Measuring Changes in Bias-Motivated Attacks: Evidence from Anti-Asian Violence During the COVID-19 Pandemic*

Hate crimes are notoriously difficult to measure. We propose a way to measure changes in group-specific exposure to violence using data on crimes that are <i>potentially</i> bias-motivated. We use this approach to study whether anti-Asian violence rose in the United States during the earliest phase of the COVID-19 pandemic. Using data from the FBI’s National Incident-Based Reporting System on inter-race public violence, we find that while public violence declined among all Americans after March 2020, the share of public violence directed at Asian-Americans by people who were previously unknown to them—or were acquaintances—rose more than it did for other Americans. While this relationship did not hold among an auxiliary sample of large US cities, the national evidence is consistent with a modest increase in bias-motivated violence directed towards Asian-Americans. Beyond these specific results, our research offers an approach to studying potentially bias-motivated crimes that relies less urgently on hate crimes data.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28908698
Primary Topic
Pasture and Agricultural Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring Changes in Bias-Motivated Attacks: Evidence from Anti-Asian Violence During the COVID-19 Pandemic*

Figshare
Pasture and Agricultural Systems
article

Measuring Changes in Bias-Motivated Attacks: Evidence from Anti-Asian Violence During the COVID-19 Pandemic*

article en

Abstract

Hate crimes are notoriously difficult to measure. We propose a way to measure changes in group-specific exposure to violence using data on crimes that are <i>potentially</i> bias-motivated. We use this approach to study whether anti-Asian violence rose in the United States during the earliest phase of the COVID-19 pandemic. Using data from the FBI’s National Incident-Based Reporting System on inter-race public violence, we find that while public violence declined among all Americans after March 2020, the share of public violence directed at Asian-Americans by people who were previously unknown to them—or were acquaintances—rose more than it did for other Americans. While this relationship did not hold among an auxiliary sample of large US cities, the national evidence is consistent with a modest increase in bias-motivated violence directed towards Asian-Americans. Beyond these specific results, our research offers an approach to studying potentially bias-motivated crimes that relies less urgently on hate crimes data.

Figshare
Openalex Percentile: Top 50%
Pasture and Agricultural Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Measuring Changes in Bias-Motivated Attacks: Evidence from Anti-Asian Violence During the COVID-19 Pandemic* · Figshare (2025) | TGRS Research Map | TGRS