Alistair Fraser and Elke Van Hellemont
It has been a century since Frederic Thrasher researched his pioneering text on youth gangs in Chicago. In it he depicts gangs as a street-based phenomenon that emerged from the combined forces of urbanization, migration, and industrialization—with new migrant groups seeking to find a toehold on the American Dream. Gangs were discrete and highly localized, drawing on names from popular culture and the neighborhood, seeking ways to survive and thrive amid the disorganization of the emerging city. In the 21st century, street gangs have been identified in urban contexts all over the world and have become increasingly viewed as a transnational phenomenon that is qualitatively different from Thrasher’s neighborhood groups. Processes of globalization have created a degree of flow and connectedness to urban life that is unlike any other stage in human history. Yet a close reading of Thrasher shows that some of the key themes in the study of gangs in a global context—urban exclusion, grey economies, human mobility, and cultural flow—were presaged in Thrasher’s work. In a global era, however, these processes have intensified, amplified, and extended in ways that could not have been predicted.
We elaborate the spatial, economic, social, cultural, and technological implications of globalization for gangs across five principle areas: (1) Gangs in the Global City; (2) Gangs, Illicit Markets, and the Global Criminal Economy; (3) Mobility, Crimmigration, and the “Transnational Gang”; (4) Gangs and Glocalization; and (5) The Gang Mediascape. Taken together, these themes seek to offer both a conceptual vocabulary and empirical foundation for new and innovative studies of gangs and globalization. Empirical evidences from Europe, the United States, and beyond, emphasize the uneven impacts of globalization and the ways in which national and cultural dynamics are implicated in the study of gangs in the 21st century.
Brooke B. Chambers and Joachim J. Savelsberg
Genocide and ethnic cleansing are among the most deadly human-made catastrophes. Together with other forms of government violence, such as war crimes and crimes against humanity, the death toll they caused during the 20th century alone approximates 200 million. This is an estimated ten times higher than the number of deaths resulting from all violence committed in civil society during the same period. Yet the definition of genocide, its perception as a social problem, and the designation of responsible actors as criminals are all relatively recent. Globalization, international organizations, nongovernmental organizations, and cultural shifts are interrelated contributors to this process of redefinition.
While genocide and ethnic cleansing often appear to be unpredictable and chaotic, they nonetheless underlie a socio-logic across time and space. As the field of study evolved, scholars debated the role of authority and ideology in enabling violence. Today, consensus has shifted away from deterministic explanations about intrinsic hatred engrained in particular groups to sociological factors. They include the role of political regimes, war, organization, and narratives of ethnic hatred, each of which can play a role in facilitating violence.
Recent developments also include the creation of new institutional mechanisms that seek to punish perpetrators and prevent the occurrence of genocide and ethnic cleansing. Among them are criminal justice responses that work potentially through deterrence, but also—more fundamentally—through the initiation of cultural change. Prosecutions, as well as supplemental mechanisms such as truth commissions, may indeed lead to a radical shift in the perception of mass violence and those responsible for it, thereby delegitimizing genocidal and ethnic cleansing campaigns.
Mahesh K. Nalla, Gregory J. Howard, and Graeme R. Newman
One common claim about crime is that it is driven in particular ways by development. Whereas the classic civilization thesis asserts that development will yield declining crime rates, the conflict tradition in criminology as well as the modernization school expect rises in crime rates, although for different reasons. Notwithstanding a raft of empirical investigations into the matter, an association between development and crime has not been consistently demonstrated. The puzzling results in the literature may be owing to the challenges in conceptualizing and operationalizing development. They are also almost certainly attributable to the serious problems related to the cross-national measurement of crime. Given the current state of knowledge and the prospects for future research, evidence reportedly bearing on the development and crime relationship should be received with ample caution and skepticism. Refinements in measurement practices and research strategies may remedy the extant situation, but for now the relationship between development and crime is an open and complicated question.
In the context of crime, victimization, and immigration in the United States, research shows that people are afraid of immigrants because they think immigrants are a threat to their safety and engage in many violent and property crimes. However, quantitative research has consistently shown that being foreign born is negatively associated with crime overall and is not significantly associated with committing either violent or property crime. If an undocumented immigrant is arrested for a criminal offense, it tends to be for a misdemeanor. Researchers suggest that undocumented immigrants may be less likely to engage in serious criminal offending behavior because they seek to earn money and not to draw attention to themselves. Additionally, immigrants who have access to social services are less likely to engage in crime than those who live in communities where such access is not available. Some emerging research has shown that communities with concentrated immigrant populations have less crime because these communities become revitalized. In regard to victimization, foreign-born victims of crime may not report their victimization because of fears that they will experience negative consequences if they contact the police or seek to avoid legal mechanisms to resolve disputes. Recently, concern about immigration and victimization has turned to refugees who are at risk of harm from traffickers, who warehouse them, threaten them, and abuse them physically with impunity. More research is needed on the relationship among immigration, offending, and victimization. The United States and other nations that focus on border security may be misplacing their efforts during global crises that result in forced migrations. Poverty and war, among other social conditions that would encourage a person to leave their homeland in search of a better life, should be addressed by governments when enforcing immigration laws and policy.
As the most serious crime, homicide is both relevant and suitable for cross-national comparisons. The global homicide rate of ca. 6 per 100,000 people is an average of hugely diverging national rates ranging from 0.25 in Singapore to ca. 100 in El Salvador. The validity of global homicide statistics suffers from various differences in definitions as well as reporting and registration processes. Both criminal justice and causes of death statistics are used by the World Health Organization to construct rates, yet these are available only for a minority of countries. An overview on homicide in history and non-state societies shows that violence levels were considerably higher compared to those in today’s developed world and have dropped dramatically in Europe and North America during the early modern period. The rates first increased and then declined between ca.1960 and today in most developed nations in a synchronized manner, hinting at common influences. In recent years, homicide trends have shown a polarizing pattern, with increasing rates in Latin America and decreasing rates in most other world regions, especially East Asia and the Pacific, where rates have fallen below the European average concurrent with rising scores on the Human Development Index. Except in Eastern Europe, the frequency of homicide is strongly linked to the use of firearms, which account for 44% of homicide cases worldwide.
Longitudinal studies have produced robust evidence for the pivotal role of deprivation and inequality in fostering lethal violence and of social welfare policies in reducing it. Although the transition to democratic political systems seems to increase homicide rates temporarily, the legitimacy of state institutions and the suppression of corruption are connected to lower homicide rates. Because of conceptual and methodological problems, questions concerning the generalizability of effects across space and time remain. Nevertheless, the research findings are sufficiently robust to draw important conclusions for violence prevention: reductions in poverty and income inequality, investments in welfare policies and gender equality, and improvements in the legitimacy of state institutions will help to bring homicide rates down.
Jonathan Grossman and Ami Pedahzur
Since 2001, unprecedented resources have been invested in research into global terrorism, resulting in a dramatic rise in the number of academic publications on the topic. Works by scholars from predominantly quantitative disciplines predominate in this literature, and the unfolding development of data science and big data research has accentuated the trend. Many researchers in global terrorism created event databases, in which every row represents a distinct terrorist attack and every column a variable (e.g., the date and location of the attack, the number of casualties, etc.). Such event data are usually extracted from news sources and undergo a process of coding—the translation of unstructured text into numerical or categorical values. Some researchers collect and code their data manually; others use an automated script, or combine the efforts of humans and software. Other researchers who use event data do not collect and process their data at all; rather, they analyze other scholars’ databases. Academics and practitioners have relied on such databases for the cross-regional study of terrorism, analyzing their data statistically in an attempt to identify trends, build theories, predict future incidents, and formulate policies.
Unfortunately, event data on terrorism often suffer from substantial issues of accuracy and reproducibility. A comparison between the data on suicide terrorism in Israel and the occupied Palestinian territories in two of the most prominent databases in the field and an independent database of confirmed events reveals the magnitude of these problems. Among the most common pitfalls for event data are replication problems (the sources that the databases cite, if there are any at all, cannot be retrieved), selection bias (events that should have been included in the database are not in it), description bias (the details of events in the database are incorrect), and coding problems (for example, duplicate events). Some of these problems originate in the press sources that are used to create the databases, usually English-language newspaper articles, and others are attributable to deficient data-gathering and/or coding practices on the part of database creators and coders. In many cases, these researchers do not understand the local contexts, languages, histories, and cultures of the regions they study. Further, many coders are not trained in qualitative methods and are thus incapable of critically reading and accurately coding their unstructured sources. Overcoming these challenges will require a change of attitude: truly accurate and impactful cross-regional data on terrorism can only be achieved through collaboration across projects, disciplines, and fields of expertise. The creators of event databases are encouraged to adopt the high standards of transparency, replicability, data-sharing, and version control that are prevalent in the STEM sciences and among software developers. More than anything, they need to acknowledge that without good and rigorous qualitative work during the stage of data collection, there can be no good quantitative work during the stage of data analysis.