Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Mapping the scientific knowledge and approaches to defining and measuring hate crime, hate speech, and hate incidents: A systematic review

View through CrossRef
Abstract Background The difficulties in defining hate crime, hate incidents and hate speech, and in finding a common conceptual basis constitute a key barrier toward operationalisation in research, policy and programming. Definitions disagree about issues such as the identities that should be protected, the types of behaviours that should be referred to as hateful, and how the ‘hate element’ should be assessed. The lack of solid conceptual foundations is reflected in the absence of sound data. These issues have been raised since the early 1990s (Berk, 1990; Byers & Venturelli, 1994) but they proved to be an intractable problem that continues to affect this research and policy domain. Objectives Our systematic review has two objectives that are fundamentally connected: mapping (1) original definitions and (2) original measurement tools of hate crime, hate speech, hate incidents and surrogate terms, that is, alternative terms used for these concepts (e.g., prejudice‐motivated crime, bias crime, among many others). Search Methods We systematically searched over 19 databases to retrieve academic and grey literature, as well as legislation. In addition, we contacted 26 country experts and searched 211 websites, as well as bibliographies of published reviews of related literature, and scrutiny of annotated bibliographies of related literature. Inclusion Criteria This review included documents published after 1990 found in academic literature, grey literature and legislation. We included academic empirical articles with any study design, as well as theoretical articles that focused specifically on defining hate crime, hate speech, hate incidents or surrogate terms. We also reviewed current criminal or civil legislation that is intended to regulate forms of hate speech, hate incidents and hate crimes. Eligible countries included Canada, USA, UK, Ireland, Germany, France, Italy, Spain, Australia and New Zealand. For documents to be included in relation to research objective (1), they had to contain at least one original definition of hate speech, hate incidents or hate crimes, or any surrogate term. For documents to be included in relation to research objective (2), they had to contain at least one original measurement tool of hate speech, hate incidents or hate crimes, or any surrogate term. Documents could be included in relation to both research objectives. Data Collection and Analysis The systematic search covered 1 January 1990 to 31 December 2021, with searches of academic databases conducted between 8th March and 12th April 2022 yielding 35,191 references. We carried out country‐specific searches for grey literature published in the same time period between 27th August and 2nd December 2021. These searches yielded a total of 2748 results. We coded characteristics of the definitions and measurement tools, including the protected characteristics, the approaches to categorise the ‘hate element’ and other variables. We used univariate and bivariate statistical methods for data analysis. We also carried out a social network analysis. Main Results We provide as annex complete lists of the original definitions and measurement tools that met our inclusion criteria, for the use of researchers and policy makers worldwide. We included 423 definitions and 168 measurement tools in academic and grey literature, and 83 definitions found in legislation. To support future research and policy work in this area, we included a synthetic assessment of the (1) the operationalisability of each definition and (2) the theoretical robustness and transparency of each measurement tool. Our mapping of the definitions and measurement tools revealed numerous significant trends, clusters and differences between and within definitions and measurement tools focusing on hate crime, hate speech and hate incidents. For example, definitions and measurement tools tend to focus more on ethnic and religious identities (e.g., racism, antisemitism, Islamophobia) compared to sexual, gender and disability‐related identities. This gap is greater in the definitions and measurement tools of hate speech than hate crime. Our analysis showed geographical patterns: hate crime definitions and measurement tools are more likely to originate from Anglophonic countries, especially the USA, but hate speech definitions and measurement tools are more likely to originate from continental Europe. In terms of disciplinary fragmentation, our social network analysis revealed that the collaboration and exchange of conceptual frameworks and methodological tools between social sciences and computer science is limited, with most definitions and measurement tools clustering along disciplinary lines. More detailed findings are presented in the results section of the report. Authors' Conclusions There is an urgent need to close the research and policy gap between the protections of ‘ethnic and religious identities’ and other (less) protected characteristics such as gender and sexual identities, age and disability. There is also an urgent need to improve the quality of methodological and reporting standards in research examining hate behaviours, including transparency in methodology and data reporting, and discussion of limitations (e.g., bias in data). Many of the measurement tools found in the academic literature were excluded because they did not report transparently how they collected and analysed the data. Further, 41% of documents presenting research on hate behaviours did not provide a definition of what they were looking at. Given the importance of this policy domain, it is vital to raise the quality and trustworthiness of research in this area. This review found that researchers in different disciplinary areas (e.g., social sciences and computer science) rarely collaborate. Future research should attempt to build on existing definitions and measurement tools (instead of duplicating efforts), and engage in more interdisciplinary collaborations. It is our hope that that this review can provide a solid foundation for researchers, government, and other bodies to build cumulative knowledge and collaboration in this important field.
Title: Mapping the scientific knowledge and approaches to defining and measuring hate crime, hate speech, and hate incidents: A systematic review
Description:
Abstract Background The difficulties in defining hate crime, hate incidents and hate speech, and in finding a common conceptual basis constitute a key barrier toward operationalisation in research, policy and programming.
Definitions disagree about issues such as the identities that should be protected, the types of behaviours that should be referred to as hateful, and how the ‘hate element’ should be assessed.
The lack of solid conceptual foundations is reflected in the absence of sound data.
These issues have been raised since the early 1990s (Berk, 1990; Byers & Venturelli, 1994) but they proved to be an intractable problem that continues to affect this research and policy domain.
Objectives Our systematic review has two objectives that are fundamentally connected: mapping (1) original definitions and (2) original measurement tools of hate crime, hate speech, hate incidents and surrogate terms, that is, alternative terms used for these concepts (e.
g.
, prejudice‐motivated crime, bias crime, among many others).
Search Methods We systematically searched over 19 databases to retrieve academic and grey literature, as well as legislation.
In addition, we contacted 26 country experts and searched 211 websites, as well as bibliographies of published reviews of related literature, and scrutiny of annotated bibliographies of related literature.
Inclusion Criteria This review included documents published after 1990 found in academic literature, grey literature and legislation.
We included academic empirical articles with any study design, as well as theoretical articles that focused specifically on defining hate crime, hate speech, hate incidents or surrogate terms.
We also reviewed current criminal or civil legislation that is intended to regulate forms of hate speech, hate incidents and hate crimes.
Eligible countries included Canada, USA, UK, Ireland, Germany, France, Italy, Spain, Australia and New Zealand.
For documents to be included in relation to research objective (1), they had to contain at least one original definition of hate speech, hate incidents or hate crimes, or any surrogate term.
For documents to be included in relation to research objective (2), they had to contain at least one original measurement tool of hate speech, hate incidents or hate crimes, or any surrogate term.
Documents could be included in relation to both research objectives.
Data Collection and Analysis The systematic search covered 1 January 1990 to 31 December 2021, with searches of academic databases conducted between 8th March and 12th April 2022 yielding 35,191 references.
We carried out country‐specific searches for grey literature published in the same time period between 27th August and 2nd December 2021.
These searches yielded a total of 2748 results.
We coded characteristics of the definitions and measurement tools, including the protected characteristics, the approaches to categorise the ‘hate element’ and other variables.
We used univariate and bivariate statistical methods for data analysis.
We also carried out a social network analysis.
Main Results We provide as annex complete lists of the original definitions and measurement tools that met our inclusion criteria, for the use of researchers and policy makers worldwide.
We included 423 definitions and 168 measurement tools in academic and grey literature, and 83 definitions found in legislation.
To support future research and policy work in this area, we included a synthetic assessment of the (1) the operationalisability of each definition and (2) the theoretical robustness and transparency of each measurement tool.
Our mapping of the definitions and measurement tools revealed numerous significant trends, clusters and differences between and within definitions and measurement tools focusing on hate crime, hate speech and hate incidents.
For example, definitions and measurement tools tend to focus more on ethnic and religious identities (e.
g.
, racism, antisemitism, Islamophobia) compared to sexual, gender and disability‐related identities.
This gap is greater in the definitions and measurement tools of hate speech than hate crime.
Our analysis showed geographical patterns: hate crime definitions and measurement tools are more likely to originate from Anglophonic countries, especially the USA, but hate speech definitions and measurement tools are more likely to originate from continental Europe.
In terms of disciplinary fragmentation, our social network analysis revealed that the collaboration and exchange of conceptual frameworks and methodological tools between social sciences and computer science is limited, with most definitions and measurement tools clustering along disciplinary lines.
More detailed findings are presented in the results section of the report.
Authors' Conclusions There is an urgent need to close the research and policy gap between the protections of ‘ethnic and religious identities’ and other (less) protected characteristics such as gender and sexual identities, age and disability.
There is also an urgent need to improve the quality of methodological and reporting standards in research examining hate behaviours, including transparency in methodology and data reporting, and discussion of limitations (e.
g.
, bias in data).
Many of the measurement tools found in the academic literature were excluded because they did not report transparently how they collected and analysed the data.
Further, 41% of documents presenting research on hate behaviours did not provide a definition of what they were looking at.
Given the importance of this policy domain, it is vital to raise the quality and trustworthiness of research in this area.
This review found that researchers in different disciplinary areas (e.
g.
, social sciences and computer science) rarely collaborate.
Future research should attempt to build on existing definitions and measurement tools (instead of duplicating efforts), and engage in more interdisciplinary collaborations.
It is our hope that that this review can provide a solid foundation for researchers, government, and other bodies to build cumulative knowledge and collaboration in this important field.

Related Results

From Hate Crime to Disability Hate Crime
From Hate Crime to Disability Hate Crime
This chapter traces the journey from hate crime to Disability Hate Crime through an analysis of the relevant literature including policy related documents which construct and refer...
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Abstract The Physical Activity Guidelines for Americans (Guidelines) advises older adults to be as active as possible. Yet, despite the well documented benefits of physical a...
Vihapuheen kohteet ja teemat sekä lajit ja muodot ennen ja nyt
Vihapuheen kohteet ja teemat sekä lajit ja muodot ennen ja nyt
Tässä artikkelissa on analysoitu vihapuheen olemusta ja puhunnan muotoja 1930- ja 2000-luvuilla. Tavoitteena on ollut etsiä niitä yhtäläisyyksiä ja eroja, joita kahdella eri aikaka...
Forensic Linguistics of Hate Speech on Social Media against President Joko Widodo by Chairman of UGM’s Student Executive Board
Forensic Linguistics of Hate Speech on Social Media against President Joko Widodo by Chairman of UGM’s Student Executive Board
This research discusses the hate speech delivered by the chairman of BEM UGM against President Joko Widodo, uploaded on social media. This research uses a forensic linguistic appro...
Hate Speech Detection Using Textual and User Features
Hate Speech Detection Using Textual and User Features
Social media platforms provide users with a powerful platform to share their ideas. Using one’s right to expression to incite hatred toward a particular group of people ...
Cash‐based approaches in humanitarian emergencies: a systematic review
Cash‐based approaches in humanitarian emergencies: a systematic review
This Campbell systematic review examines the effectiveness, efficiency and implementation of cash transfers in humanitarian settings. The review summarises evidence from five studi...
Do evidence summaries increase health policy‐makers' use of evidence from systematic reviews? A systematic review
Do evidence summaries increase health policy‐makers' use of evidence from systematic reviews? A systematic review
This review summarizes the evidence from six randomized controlled trials that judged the effectiveness of systematic review summaries on policymakers' decision making, or the most...
Bilingual Hate Speech Detection on Social Media : Amharic and Afaan Oromo
Bilingual Hate Speech Detection on Social Media : Amharic and Afaan Oromo
Abstract Due to significant increases in internet penetration and the development of smartphone technology during the preceding couple of decades, many people have started ...

Back to Top