in hitting or beating his wife if she argues with him - A husband is justified in hitting or beating his wife if she goes out without telling him - A husband is justified in hitting or beating his wife if she neglects the children - A husband is justified in hitting or beating his wife if she refuses to have sex with him - A husband is justified in hitting or beating his wife for at least one specific reason
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TwitterThis is an Official Statistics bulletin produced by statisticians in the Ministry of Justice, Home Office and the Office for National Statistics. It brings together, for the first time, a range of official statistics from across the crime and criminal justice system, providing an overview of sexual offending in England and Wales. The report is structured to highlight: the victim experience; the police role in recording and detecting the crimes; how the various criminal justice agencies deal with an offender once identified; and the criminal histories of sex offenders.
Providing such an overview presents a number of challenges, not least that the available information comes from different sources that do not necessarily cover the same period, the same people (victims or offenders) or the same offences. This is explained further in the report.
Based on aggregated data from the ‘Crime Survey for England and Wales’ in 2009/10, 2010/11 and 2011/12, on average, 2.5 per cent of females and 0.4 per cent of males said that they had been a victim of a sexual offence (including attempts) in the previous 12 months. This represents around 473,000 adults being victims of sexual offences (around 404,000 females and 72,000 males) on average per year. These experiences span the full spectrum of sexual offences, ranging from the most serious offences of rape and sexual assault, to other sexual offences like indecent exposure and unwanted touching. The vast majority of incidents reported by respondents to the survey fell into the other sexual offences category.
It is estimated that 0.5 per cent of females report being a victim of the most serious offences of rape or sexual assault by penetration in the previous 12 months, equivalent to around 85,000 victims on average per year. Among males, less than 0.1 per cent (around 12,000) report being a victim of the same types of offences in the previous 12 months.
Around one in twenty females (aged 16 to 59) reported being a victim of a most serious sexual offence since the age of 16. Extending this to include other sexual offences such as sexual threats, unwanted touching or indecent exposure, this increased to one in five females reporting being a victim since the age of 16.
Around 90 per cent of victims of the most serious sexual offences in the previous year knew the perpetrator, compared with less than half for other sexual offences.
Females who had reported being victims of the most serious sexual offences in the last year were asked, regarding the most recent incident, whether or not they had reported the incident to the police. Only 15 per cent of victims of such offences said that they had done so. Frequently cited reasons for not reporting the crime were that it was ‘embarrassing’, they ‘didn’t think the police could do much to help’, that the incident was ‘too trivial or not worth reporting’, or that they saw it as a ‘private/family matter and not police business’
In 2011/12, the police recorded a total of 53,700 sexual offences across England and Wales. The most serious sexual offences of ‘rape’ (16,000 offences) and ‘sexual assault’ (22,100 offences) accounted for 71 per cent of sexual offences recorded by the police. This differs markedly from victims responding to the CSEW in 2011/12, the majority of whom were reporting being victims of other sexual offences outside the most serious category.
This reflects the fact that victims are more likely to report the most serious sexual offences to the police and, as such, the police and broader criminal justice system (CJS) tend to deal largely with the most serious end of the spectrum of sexual offending. The majority of the other sexual crimes recorded by the police related to ‘exposure or voyeurism’ (7,000) and ‘sexual activity with minors’ (5,800).
Trends in recorded crime statistics can be influenced by whether victims feel able to and decide to report such offences to the police, and by changes in police recording practices. For example, while there was a 17 per cent decrease in recorded sexual offences between 2005/06 and 2008/09, there was a seven per cent increase between 2008/09 and 2010/11. The latter increase may in part be due to greater encouragement by the police to victims to come forward and improvements in police recording, rather than an increase in the level of victimisation.
After the initial recording of a crime, the police may later decide that no crime took place as more details about the case emerge. In 2011/12, there were 4,155 offences initially recorded as sexual offences that the police later decided were not crimes. There are strict guidelines that set out circumstances under which a crime report may be ‘no crimed’. The ‘no-crime’ rate for sexual offences (7.2 per cent) compare
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TwitterIn 2023, Texas had the highest number of forcible rape cases in the United States, with 15,097 reported rapes. Delaware had the lowest number of reported forcible rape cases at 194. Number vs. rate It is perhaps unsurprising that Texas and California reported the highest number of rapes, as these states have the highest population of states in the U.S. When looking at the rape rate, or the number of rapes per 100,000 of the population, a very different picture is painted: Alaska was the state with the highest rape rate in the country in 2023, with California ranking as 30th in the nation. The prevalence of rape Rape and sexual assault are notorious for being underreported crimes, which means that the prevalence of sex crimes is likely much higher than what is reported. Additionally, more than a third of women worry about being sexually assaulted, and most sexual assaults are perpetrated by someone the victim knew.
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TwitterThe goal of the study was to develop an intervention that would be analogous to safety planning for battered women, and one that could be used by sexual assault counselors as an adjunct to psychological counseling. The project was conducted at Safe Horizon in New York City and at Harborview Medical Center in Seattle from August 2003 to May 2005. The client populations of the two programs were complementary. Safe Horizon's clients were primarily Black (36 percent) and Latina (26 percent). In contrast, a majority of Harborview clients were White (59 percent), although Harborview also had many non-White, non-Hispanic clients. Approximately half of the eligible candidates were randomly assigned to participate in a four-hour workshop on avoiding sexual assault while the others were assigned to a control condition that did not receive the training. Both groups participated in a baseline assessment battery administered in person. After completion of the assessment, those assigned to the experimental condition began the workshop. Researchers contacted women in both groups six months later for a second assessment, this time conducted over the phone. The 14 data files contain information related to alcohol consumption, tonic immobility, knowledge of sexual assault risk factors, attributions for the most recent sexual assault, self-efficacy, risky behaviors, post-traumatic stress disorder (PTSD) symptomology, and sexual victimization. The data also contain one file with demographic information. Each data file contains 84 cases. Across all parts, the data collection has 612 variables.
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TwitterThe purpose of this study was to use data from the National Crime Survey (NCS) and the National Crime Victimization Survey (NCVS) to explore whether the likelihood of police notification by rape victims had increased between 1973-2000. To avoid the ambiguities that could arise in analyses across the two survey periods, the researchers analyzed the NCS (1973-1991) and NCVS data (1992-2000) separately. They focused on incidents that involved a female victim and one or more male offenders. The sample for 1973-1991 included 1,609 rapes and the corresponding sample for 1992-2000 contained 636 rapes. In their analyses, the researchers controlled for changes in forms of interviewing used in the NCS and NCVS. Logistic regression was used to estimate effects on the measures of police notification. The analyses incorporated the currently best available methods of accounting for design effects in the NCS and NCVS. Police notification served as the dependent variable in the study and was measured in two ways. First, the analysis included a polytomous dependent variable that contrasted victim reported incidents and third-party reported incidents, respectively, with nonreported incidents. Second, a binary dependent variable, police notified, also was included. The primary independent variables in the analysis were the year of occurrence of the incident reported by the victim and the relationship between the victim and the offender. The regression models estimated included several control variables, including measures of respondents' socioeconomic status, as well as other victim, offender, and incident characteristics that may be related both to the nature of rape and to the likelihood that victims notify the police.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/38500/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38500/terms
The National Survey of Youth in Custody (NSYC) is part of the BJS National Prison Rape Statistics Program to gather mandated data on the incidence of prevalence of sexual assault in juvenile facilities under the Prison Rape Elimination Act of 2003 (PREA; P.L. 108-79). The Act requires a 10 percent sample of juvenile facilities to be listed by incidence of sexual assault. Data are collected directly from youth in a private setting using audio computer-assisted self-interview (ACASI) technology with a touch-screen laptop and an audio feed to maximize inmate confidentiality and minimize literacy issues. The NSYC-3 was administered to 6,910 youth in 332 state operated and locally or privately operated juvenile facilities within the United States. Youth were randomly assigned to either a sexual victimization questionnaire (90%) or an alternative questionnaire (10%). Sexual victimization questionnaire: Youth selected for this questionnaire received one of two versions, based on their age. The Older Youth questionnaire was administered to youths ages 15 and up, and the Younger Youth questionnaire was administered to those 14 and younger. The survey was divided into six sections. Section A collected background information, such as details of admission to facility and demographics including education, height, weight, race, ethnicity, gender, sexual orientation, and history of any forced sexual contact. Section B, Facility Perceptions and Victimization, included respondents' opinions of the facility and staff, any incidence of gang activity, and any injuries that had occurred. Section C, Sexual Activity Within Facility, captured the types of sexual contact that occurred and the circumstances of sexual contact. Section D, Description of Event(s) with Youth, and Section E, Description of Event(s) with Staff, focused on when and where the contact occurred, the race and gender of the other youths or staff members, if threats or coercion were involved, and outcomes, including whether or not the sexual contact was reported. Section F collected additional information about the youth, such as disability and mental health conditions, and the facility, including living conditions and use of restrictive housing. Alternative questionnaire: A random selection of youth were assigned to an alternative questionnaire to "mask" which questions an individual might have been asked. In addition to Sections A, B, and F from the sexual victimization questionnaire, this questionnaire included sections on facility living conditions, mental health, grievance procedures, substance use, treatment programs, living arrangements, youth education and aspirations, communication with family, and post-release plans. A Facility Questionnaire (FQ) collected in-depth information on each sampled facility via an online questionnaire. Topics included number of facility staff by race/ethnicity, job category, age, and length of service; staff turnover/vacant positions; personnel screening; staff training; number of youth, admissions, and discharges; rated capacity (i.e., number of beds), occupancy, and crowding; youth disabilities; grievance process; special housing; and youth education on PREA. Other variables in the datasets include debriefing questions about respondents' experiences completing the survey, interviewer observations, created variables to summarize victimization reports (due to the complex routing in Section C), weight and stratification data, and administrative data about the facilities.
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Despite the recognized need to address the prevention of sexual violence against adolescents in Nigeria, significant research gaps persist in understanding the patterns, determinants, and impacts of such violence, particularly regarding regional variations and the specific developmental needs of adolescents across different stages. This study provides Nigerian regional prevalence estimates disaggregated by gender, rural/urban, and in/out-of-school populations, while also identifying socio-demographic and cultural determinants related to increased vulnerability. A cross-sectional survey was conducted in South-West Nigeria with a sample of 961 adolescents, targeting in- and out-of-school adolescents aged 13–17 years. Descriptive statistics and logistic regression analyses were performed.The prevalence of any form of SV since age 12 was 69.4%, with higher rates among out-of-school adolescents and boys. Non-contact abuse (63.2%), passive contact abuse (41.9%), and active contact abuse (28.7%) were the most common forms reported. Peers were the dominant perpetrators (77.1%), followed by other adults (27.9%). Being male (OR 2.033), older (OR 1.214 per year), involved in a romantic relationship (OR 2.731), and experiencing SV before age 12 (OR 4.622) were significant risk factors. Higher household wealth (OR 0.902 per asset) and emotional support from both parents (OR 0.413) were protective factors.This study highlights the high burden of SV against adolescents in Nigeria, with concerning patterns of male victimization and peer perpetration. The findings emphasize the need for comprehensive, evidence-based strategies addressing emotional support, social norms, power dynamics, and economic vulnerabilities to prevent and respond to this problem effectively.
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Abstract Objective To evaluate the assistance provided to women victims of sexual violence and their participation in the follow-up treatment after the traumatic event, presenting a sociodemographic profile, gynecological background, and circumstances of the event, and reporting the results, acceptance, and side effects of prophylaxis for sexually transmitted infections (STIs) and pregnancy. Methods A retrospective cohort study comprising the period between 2007 and 2016. All women receiving medical care and clinical follow-up after a severe episode of sexual violence were included. Records of domestic violence, male victims, children, and adolescents who reported consensual sexual activity were excluded. The present study included descriptive statistics as frequencies and percentages. Results A total of 867medical records were reviewed and 444 cases of sexual violence were included. The age of the victims ranged from10 to 77 years old, most of them selfdeclared white, with between 4 and 8 years of education, and denying having a sexual partner. Sexual violence occurred predominantly at night, on public thoroughfare, being committed by an unknown offender. Most victims were assisted at the referral service center within 72 hours after the violence, enabling the recommended prophylaxis. There was high acceptance of antiretroviral therapy (ART), although half of the users reported side effects. Seroconversion to human immunodeficiency virus (HIV) or to hepatitis B virus (HBV) was not detected in women undergoing prophylaxis. Conclusion In the present cohort, the profile of victims of sexual violence was loweducated, young, white women. The traumatic event occurred predominantly at night, on public thoroughfare, being committed by an unknown offender. Assistance within the first 72 hours after sexual violence enables the healthcare center to provide prophylactic interventions against STIs and unwanted pregnancies.
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In present times, gender-based violence (GBV) is a global scourge. It is highly prevalent in South Africa, where the rates of incidents are exorbitant, particularly those of sexual violence against women. The goal of this paper is to explore the implications of factors such as societal norms affected by the country’s unique historical circumstances that promote rising rates of gender-based violence, significant underreporting of these instances, sexual violence and the consequences for the survivors. The paper uses secondary data to study the intersectionality of gender, population group (race), socio-economic status, and geographical location. We further analyze the sociodemographic of GBV (particularly rape) victims and perpetrators to put the focus on better and more gender-responsive prevention strategies. The paper highlights the importance of paying attention to intimate partner violence (IPV) as this constitutes a highly significant percentage of the total cases of rape and femicide. The study shows that non-white women constitute the most vulnerable group to GBV. We conclude that proper mechanisms must be put in place which require the cooperation of the police, judicial, medical, social and other support services to properly tackle this violence which must account for every population group, especially the historically marginalized ones.Citation: Alvarez Merino, E., & Afa, I. J. (2025). Exploring the Complexities of Gender-Based Violence in South Africa: A Comprehensive Analysis. International Journal of Humanities and Social Science, 15, 26-38. https://doi.org/10.1080/ijhss.v15p3URL: https://ijhssnet.com/journal/index/5011
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TwitterIn the past few years it has become alarmingly clear that women with disabilities are at an extremely high risk for emotional, sexual, and physical assault. The Developmental Disabilities Institute at Wayne State University, in collaboration with the United Cerebral Palsy Association in Michigan, conducted a one-year study to investigate the prevalence and correlates of, and service system capacity related to, domestic abuse among women with physical disabilities in Michigan. The study aimed to address the following research questions: (1) What is the prevalence of domestic violence among a sample of women with physical disabilities? (2) What potential factors for domestic violence exist among women with physical disabilities? and (3) What is the capacity of existing support programs (e.g., safe houses, shelters, and service agencies) to assist women with physical disabilities? The population for this study was women over the age of 18 who had physical disabilities. Consistent with the work of other researchers, physical disabilities in this study were defined as those disabilities that result in functional impairment, such as cerebral palsy, post-polio syndrome, spina bifida, amputation, rheumatic conditions, multiple sclerosis, spinal cord injury, traumatic brain injury, visual impairment, hearing impairment, and stroke. A sample of 177 women was recruited through several mechanisms. To address the question of domestic abuse prevalence, the women participating in the study were first asked to complete a brief questionnaire addressing demographic characteristics and their experience with domestic violence (Part 1, Screening Interview Data). Fifty-six percent (100) of the 177 women interviewed indicated a positive history of abuse at their initial screening. In order to address the second research question about the correlates of abuse, this subsample of 100 women was invited and encouraged to participate in the second phase of the research, which involved a more extensive interview (Part 2, Abuse Interview Data). The interview used was based on a protocol developed by Nosek (1995) that addressed demographic characteristics, social networks, and abuse history. Variables in Parts 1 and 2 include type of disability, type of personal assistance needed, and whether the respondent was ever physically, emotionally, or sexually abused. Part 2 also contains variables on sources of monthly income, who perpetrated the abuse, the abuser's gender, how long the victim knew the abuser, whether the victim sought assistance from a domestic violence program or shelter, and a description of the worst incident of physical abuse. Demographic variables in Parts 1 and 2 include ethnicity, age, employment status, and marital status.
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TwitterThe purpose of this study was to examine whether the National Institute of Child Health and Human Development (NICHD) Investigative Interview Protocol impacted child sexual abuse case outcomes within the justice system. The researchers coded information from child protection and police reports, Children's Justice Center (CJC) intake forms, and the CJC electronic database to create a dataset on 1,280 alleged child sexual abuse cases involving children interviewed in Salt Lake County, Utah, between 1994 and 2000. Specifically, the research team gathered case characteristics and case outcomes data on 551 alleged child sexual abuse cases in which investigative interviews were conducted from 1994 to mid-September 1997 before the NICHD protocol was implemented, and 729 alleged child sexual abuse cases in which investigative interviews were conducted from mid-September 1997 to 2000 after the implementation of the NICHD protocol, so that pre-NICHD protocol and NICHD protocol interview case outcomes could be compared. The same police detectives conducted both the pre-NICHD protocol interviews and the NICHD protocol interviews. The dataset contains a total of 116 variables pertaining to cases of suspected child abuse. The major categories of variables include demographic data on the suspected child victim and on the suspected perpetrator, on case characteristics, on case outcomes, and on time delays.
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Abstract (en): The impact of criminal victimization on the health status of women is the focus of this data collection. The researchers examined the extent to which victimized women differed from nonvictimized women in terms of their physical and psychological well-being and differences in their use of medical services. The sample was drawn from female members of a health maintenance plan at a worksite in Cleveland, Ohio. Questions used to measure criminal victimization were taken from the National Crime Survey and focused on purse snatching, home burglary, attempted robbery, robbery with force, threatened assault, and assault. In addition, specific questions concerning rape and attempted rape were developed for the study. Health status was assessed by using a number of instruments, including the Cornell Medical Index, the Mental Health Index, and the RAND Corporation test battery for their Health Insurance Experiment. Medical service usage was assessed by reference to medical records. Demographic information includes age, race, income, and education. Crime is a major source of stress for its victims. To the extent that stress is linked to illness, criminal victimization may be associated with medical service usage. This study was conducted to explore the impact of criminal victimization on the psychological and physical well-being of women. Women were the focus of the study in order to examine the disproportionate effects of interpersonal violence. The study was conducted at a worksite in Cleveland, Ohio. In order to increase the availability of complete medical histories, participants were members of a worksite health maintenance plan. Plan members were randomly selected and contacted by telephone or mail to arrange interviews. The study was conducted at a single worksite in Cleveland, Ohio. To increase the availability of medical histories, respondents were members of a worksite health maintenance plan. Data consist of self-assessments of physical and psychological health conducted in personal interviews and objective data collected from medical records. To assure confidentiality, interviewers were not employees of the health maintenance plan. Interviewers received instruction in the interview protocol. The survey was developed using the "Total Design Method" in order to maximize response rates. Interviews covered the extent to which women were victimized by crime and their usage of medical services. Questions used to measure criminal victimization were taken from the National Crime Survey and focused on purse snatching, home burglary, attempted robbery, robbery with force, threatened assault, and assault. In addition, specific questions concerning rape and attempted rape were developed for the study. Health status was assessed by using a number of instruments, including the Cornell Medical Index, the Mental Health Index, and the RAND Corporation test battery for their Health Insurance Experiment. Medical service usage was assessed by reference to medical records. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized missing values.. Presence of Common Scales: None. Response Rates: For individuals contacted by telephone: 19 percent resulting in 194 interviews, including both victims and nonvictims of crime. For individuals contacted by mail: 45 percent resulting in 219 additional victims of crime. The two contact methods yielded 413 interviews with complete data available for 390 of them. Adult women who were members of a health maintenance plan at a worksite in Cleveland, Ohio, in 1986. Two sampling methods were used. Approximately 20 percent of the female members of the health maintenance plan were contacted by telephone. This resulted in 194 completed personal interviews. To augment the number of victimized women included in the sample, screening surveys were sent to all women health plan members, resulting in another 219 completed interviews. 2006-01-12 All files were removed from dataset 10 and flagged as study-level files, so that they will accompany all downloads.2006-01-12 All files were removed from dataset 3 and flagged as study-level files, so that they will accompany all...
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Description Trigger warning: The data in this competition can contain graphic descriptions of or extensive discussion of abuse, especially sexual abuse or torture.
Gender-based violence, or GBV, is an ongoing and ever-resent scourge around the world and is particularly prevalent in developing and least-developed countries. Gender-based violence also increased in many parts of the world during the COVID-19 pandemic.
One of the greatest challenges in combating GBV is the ‘culture of silence’, where victims of violence are scared, ashamed, or intimidated to discuss their experiences with others and often do not report their experiences to authorities.
Another challenge faced by victims is achieving justice for their abusers. Some may not be aware of support systems, or not know where and how to report the perpetrators.
Victims may find safety sharing their experiences online (as evidenced by the #MeToo movement), allowing them to get more support in an anonymous and safe way.
The objective of this challenge is to create a machine-learning algorithm that classifies tweets about GBV into one of five categories: sexual violence, emotional violence, harmful traditional practices, physical violence, and economic violence.
Your solutions can be used to summarise tweets and present evidence to policymakers and law enforcement agencies. Along with the classification algorithm, statistics about when and who made the tweet can be used to find trends while preserving anonymity.
About SDG5: Gender Equality
Gender equality is a fundamental and inviolable human right and women’s and girls’ empowerment is essential to expand economic growth, promote social development and enhance business performance. The full incorporation of women’s capacities into labor forces would add percentage points to most national growth rates – double digits in many cases. Further, investing in women’s empowerment produces the double dividend of benefiting women and children, and is pivotal to the health and social development of families, communities, and nations.
Empowering women and girls and achieving gender equality requires the concerted efforts of all stakeholders, including businesses. All companies have baseline responsibilities to respect human rights, including the rights of women and girls. Beyond these baseline responsibilities, companies also have the opportunity to support the empowerment of women and girls through core business, social investment, public policy engagement, and partnerships. As the engine for 90 percent of jobs in developing countries, technological innovation, capital creation, and investment, responsible business is critical to the advancement of women’s and girls’ empowerment around the world. With a growing business case, private sector leaders are increasingly developing and adapting policies and practices, and implementing cutting-edge initiatives, to advance women’s empowerment within their workplaces, marketplaces, and communities. The launch of the SDGs in September provides a tremendous opportunity for companies to further align their strategies and operations with global priorities by mainstreaming gender equality into all areas of corporate sustainability and systematically and strategically scaling up actions that support the development and livelihoods of women and girls.
About Trigger warning: The data in this competition can contain graphic descriptions of or extensive discussion of abuse, especially sexual abuse or torture.
The data was collected from Twitter using a Python library (twint) by Ambassador Lawrence Moruye for the AFD Gender-Based Violence Dataset Collection Challenge.
The objective of this challenge is to create a machine-learning algorithm that classifies tweets about GBV into one of five categories: sexual violence, emotional violence, harmful traditional practices, physical violence, and economic violence.
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Based on data from n = 752 respondents of which 421 women and 331 men (due to missing values).Percentage of the total respondents with sexual abuse, by gender.Total exceeds 100% because multiple answers where possible.Namely: Brazil, Colombia, Egypt (male victim), Indonesia, Iran and Russia.Included: Morocco, Surinam, Dutch Antilles, elsewhere non-western.
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TwitterIncludes violence committed by a current or former spouse, common-law partner, dating partner, or person with whom the victim was in another type of intimate relationship. Percentage calculation excludes respondents who reported that they have never been in an intimate partner relationship.2.Includes violence committed by another perpetrator with whom the victim did not have an intimate relationship, including acquaintances, friends, family members, co-workers and others.
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Significant differences by race are denoted in bold italics.
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Prior research endorsed the establishment of sexual assault centres in the Netherlands because of the potential benefit for victims’ mental recovery. In 2012, the first Dutch sexual assault centre was founded at the University Medical Center Utrecht. The aim of the centre is to provide 24/7 coordinated and integrated services (i.e., medical, forensic, and psychological) in one location. The purpose of the present study was to describe demographic, background, and assault characteristics of victims seen at the centre within one week post-assault, and their use of post-assault services in order to improve current services. From January 2012 to September 2013, prospective data of 108 patients were collected. To describe the population included, frequency counts and proportions were generated for categorical variables. The mean age was 21.3 years (SD=9.8). Most victims were female (91.7%). A large proportion of victims reported background characteristics known to increase the risk for post-traumatic stress disorder (PTSD) and revictimisation such as prior sexual abuse (32.4%), pre-existing use of mental health services (45.4%), and not living with both biological parents (61.7%). Most patients (88.9%) consulted the centre within 72 hours post-assault. The uptake of services was high: 82.4% received emergency medical care, 61.7% underwent a forensic–medical exam, 34% reported to the police, and 82.4% utilised psychological services. To prevent revictimisation and PTSD, current psychological services could be improved with immediate trauma-focused treatments. Current forensic services may be improved with the use of standard top to toe forensic–medical examinations for both children and adults.
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This dataset provides information on annual victimization rates, including those related to harassment and other crimes against women, in the United States. The NCVS is conducted by the Bureau of Justice Statistics and is considered one of the most reliable sources of crime data.
This dataset contains information about online harassment, specifically related to trolling and online abuse. It includes data about the victims, types of harassment, and online platforms where the incidents occurred.
This database, available through the United Nations Office on Drugs and Crime (UNODC), provides comprehensive information about gender-based violence from various countries around the world. It includes data on different forms of violence, including harassment.
This compiled dataset combines various sources of information related to sexual assaults, including reporting rates, demographic information, and types of assaults. It can provide insights into the prevalence of sexual harassment cases.
It is important to note that these datasets may have specific limitations and biases, and caution should be taken when interpreting the results. Additionally, you might need to apply for access or permissions to use some of these datasets.