Algorithms and personalised content recommendations have revolutionised news dissemination by tailoring content to individual preferences. While this ensures a more engaging user experience, it also creates echo chambers where users are repeatedly exposed to similar viewpoints, potentially reinforcing biases and limiting exposure to diverse perspectives. This phenomenon can lead to polarisation, as people are less likely to encounter information that challenges their beliefs. The selective exposure to news driven by algorithms can distort public understanding and discourse, highlighting the need for a more balanced approach to news consumption.