Editorials & Other Articles

Social media platforms have become a ubiquitous part of our lives, offering personalized content that caters to our interests and preferences. Behind this personalization are complex AI algorithms that aim to enhance user experience. However, there’s a concerning downside to this technology — algorithmic bias. In this extensive blog, we will delve into the world of algorithmic bias on social media, exploring how these algorithms may unintentionally favor certain groups and viewpoints, ultimately contributing to discrimination and inequality.

Social media platforms like Facebook, Twitter, and Instagram have revolutionized the way we consume content. They employ sophisticated algorithms that take into account your past interactions, likes, shares, and comments to curate a feed that aligns with your interests. This personalization is designed to keep users engaged and active on the platform.

While personalization enhances the user experience, it brings forth a concerning phenomenon known as the “echo chamber effect.” This term refers to the way algorithms often feed users content that aligns with their existing beliefs and preferences. In other words, if you tend to engage with a particular political view or set of interests, the algorithm will continue to serve you content from that perspective.