The New Jim Code
Algorithmic Culture
Real-World Examples
Discovery vs. Recommendation
Key Terms & Concepts
100

What does Ruha Benjamin mean by the "New Jim Code"?

Tech that looks neutral but reinforces racial bias.

100

What is “algorithmic culture”?

When algorithms shape what we see, hear, and consume.

100

What app was found to suppress content from Black, LGBTQ+, and disabled users?

Tik Tok

100

What’s the main difference between discovering something and having it recommended?

Discovery feels personal; recommendations are system-driven

100

What does “bias in data” mean?

When data reflects existing inequalities or stereotypes.

200

What kind of data is often used in biased algorithmic systems?

Names, zip codes, arrest records, or spending history

200

According to Beer, what do recommendation systems actually do?

Shape our preferences over time.

200

How does Netflix’s homepage influence your choices?

It’s personalized and limits what you see based on past behaviour

200

Why might self-discovery lead to more diverse interests?

You explore outside what algorithms think you want.

200

What’s a filter bubble?

An online environment where you're only exposed to content that reinforces your existing views.

300

What is a “tech fix,” according to Benjamin?

Using technology to fix social problems without addressing root causes

300

Why is algorithmic power considered “invisible”?

Because people don’t realize they’re being influenced

300

What’s a risk of Spotify’s recommendation algorithm?

It narrows your music taste and keeps you in a loop.

300

What’s a downside of relying only on recommendations?

You get stuck in a filter bubble.

300

What is "digital denial"?

Ignoring systemic racism because it’s hidden in technology.

400

What’s an example of digital denial?

Believing a biased algorithm is fair because it's coded

400

What is a feedback loop in this context?

You engage with something → the system recommends more of it → your taste is shaped

400

Why do platforms use algorithms that prioritize engagement?

Because it increases profit and time spent on the platform.

400

How do recommendations limit agency?

They make choices for you without you realizing it.

400

What are “generative rules”?

Rules that don’t just regulate:they produce social norms (Beer’s term).

500

How does Benjamin connect predictive policing to the New Jim Code?

It uses racist historical data to target marginalized communities under the appearance of objectivity

500

What does Beer say happens to smaller or niche creators in algorithmic systems?

They get pushed out or made invisible.

500

What did Latanya Sweeney’s study about Google ads show?

Black-sounding names got more ads for arrest records.

500

Can recommended content still be meaningful? Why or why not?

Yes, but it might reflect the system’s goals more than your own.

500

What does it mean to say algorithms have cultural power?

They shape what gets seen, heard, or becomes popular; influencing culture itself