Join our “Algorithms of Oppression” virtual book club this summer

Three ways search engines can reinforce racism, and that's just the beginning

Search: “a place where Black women are free of digital racism” image credit: Shutterstock  

By prioritizing profit and perpetuating harmful stereotypes, search platforms shape our reality more and more in ways we understand every day. In her groundbreaking work, “Algorithms of Oppression: How Search Engines Reinforce Racism,” Dr. Safiya Umoja Noble reveals how the digital tools we rely on daily often mirror and amplify systemic societal biases. Here are three ways search engines reinforce racism. 

1. Search “Black girls” receive results “angry” “big booty” or worse  As highlighted in Noble’s work, search engine results often reflect and amplify derogatory tropes. Research has shown search queries for "Black girls" have historically returned sexualized or stereotypical content, while similar searches for other demographics returned neutral or positive results. This creates a digital environment that degrades Black womanhood and shapes public perception through a distorted, biased lens.  

   
   

2. Facial recognition errors lead to misidentifications and even wrongful arrests   Facial recognition technology has repeatedly demonstrated higher error rates for women with darker skin, sometimes misidentifying them at rates as high as 35% compared to less than 1% for lighter-skinned men. For Black women, this inaccuracy can lead to serious real-world consequences, including wrongful police suspicion or harassment in public and private spaces.

3. AI hiring tools mimic human biases against women and people of color  If a company trains an AI on resumes from a decade of hiring mostly white men, the algorithm learns to penalize resumes containing keywords associated with diversity or mention of Historically Black Colleges and Universities.  

   
   

And that’s just scratching the surface. Lighthouse public scholar, Dr. Charity Clay will lead us in a series of discussions that move beyond the search bar. 

Whether you are a tech enthusiast, a student, or simply a concerned Black woman, this space is designed for critical reflection and collaborative learning. Together, we will examine how algorithmic discrimination functions and — more importantly — discuss how we can advocate for a more equitable digital future.

Participation is free, but space is limited. Secure your spot to engage with these essential ideas in a supportive, intellectually rigorous community. Click here to sign up.