Statistics: Systemic Racism in Digital Spaces

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Systemic racism in digital spaces manifests through biased algorithms, unequal access to technology, and exposure to online discrimination. Statistical data provides a clear picture of these racial disparities. 

How our data encodes systematic racism

Corrupt data

In a research paper titled “Dirty Data, Bad Predictions,” describes an alarming scenario: police precincts suspected or confirmed to have engaged in “corrupt, racially biased, or otherwise illegal” practices continue to contribute their data to the development of new automated systems meant to help officers make policing decisions. source

Algorithmic bias

Algorithms, which power everything from hiring software to social media feeds, are often trained on biased historical data, causing them to reinforce or amplify existing social inequities. source

• Hiring software: In an October 2024 study, researchers found that AI used to rank resumes preferred white-associated names 85% of the time, versus 9% of the time for Black-associated names. source

  
  

• Facial recognition: A 2018 study found that commercial gender classification systems were highly inaccurate for darker-skinned women, with error rates up to 34.7%, compared to less than 1% for lighter-skinned men.

  
  

• Healthcare: An AI algorithm used to manage patient care identified fewer than half the number of Black patients who needed care as white patients. This was due to the algorithm prioritizing historical healthcare costs over actual health needs, a proxy that reflects systemic bias in spending.

  
  

• Predictive policing: In a 2016 investigation, the risk assessment algorithm COMPAS was found to be 77% more likely to predict that Black defendants would commit another crime than white defendants, even though the scores were often wrong

  
  

• Social media content moderation: A 2024 study found that some algorithms were 1.5 times more likely to flag posts from Black users for review and 2.2 times more likely to identify content as hate speech if written in African American English. 

  
  

Unequal access and infrastructure

The digital divide—the gap in access to high-speed internet and computing devices—disproportionately affects minority and lower-income communities, limiting their ability to fully participate in the digital world. source

• Broadband access: In 2021, 80% of white adults in the U.S. had broadband access at home, compared to just 71% of Black adults and 65% of Hispanic adults.

  
  

• Digital redlining: A 2022 investigation found that major internet service providers like AT&T and Verizon disproportionately offered slower, more expensive internet service to lower-income and less-white neighborhoods.

  
  

• Relying on mobile: Hispanic and Black adults are more likely than white adults to be "smartphone-only" internet users, meaning they lack traditional home broadband service.

  
  

• Geographic disparities: In 2021, after controlling for income, access to broadband in majority-Black and Hispanic neighborhoods was still 10–15% lower than in majority-white or Asian neighborhoods. source

Online racial discrimination and hate speech

Racial and ethnic minorities are exposed to significantly higher levels of online harassment, which can negatively impact their mental health.

• Online discrimination: In one longitudinal study of adolescents, 58% of racial-ethnic minority youth reported experiencing at least one direct discriminatory incident online over a three-year period, while 68% experienced or witnessed vicarious online discrimination.

  
  

• Mental health impacts: A study tracking adolescents in 2020 found that Black youth experienced significantly more online racial discrimination and, consequently, increased depressive symptoms, anxiety, and stress. The same effects were not observed in white youth.

  
  

• Increased harassment: In a 2021 survey, 59% of African Americans reported experiencing online harassment based on their race, a sharp increase from 42% the previous year.

  
  

• Hate incidents: A December 2022 study found that the majority of participants from marginalized racial and ethnic groups had experienced at least one hate incident online. source

  
  

Underrepresentation in the tech industry

The lack of diversity in the tech workforce, particularly in leadership roles, contributes to systemic bias in digital products and services.

• Workforce demographics: As of 2023, white employees make up 63% of the U.S. tech sector, compared to 8% Hispanic/Latino and 7% Black.

  
  

• Leadership gap: In tech, 83.3% of executives are white, while only 2% are African American and 5% are Latino.

  
  

• Workplace discrimination: A 2022 Dice report revealed that 24% of tech professionals experienced direct racial discrimination in the workplace. This figure was particularly high for Black tech professionals, with 53% reporting frequent racial inequality at work. source

Read also: Emerging digital technologies entrench racial inequality, UN expert warns, Why Social-Media is a Source of Strength for Black Americans, The Sociology of Race and Racism in the Digital Society,