Take Action in the fight against hate
Below are ways to take action in the fight against hate.
Report Hate
The majority of hate incidents are never reported. However, hate incident data and stories are essential to better understand the magnitude of anti-Asian hate. We encourage you to share your story on community trackers to help community leaders and organizations monitor hate and support efforts for the Asian American community by raising awareness, educating the public, strengthening advocacy efforts for hate crime response, and empowering more voices to be heard. People who report are connected to resources, such as mental health support, victims assistance, and legal avenues, as needed.
Thanks to the thousands of people who have reported their experiences, we now have a better representation of the scope and effects of anti-Asian hate.
Bystander Intervention
Bystander intervention training is one way an individual can learn to effectively and safely intervene when someone is experiencing anti-Asian or xenophobic harassment. It is intended to prevent verbal harassment from escalating into physical violence and offers everyday people the chance to assist victims and play a role in keeping their communities safe.
Learn more about Bystander Intervention and find a date and time for an online or in person training with one of our organizations:
Bystander Intervention Training with Advancing Justice Southern California Bystander Intervention Training with Advancing Justice AAJCExplore, Share, and Grow our Community Resources
We have curated community resources to connect individuals to Asian American and Pacific Islander-serving organizations across the country. Organizations listed on our searchable directory offer a geographically and linguistically diverse, and culturally sensitive list that provide low or no cost direct services.
Our collection of organizations provide services, including:
- Legal assistance
- Mental health services
- Civic engagement
- Policy advocacy
- Social services (i.e., basic needs, language assistance, victims services, etc.)
We are continually looking to grow and add organizations that fit the criteria of AAPI-serving direct service organizations. If you are a part of or know of one of these organizations, please fill out the form to suggest an organization.
Contribute a ResourceMake Your Voice Heard
Data Disaggregation
The U.S. has a long history of grouping communities together, leading to the erasure of ethnic and cultural identities. In many datasets, Asian American and Pacific Islander race groups are combined into one group; and in others, they are combined with additional race groups under an umbrella category of “other”.
Aggregated data mask significant disparities across subgroups within the AAPI community. Disaggregated data are necessary to dispel the racist “model minority myth” so that resources and policies can be invested to address unmet community needs. The “model minority myth” additionally perpetuates racist practices to use Asian Americans as a wedge between Asians and other communities of color.
Advocates have been pushing for data disaggregation for years, but the fight for more disaggregated data continues.
Hate Crime Reporting and Data Collection Policy
Hate crimes are subject to local law enforcement jurisdictions reporting their data to the FBI. However, states differ on their hate crime and data collection requirements. If data collection methods and requirements are not standardized across states and jurisdictions, then it is inevitable that the data are inaccurate. When states like Arkansas do not have a hate crime law and other states like Kansas do not require hate crime data collection, the data reported are seriously limited and provide an inaccurate picture of the hate crimes that actually occur. In the absence of hate crime laws and additionally, discrepancies in how hate crimes are defined and how data are collected, it becomes more challenging to allocate resources to prevent hate crimes from occurring, and difficult to allocate resources for victims when they occur.
To advocate for bills promoting data disaggregation and more standardized data collection methods and resources,