We are diving into the topic of bias in online digital spaces, specifically focusing on information related to sustainability and health. Our research observes how biases can come into the data we find online whether that’s due to the way algorithms are built, what users post, or how data is collected. We want to understand how these biases affect the information we receive and how it influences our choices on environment and health. By delving deeper into these issues, we hope to find ways to reduce bias in these online platforms, ensuring that the information available is fair, accurate, and helpful for everyone.