Harris Explained Social Media Algorithmic Targeting
The 2024 Democratic presidential nominee used a flower-based analogy to illustrate how platforms deliver user-specific content.
Updated on Sept. 26, 2026 in Artificial Intelligence

Live Poll
Do you believe social media algorithms manipulate the information you see online?
During an appearance on Off Air with Big Boy, Kamala Harris described the mechanism of social media algorithms. She utilized yellow and pink flowers to demonstrate how digital platforms determine user interest through initial engagement.
Why it matters
The explanation follows Harris's established history leading artificial intelligence policy during the Biden administration. Her comments come as she pushes for national and international frameworks to regulate how platforms influence information consumption.
The explanation identifies how algorithms automate content delivery by tracking engagement signals to refine user targeting. This feedback loop ensures that users are consistently presented with material similar to their initial selection.
The players
Kamala Harris
The 2024 Democratic presidential nominee who previously led artificial intelligence initiatives for the Biden administration.
Donald Trump
The President of the United States who has been urged by Harris to pursue international agreements on dangerous AI uses.
The details
Harris described the process where social media platforms function as filter mechanisms that sort and serve information based on observed behavior. By using an analogy of yellow and pink flowers, she illustrated how systems identify a user's initial interaction and subsequently prioritize similar content to maintain engagement.
Timeline
In 2023, Harris spoke about artificial intelligence as vice president.
In September 2026, Harris called on President Trump to pursue AI agreements.
On September 26, 2026, Harris appeared on Off Air with Big Boy.
The Tech Race
This commentary extends the Biden administration's artificial intelligence executive orders by simplifying complex technical mechanisms for a general audience. It highlights the growing tension between engagement-driven business models and the push for stricter federal oversight.
The explanation clarifies how common social media feeds are curated to reinforce user interests based on past interactions. This framing suggests that future regulatory efforts may focus on the underlying logic of recommendation systems.
The takeaway
The event highlights the difficulty in translating complex algorithmic sorting into public policy discussions. Observers should monitor whether these analogies translate into formal legislative proposals regarding platform transparency.
Further reading
For more background on policy efforts, visit Artificial Intelligence.
Source note: This article includes information reported by 930 WFMD Free Talk.
Live Poll
Do you believe social media algorithms manipulate the information you see online?









