Hate Crime Research Articles

We exist and resist as woven patches: Collective narrative practices in an activist context challenging and responding to an anti-lesbian hate crime

This article describes a participatory process in which a group of feminist, lesbian feminist and dissident activists came together to respond therapeutically to the impacts of anti-lesbian hatred. The therapeutic context was created gradually with the deployment of a set of metaphors related to textile art, inspired by the re-authoring conversations proposed by Michael White. The process included the creation of a collective document that acknowledges and honours the participants’ wisdom, knowledge and particular ways of responding to anti-lesbian hatred. This work was embodied in three different forms: a patchwork quilt, a video and a fanzine. Collectivised through a definitional ceremony, these forms embraced manual-artistic creation and the materiality of fabric as valued means of expression, beyond the limits of the verbal. This work contributed to the visibility, externalisation and politicisation of acts of injustice, acknowledging forms of resistance, care and protest. The process invited us to reflect on the importance of collectivisation, fluidity and flexibility in structuring the therapeutic space, and allowed us to question the roles of therapist and activist as predefined identities.

‘I felt . . . caged’: Victims of hate crime and their negotiation of space

This article considers the modes by which hate crime shapes targeted groups’ engagement with public space. It breaks new ground by drawing on spatial concepts and embodiment theory, to consider the geographic dimensions of hate crime. The ways in which targeted groups negotiate, restrict and curtail their movements, and attempt to conceal their targeted identities, in public are detailed. We argue victims experience a profound sense of dislocation from their local communities. This is explored by focussing on the spatial consequences of hate crime for victims, both at the material level, through the restriction of their physical movement, and also somatically, through feelings of restriction inculcated into victims’ affective being. Drawing on inductive qualitative fieldwork conducted in Ireland, we consider some of the particularities of the Irish case while also advocating for a wider understanding of the link between space and hate crime.

A - 67 A Critical Analysis of EEG Neurofeedback Training Efficacy in Historically Disadvantaged Communities

Abstract Objective Electroencephalogram neurofeedback training (EEG-NFT) is gaining popularity as a way of supporting emotional regulation following traumatic brain injury (TBI; Dehghani et al., 2023; Bezmaternykh et al., 2021; Rajeswaran and Bennett, 2019), as well as mental disorders defined in the DSM-5-TR (American Psychiatric Association [APA], 2022; Deiber et al., 2021; Micoulaud-Franchi et al., 2021; Neurofeedback Collaborative Group, 2023). EEG-NFT can extend well beyond TBIs and mental health disorders, especially in marginalized individuals facing ongoing trauma due to discrimination, hate crimes, and chronic stress as a result of frequent micro- and macroaggressions (Choi et al., 2022; Majeno et al., 2021; Moody and Lewis, 2019). One area not explored is the efficacy of EEG-NFT for individuals who have experienced racial or gender discrimination, especially if they are receiving training while continuing to experience microaggressions during the course of treatment. The authors commenced a review to determine (1) how often demographic data is shared in EEG-NFT research, (2) how frequently individuals who experience stigma enroll in neurofeedback, and (3) the efficacy of EEG-NFT specifically on marginalized individuals. Method Literature Review. Results Current literature reveals a deficiency in research amongst marginalized populations. Conclusions EEG-NFT shows promising results in emotional regulation for various mental disorders and TBIs, but there remains a significant gap in understanding its effectiveness for marginalized populations. The authors are moving forward with a detailed study, starting with an IRB proposal at Antioch University New England, to explore the efficacy of EEG-NFT in these underrepresented groups and plan to present preliminary results later this year.

The Social Production of Hate Crime Statistics: The Differential Construction of Islamophobic Hate Crime by the Media and Law Enforcement

The decentralized nature of American policing largely allows agencies to define crime, and the requisite severity of that crime, at the institutional level. As a result, local hate crime statistics are differentially constructed across space. The current research posits that official hate crime statistics most accurately reflect a rate-producing, rather than a behavior-producing, process. Focusing on anti-Muslim hate crime, a particularly understudied form of hate crime, we examine reporting differences across community factors, using the media reports as a comparison point. We analyze official FBI hate crime reports, and news reports collected by Mapping Islamophobia, employing a logistic regression to predict anti-Muslim hate crime reporting. Our findings suggest significant variation in the social construction of anti-Muslim hate crime, both across institutions and across space.

‘My trust in strangers has disappeared completely’: How hate crime, perceived risk, and the concealment of sexual orientation affect fear of crime among Swedish LGBTQ students

Previous research has established correlations between anti-LGBTQ hate crime, fear of crime, perceived victimization risk, and the concealment of sexual orientation. Aside from correlations, the relationships between these variables remain poorly understood. Therefore, the aim of the present study is to explore the relationships between anti-LGBTQ hate crime, perceived risk, and the concealment of sexual orientation in relation to fear of crime. Based on previous research and theory, the authors hypothesize (1) that experiences of hate crime victimization increase fear of crime, perceived victimization risk, and the concealment of sexual orientation; (2) that high levels of perceived risk result in high fear of crime and a more prevalent concealment of orientation; and (3) that the concealment of sexual orientation results in lower fear of crime. The sample consists of LGBTQ students enrolled at a Swedish university. The study uses a mixed method approach, combining survey data ( N = 353) and interview data ( N = 10). The data are assessed using path analysis and thematic analysis. The path analysis supported the authors’ hypothesis regarding experiences of anti-LGBT hate crime, perceived risk, and fear of crime. The qualitative analysis showed that victims of hate crimes had a reduced ability to process negative emotions because they experienced other traumatic life events parallel to the victimization. Similarly, feelings of being reduced to a negative stereotype resulted in higher levels of both fear of crime and perceived risk. Finally, the path analysis rejected the hypothesis that the concealment of sexual orientation results in lower fear of crime. Rather than being an agency-driven and functional fear response, the interview data showed that while these practices reduced victimization risk, they negatively impacted the overall health of the participants through feelings of lack of authenticity and self-censorship.

Both‐Sideology Endangers Democracy and Social Science

AbstractIn social psychology these days it is commonplace to read or hear that liberal‐leftists and conservative‐rightists are every bit as “moral”; prejudiced and intolerant; susceptible to misinformation, “fake news,” and conspiratorial thinking; lax about upholding democratic standards; and prone to terrorism and political violence. Upon careful inspection, however, I conclude that every one of these claims is false or misleading. Liberal‐leftists in the United States and elsewhere are demonstrably more committed than conservative‐rightists to humanistic‐egalitarian values, deliberative reasoning, and adherence to democratic norms. In Western societies, acts of authoritarian aggression, hate crimes, and political violence are overwhelmingly more likely to come from the right than the left. As a witness to Nazi atrocities, Kurt Lewin deeply understood the role of historical, economic, and political forces in human lives and the interdependence between democracy and social science. He rejected moral relativism and what I call “both‐sideology” and offered a sophisticated critique of anti‐democratic tendencies. There are perfectly understandable reasons why people—especially academics and journalists—would be tempted to draw parallels between the left and right, and indeed there are many similarities as well as dissimilarities between liberal‐leftists and conservative‐rightists. However, the uncritical adoption of both‐sideology threatens liberal democracy itself and, with it, the only social science worth having. What we—as citizens and social scientists—need now is a renewal and revitalization of Lewin's critical‐emancipatory legacy before it is too late.

From Tweets to Streets: Observational Study on the Association Between Twitter Sentiment and Anti-Asian Hate Crimes in New York City from 2019 to 2022.

Anti-Asian hate crimes escalated during the COVID-19 pandemic; however, limited research has explored the association between social media sentiment and hate crimes toward Asian communities. This study aims to investigate the relationship between Twitter (rebranded as X) sentiment data and the occurrence of anti-Asian hate crimes in New York City from 2019 to 2022, a period encompassing both before and during COVID-19 pandemic conditions. We used a hate crime dataset from the New York City Police Department. This dataset included detailed information on the occurrence of anti-Asian hate crimes at the police precinct level from 2019 to 2022. We used Twitter's application programming interface for Academic Research to collect a random 1% sample of publicly available Twitter data in New York State, including New York City, that included 1 or more of the selected Asian-related keywords and applied support vector machine to classify sentiment. We measured sentiment toward the Asian community using the rates of negative and positive sentiment expressed in tweets at the monthly level (N=48). We used negative binomial models to explore the associations between sentiment levels and the number of anti-Asian hate crimes in the same month. We further adjusted our models for confounders such as the unemployment rate and the emergence of the COVID-19 pandemic. As sensitivity analyses, we used distributed lag models to capture 1- to 2-month lag times. A point increase of 1% in negative sentiment rate toward the Asian community in the same month was associated with a 24% increase (incidence rate ratio [IRR] 1.24; 95% CI 1.07-1.44; P=.005) in the number of anti-Asian hate crimes. The association was slightly attenuated after adjusting for unemployment and COVID-19 emergence (ie, after March 2020; P=.008). The positive sentiment toward Asian tweets with a 0-month lag was associated with a 12% decrease (IRR 0.88; 95% CI 0.79-0.97; P=.002) in expected anti-Asian hate crimes in the same month, but the relationship was no longer significant after adjusting for the unemployment rate and the emergence of COVID-19 pandemic (P=.11). A higher negative sentiment level was associated with more hate crimes specifically targeting the Asian community in the same month. The findings highlight the importance of monitoring public sentiment to predict and potentially mitigate hate crimes against Asian individuals.

Unacceptable Experiences Whilst Attending University and Their Association With Student Mental Health, Well-Being and Academic Outcomes

Introduction: Unacceptable experiences (UEs) are commonly reported by undergraduate students. However, their prevalence and impact have not been rigorously studied. Objectives: To (1) estimate the prevalence of UEs, (2) identify high-risk subgroups, and (3) examine associations with mental health and academic outcomes among undergraduate students attending Queen's University. Methods: Data from the 2021/2022-2023/2024 cycles of the U-Flourish Student Well-Being Survey were collected at the beginning and completion of each academic year. Validated symptom measures included the GAD-7 (anxiety), PHQ-9 (depression), C-SSRS (suicidal thoughts and behaviours), and WEMWBS-7 (well-being). Self-reported UEs included: sexual violence or harassment, physical assault, bullying, hate crimes, and discrimination. Multivariable regression examined associations between UEs and student mental health, and grade-point average (GPA) from linked university data. Results: One-third (28.9%) of students (n=797/2,757) reported an unacceptable experience over the academic year. Sexual violence or harassment and discrimination (15%) were most frequently reported, followed by bullying/harassment (11%), hate crimes (4.6%) and physical assault (3.3%). UEs were highest in students who identified as non-binary gender (49%), 2SLGBTQIA+ sexuality (39%) or had a history of mental illness (41%). These UEs increased the risk of reporting clinically significant anxiety and depressive symptoms by 5-18% and 11-40%, respectively, and Students reporting UEs were also more likely (2-59%) to report having suicidal thoughts and behaviours over the academic year, particularly those who experienced sexual violence (RR:1.59; 95% CI:1.10-2.23). There was evidence that sexual violence, bullying, and hate crimes were associated with lower GPAs among first-year students. Conclusion: UEs are common among undergraduate students and are associated with significant negative mental health and well-being outcomes. Further research is needed to better understand the nature of these UEs and the mechanisms by which they impact student mental health and academic performance. This information is pivotal to develop evidence-informed prevention and early intervention initiatives.

Understanding community hate crimes as an incorrigible proposition: Local political attitudes, path dependence, and the ceremonious reporting of hate crime statistics

AbstractThe Hate Crime Statistics Act (HCSA) of 1990 requires the federal government to publicly release official hate crime statistics annually; the HCSA does not, however, mandate that local agencies submit hate crime reports to the government in the first place. Although research has evaluated the reporting of hate crime statistics in a dichotomous fashion (compliance vs. noncompliance), the current study suggests that the consistent and invariable reporting of zero hate crimes in a particular jurisdiction over time is unlikely and thus better conceptualized as a third response strategy: ceremonious compliance. We examine this strategy as a potentially unique institutional behavior, structured by local political and historical contexts, including discursive differences in the identification of hate crime as an important social problem, and localized histories of racial oppression. This research then uses multilevel multinomial logistic regression models to estimate variation in the likelihood of differential compliance strategies (i.e., true compliance, ceremonious compliance, noncompliance), according to several political and historical factors, including Republican vote share, location in the Confederate South, and historical lynchings. Findings reveal that political and historical contexts are important predictors of agency responses to hate crime, with a particular tendency toward ceremonious compliance in Republican‐leaning locales.

Detecting hate crimes through machine learning and natural language processing

ABSTRACT Misidentification and misreporting of hate crimes by victims and law enforcement are significant barriers to accurate data collection of hate crimes, and their consequent study and prevention. The use of machine learning in crime detection can improve the accuracy and speed at which reported incidents with bias elements are identified. This study develops a machine learning classifier that categorizes police reports as either events with bias elements or events with no bias elements. We use incident/offense reports from the Seattle Police Department to train a Natural Language Processing classification algorithm. We collect narratives, location data, and victim and suspect demographics to use as features. We evaluate the performance of logistic regression, random forest, and XGBoost algorithms, as well as several text embedding techniques. Despite substantial class imbalance, our model achieves a macro F1-score of 0.79, demonstrating the benefits of applied machine learning in accurately detecting and reporting hate crimes.

Effects of Victim Race on Police Arrests for Hate Crimes

Despite significant public concern, previous research on hate crimes has been limited and inconclusive regarding whether police discriminate against racial minority victims when clearing hate crimes through arrests. To address this gap, we analyzed the 1992–2019 data from the National Incident-Based Reporting System, measuring victim race by both the actual and targeted races in anti-race offenses. When using the latter measure, our findings reveal significant results: the arrest rate was generally higher in inter-racial cases, where offenders targeted a race different from their own, than in intra-racial cases, where they targeted the same race as their own. However, the arrest rate was lower, not higher, when white offenders committed a non-index anti-black offense than when they committed a non-index anti-white offense, which may suggest the possibility of racial discrimination in police arrests that extends beyond mere racial disparities.

When ethnic minorities hit the headlines: The longitudinal associations between news features and adolescents' ethnic prejudice.

Ethnic prejudice poses great challenges to adolescents' adjustment to multicultural societies. However, little is known about the role of the media in influencing attitudes in adolescence. Combining information environment and ecological development theories, the current study examined the longitudinal associations between the quantity, valence (i.e., neutral, positive, and negative), and target (i.e., migrant, refugee, and foreigner) of the news about ethnic minority groups and youth's affective and cognitive prejudice. In total, 962 adolescents (Mage = 15.67, 48.13% females) completed questionnaires at two time points, and news data were gathered from a national newspaper. While news quantity did not matter, positive and negative news were respectively associated with reduced and increased levels of cognitive, but not affective, prejudice. Nuanced associations emerged when accounting for the news target. Results were replicated regardless of adolescents' direct consumption of newspapers. These findings highlight the role of the information environment and suggest the need to account for it in planning interventions.

Hiding the Hate—Contextual Effects on Hate Crime Reports

This study examines the influence of local norm shifts driven by white supremacist ideology on hate crime reporting by US law enforcement agencies. Results show a substantial association, indicating a threefold increase in expected hate crimes reports in counties experiencing a spike in local hate group activity. Specifically, Republican vote share acts as a moderator, reducing reported hate crimes by 23% in counties with strong Republican support and right-wing hate group presence. Adjacent Republican counties also show a 13% reduction in expected reports, suggesting a spillover effect. Beyond local politics, a regional impact is evident; Northeastern counties with higher right-wing hate group presence show a 23% lower incidence rate. Using longitudinal data from the FBI UCR, SPLC, MIT Election Lab, and the US Census (2010–2020), through negative binomial regressions, this study highlights how right-wing hate groups can affect law enforcement’s enforcement of general civil rights depending on the local context.

Hating Women: A Constitution of Hate in Plain Sight.

In April 2023, the U.K. government announced that misogyny would not be categorized as a hate crime stating that this "may prove more harmful than helpful." This article argues that before and beyond hate crime, misogyny, understood as the hatred of women (from the Greek misein [hate] gynae [women]), is the foundational logic of our legal, social, and political order in the west. This constitution of hate relies on the active dehumanization, exploitation, and ownership of women's bodies by the institution of white men through making women the object of the "colonization of the everyday." This exhausting hatred is enacted through repetitive, unceasing, and everyday violence toward women. Simply put, patriarchal, colonial, capitalist democracy is only sustained through violence against women. Hating women is, therefore, not a pathology of society but rather is the necessary existence condition of our legal-political constitution, clear to see yet hiding in plain sight. Misogyny ensures the precarity of women's bodies and women's status as trespassers in everyday spaces that are deliberately always already misogynistic. Given the foundational nature of misogyny, did the government have a point in excluding endemic violence against women from hate crime as "more harmful than helpful?" Is hate crime merely constitutive of a cultural matrix of misogyny? This paper enacts a decolonial feminist prism to disrupt the cultural condition of misogyny by thinking hate crime together with legal-political constitutional and cultural change. The paper explores violence against women set against the historical emergence of misogyny from Greek dehumanization, to medieval persecution of "witches," the muzzling and banning of women from public spaces, Shakespeare's "Taming," to contemporary femicide rates. Interrogating hate crime through this prism offers nuanced routes for how to disrupt the legal-political constitution of misogyny that is neither hidden nor new. Misogyny is enduring.

Working "With" Not "On" Disabled People: The Role of Hate Crime Research within the Community.

For many disabled people, violence can become an unwanted, yet ordinary part of everyday life. Often, these crimes are attributed to understandings of disabled people as vulnerable and largely, passive victims. Attending to the aims of this special issue, this paper aims to dismantle these stereotypes and attend to the unique ways that disabled people can resist and respond to hate crime through creative and collaborative research practices. Building upon this, I argue that there is a pressing need for hate studies researchers to work "with" and not "on" those who have experienced targeted violence. Working in this way builds upon long-standing efforts of disabled activists and disabilities studies researchers to challenge reductive research practices by working in more collective and inclusive ways. To demonstrate this, I reflect upon a project working in partnership with disabled people to create a disability hate crime toolkit. The toolkit, now published, shares accessible and informative resources that can be used to raise awareness about disability hate crime. While the focus of this paper is disability, I consider methods of collaboration, co-production and participation that can be drawn upon by researchers to respond to hate crime and interpersonal violence more broadly.

Hidden Hate, Hidden Violence: Dismantling Myths and Identifying Fresh Challenges for Research and Policy.

Hate crime has become an increasingly familiar term within global scholarship, with advancements in conceptual understanding and empirical knowledge helping to generate improved policy responses across many parts of the world. However, the continued demonization of 'other' identities, the escalating volume of hate incidents worldwide and the prevailing climate of rising tensions, decreasing resources and political de-prioritization all suggest that many urgent challenges remain. Contributors to this special issue have dismantled common stereotypes and misperceptions which hamper our collective capacity to address contemporary expressions of hate and violence. In doing so, they draw from their research evidence to identify "hidden" challenges which should be at the forefront of attempts to address the causes, effects, and prevention of all forms of violence. This call for reconfiguration is the unifying theme which runs through each article, and which paves the way for more nuanced analyses that offer new frameworks for responding to the diverse and changing patterns of violence. These are challenges which straddle disciplinary boundaries, geographical borders, and the physical/digital world, and which demand the international, intersectional, and interdisciplinary perspectives evident within this special issue.

Beyond the Binary: The Issue of Intra-Minority Hostility and the Need to Challenge Conventional Victim/Perpetrator Frameworks Within Hate Studies.

It is well-established within the hate studies literature that the majority of hate crimes and incidents of targeted hostility are perpetrated by those in the "majority" society. In the UK, academic and official research consistently shows that young White, British males are most commonly the culprits of all forms of targeted victimization, especially racist hate. However, urban areas of "super-diversity" offer researchers an opportunity to understand hate crime victimization and perpetration in a more nuanced and comprehensive way. Hate studies research has slowly begun to highlight instances of people from marginalized and stigmatized groups being targeted on the basis of their identity by individuals who are also members of minority groups, sometimes even the same minority group as the victim. Very little is understood about this particular victimizing dynamic other than it appears to be an attempt by minority group members to "fit in" by adopting what they perceive to be majority group values and attitudes. By drawing from 44 qualitative in-depth interviews exploring the experiences of new migrants and refugees and observations from 20 months of grassroots engagement, this article challenges established theories of "othering" that overwhelmingly refer to binary, static majority/minority tensions. The stories of these too-often "hidden" victims of targeted hostility offer a fresh perspective on the relationships between victims of hate and perpetrators. The article also contributes new explanations as to why those who are often targeted go on to target others.

Narratives and counter-narratives as ways of creating religious tolerance

This article explored the utilisation of counter-narratives in tertiary education settings with regard to pseudo-events connected to big world events. The occurrence that this article focused on was the pseudo-events connected to the Israel–Hamas war that started in October 2023. These pseudo-events refer to a surge in Islamophobic and anti-Semitic hate crimes in countries outside the warzone. Two narrative examples are given that can be utilised within education settings; however, educators can look beyond the given examples and utilise other counter-narratives. Creating awareness of surges in discriminatory occurrences with the use of counter-narratives may increase humanisation and intersectional awareness in students.Intradisciplinary and/or interdisciplinary implications: This article was written from a religious studies perspective, with the aim of increasing religious tolerance within societies. This article is based on a quantitative literature review and narrative theories.

‘Doesn’t anyone care anymore?’ – Bystander intervention to hate crime

While previous studies have focused on bystander intervention, current understanding specifically in the area of bystander intervention to hate crime is limited. This study seeks to focus on bystander intervention to hate crime in the United Kingdom. This study utilised 10 semi-structure interviews with participants who had personally witnessed a hate crime incident, exploring reasons for intervention, or lack thereof. Results revealed that for some who intervened, the decision to do so often stemmed from an instinctive, impulsive place, whereas for others it was a calculative decision-making process. The findings also reveal that there are various factors which influence participants in deciding whether to intervene. Critically, while all factors were described as pivotal to influencing participants in choosing whether to intervene or remain bystanders, there was no hierarchy of factors which can be generalised. The study concludes that the decision to intervene is a complex multi-faceted process and promotes awareness-raising about the various options available when witnessing a hate crime.

Long-term trends in mental health disparities across sexual orientations in the UK: a longitudinal analysis (2010-2021).

In the context of increasing hate crimes, legislative challenges, and anti-LGBTQ + sentiment, we conducted the first study that comprehensively examined long-term mental health disparities across sexual orientations in the UK from 2010 to 2021. Prior studies predominantly relied on cross-sectional or limited longitudinal designs, thus failing to capture evolving trends over a decade and providing crucial insights into the dynamics of mental health challenges faced by sexual minorities, essential for devising targeted public health interventions and policies. Waves 2-12 of the UK Longitudinal Household Survey for adults (n = 52,591) were used. MCS-12 (Mental Health Component Scale of the Short-Form Health Survey) for mental functioning and GHQ (General Health Questionnaire) for psychological distress were included as the main outcomes, along with other measures of well-being. Mixed-effect longitudinal models were used to examine the trends of mental health disparities across sexual orientations. Relative to their heterosexual counterparts, psychological distress (GHQ) increased for gay men, lesbians, and women with "other" orientations. Bisexual women saw the steepest increase from 1.69 higher GHQ vs. their heterosexual counterparts in 2010 (95%CI: 0.81 to 2.57), up to 3.37 in 2021 (95%CI: 2.28 to 4.45). Similar trends were also shown in the other measures. The study highlights increases in mental health disparities between sexual minorities and heterosexuals. The escalating psychological distress among sexual minorities, particularly bisexual women, calls for an urgent, multi-faceted, and intersectoral response. This approach must address both symptoms and the social structures perpetuating these disparities across sexual orientations.