Observing my social media feed over one week revealed that algorithms play a decisive role in shaping what I see, how often I see it, and how diverse or narrow my information environment becomes. The feed did not appear as a neutral stream of updates from all the accounts I follow; rather, it functioned as a curated space where certain themes, formats, and viewpoints were amplified while others were marginalised. This observation highlights how algorithmic systems influence social interaction, public discourse, and individual perception in contemporary society. In terms of content visibility, posts that aligned with my previous engagements consistently appeared at the top of my feed. Early in the week, I watched a short video on sustainable living practices and liked a post related to climate change. Over the next few days, my feed was populated with similar content—environmental activism reels, infographics on carbon footprints, and advertisements for eco-friendly products. Meanwhile, posts from friends about personal events, such as birthdays or travel updates, were less visible and sometimes appeared much later. This indicates that algorithms prioritise engagement-based signals such as likes, shares, watch time, and comments over chronological order. The system appears designed to maximise attention by predicting what I am most likely to interact with, thereby shaping my perception of what issues are important or trending. Repetition was another clear feature. Once I interacted with a few posts related to a specific topic, similar content appeared repeatedly, often from different creators but conveying nearly identical messages. For example, after searching for information about competitive exams, I encountered multiple motivational quotes, coaching institute advertisements, and “study routine” videos across platforms. Even when the wording differed, the themes remained consistent. This repetition creates a feedback loop: increased exposure leads to increased familiarity, which may reinforce beliefs or preferences. From a societal perspective, such repetition can intensify confirmation bias, as individuals are repeatedly exposed to viewpoints similar to their own while alternative perspectives receive less algorithmic support. The diversity of content was noticeably constrained by my interactions. Although I follow accounts related to literature, sports, technology, and public policy, only a few of these categories dominated my feed at any given time. Midweek, after I watched highlights from a cricket match, sports-related content surged. Analysis videos, player interviews, and promotional posts for sports merchandise became frequent. Meanwhile, posts from literature pages I follow were relatively absent. This suggests that the algorithm responds dynamically to short-term behaviour, temporarily narrowing the range of topics presented. As a result, my