The posts use visual rhetoric by displaying recognizable cultural symbols and creating feelings of community and nostalgia. In this way, the algorithm acts like a mirror by reflecting a genuine aspect of my identity. Nora McDonald explains that "personalized algorithmic content does seem to present what teens interpret as a reliable mirror image of themselves." This quote describes my experience because the Haitian content on my Explore page reflects an important part of my background and personal identity.

Another dominant pattern on my Explore page is entertainment based content. Relationship posts, humorous memes, and food videos appear frequently throughout my feed. One post stated, "I date to marry," while other posts used humor and visually appealing images to attract attention. These posts rely heavily on emotional appeals, encouraging users to engage through laughter.

The recommendation demonstrates how algorithms make assumptions based on broad categories of interest rather than understanding the details of a person's identity. More importantly, many significant aspects of my life rarely appear on my Explore page. I am a pre-med student, an EMT trainee, a hospital volunteer, and a Christian. These roles and values are far more important to my daily life than many of the entertainment posts that dominate my feed. By emphasizing some interests while neglecting others, Instagram creates an incomplete version of who I am.

After reading the sources it reveals to me that algorithms influence users beyond simple recommendations. McDonald argues that "the social media mirror does not make them more self-reflective or challenge their sense of self." Instead, users often accept algorithmic representations without questioning their accuracy. I noticed this tendency while completing the assignment. Before analyzing my feed, I assumed it represented my interests fairly accurately. However, after reviewing my screenshots, I realized that many important aspects of my identity were either underrepresented or completely absent. Similarly, Bridge explains that "algorithms can influence and even train the thoughts, feelings and behaviors of billions of people." Rather than simply reflecting existing interests, algorithms actively shape users' experiences by determining which topics receive attention and which remain invisible.

Another important concept discussed by Bridge is social comparison. She explains that social media floods users with "highly curated images featuring people and slices of moments that show only what they want you to see." Many posts on my Explore page present idealized lifestyles, relationships, appearances, and experiences. These posts encourage users to compare themselves to others and can influence how people evaluate their own lives. In addition, Bridge warns that social media creates "information bubbles" that reinforce existing preferences and beliefs. My Explore page demonstrates this phenomenon because most recommendations reinforce interests that the algorithm already associates with me. As a result, the platform continuously strengthens certain parts of my identity while limiting exposure to different perspectives and interests.

Ultimately, my Instagram Explore page functions as a funhouse mirror rather than an accurate reflection of who I am. The algorithm correctly identifies some interests, such as my connection to Haitian culture and my enjoyment of entertainment content. However, it also exaggerates those interests while overlooking important aspects of my identity, including my academic goals, volunteer work, healthcare interests, and faith. The analysis demonstrates that algorithms do more than simply recommend content; they actively construct digital identities based on patterns of engagement. By amplifying some characteristics and minimizing others, social media algorithms create simplified versions of users that can influence how they see themselves and the world around them.