By Ingri Bøe Buer

This article reconsiders peace and security from the perspectives of community leaders, educators and activists in favelas in Rio de Janeiro, Brazil, in 2019–2020. Through a critical lens, it argues that the urban violence in Rio de Janeiro resembles a form of new wars where the state is a major producer of insecurity. It questions the meaning of peace and top-down pacification processes in a city where the favelas, since their origin, have been considered dangerous areas needing to be pacified and controlled. The article introduces favela peace formation as a concept to describe alternative processes working to reduce the inter-sectional forms of violence in these communities: non-violent, locally legitimate peace processes working to slowly construct a positive, sustainable peace. To conclude, it discusses how favela peace formation presents a way of imagining peace as ‘care’ instead of ‘order’ in response to the state’s violent peace as ‘control’

Peacebuilding, DOI: 10.1080/21647259.2024.2354083

By Gaurav Verma, Rynaa Grover, Jiawei Zhou, Binny Mathew, Jordan Kraemer, Munmun De Choudhury, Srijan Kumar

Violence-provoking speech -- speech that implicitly or explicitly promotes violence against the members of the targeted community, contributed to a massive surge in anti-Asian crimes during the pandemic. While previous works have characterized and built tools for detecting other forms of harmful speech, like fear speech and hate speech, our work takes a community-centric approach to studying anti-Asian violence-provoking speech. Using data from ~420k Twitter posts spanning a 3-year duration (January 1, 2020 to February 1, 2023), we develop a codebook to characterize anti-Asian violence-provoking speech and collect a community-crowdsourced dataset to facilitate its large-scale detection using state-of-the-art classifiers. We contrast the capabilities of natural language processing classifiers, ranging from BERT-based to LLM-based classifiers, in detecting violence-provoking speech with their capabilities to detect anti-Asian hateful speech. In contrast to prior work that has demonstrated the effectiveness of such classifiers in detecting hateful speech (F1=0.89), our work shows that accurate and reliable detection of violence-provoking speech is a challenging task (F1=0.69). We discuss the implications of our findings, particularly the need for proactive interventions to support Asian communities during public health crises.

2024

By Raul Zepeda Gil

One of the main inquiry topics within crime and conflict studies is how inequalities or poverty fosters or deters participation in organized violence. Since the late 1990s, the increase in violence in Latin America has boosted the use of Global North criminology and conflict studies to explain this phenomenon. Although helpful, the question about the link between inequality and violence remains elusive. Instead, this research uses occupational mobility and life course approaches to analyze the latest Mexican inmate survey data. With this data, we can understand the factors behind youth recruitment into violent criminal organizations during the current drug war. The main findings point to youth transitions from school and low-skilled manual employment towards criminal violent activities as an option out of work precariousness. This research proposes researching transitions to organized violence as an occupational choice in market economies and post-conflict settlements as a possible causal mechanism that explains inequalities and violence.

   Journal of Illicit Economies and Development, 6(1): pp. 1–15, 2024