# The Gun Violence Database

arXiv: https://arxiv.org/abs/1610.01670 · HTML: https://mlsanity.com/paper/1610.01670/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Oct 2016.

## Built on by (most cited first, 1 of 1)

- [Into the crossfire: evaluating the use of a language model to crowdsource gun violence reports](https://mlsanity.com/paper/2401.12989/) (2024)

## Abstract (arXiv)

We describe the Gun Violence Database (GVDB), a large and growing database of gun violence incidents in the United States. The GVDB is built from the detailed information found in local news reports about gun violence, and is constructed via a large-scale crowdsourced annotation effort through our web site, http://gun-violence.org/. We argue that centralized and publicly available data about gun violence can facilitate scientific, fact-based discussion about a topic that is often dominated by politics and emotion. We describe our efforts to automate the construction of the database using state-of-the-art natural language processing (NLP) technologies, eventually enabling a fully-automated, highly-scalable resource for research on this important public health problem.