Impartial Prejudice

Project running on prompt "music"
Project running on prompt "dog"
Project Running on prompt "car"

Impartial Prejudice is a hackathon project that demonstrates how social media algorithms amplify user bias. Using automated interaction on TikTok, our system prompts the user for a target concept (e.g., “dogs” or “politics”) and proceeds to scroll on TikTok, analyzing video metadata and visuals with AI, scoring each video’s relevance, and selectively engaging with aligned content. Over time, this skews the feed towards or away from a single viewpoint, showing how opposing “noise” is gradually silenced. The project highlights the mechanisms behind algorithmic bias and its implications for education, research, and policy.