Honors Theses

Date of Award

Spring 5-9-2026

Document Type

Undergraduate Thesis

Department

Integrated Marketing Communication

First Advisor

Christina Sparks

Second Advisor

Bitt Moon

Third Advisor

Ashley Jones-Bodie

Relational Format

Dissertation/Thesis

Abstract

As media environments evolve, so does the process through which individuals form identity and understand social reality.  This study explores how algorithms within media influence identity and worldview, with a particular focus on Generation Z; the first generation born alongside the development of modern media systems.

A mixed-method approach was used with survey data and focus group discussions to better understand how repeated exposure to personalized feeds impact user’s perspectives and sense of self.  This research aimed to investigate how Gen Z users interact with and interpret their social media feeds, with attention to perceived alignment between media content and personal identity.

It was discovered that these users actively engage with algorithm-based media as both displays and consumers of identity, valuing personalized content that aligns with their existing interests, beliefs, and self-concept, while simultaneously recognizing the algorithm’s role in shaping and reinforcing those perceptions over time.

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