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.
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.
Christian L. Bolden and Reneé Lamphere
Social networks in gangs refers to both a theoretical and methodological framework. Research within this perspective challenges the idea of gangs as organized hierarchies, suggesting instead that gangs are semi-structured or loosely knit networks and that actions are more accurately related to network subgroupings than to gangs as a whole. The situated location of individuals within a network creates social capital and the fluidity for members to move beyond the boundaries of the group, cooperating and positively interacting with members of rival gangs. Before the millennium, the use of social network analysis as a method to study gangs was rare, but it has since increased in popularity, becoming a regular part of the gang research canon. Gang networks can be studied at the group level and the individual level and can be used for intervention strategies. The concept of gangs as social networks is sometimes confused with social networking sites or social media, which encompasses its own rich and evolving array of gang research. Gang members use social networking sites for instrumental, expressive, and consumer purposes. While the use of network media allows for gang cultural dissemination, it simultaneously allows law enforcement to track gang activity.