Enhancing Information Architecture with Machine Learning for Digital Media Platforms - Honors Thesis Proposal

Aug 2, 2026

Upload by Liam

Modern advancements in machine learning are reshaping information architecture within user experience design for digital media platforms. This work addresses the challenge created by rapidly growing volumes of user-generated data, where designers must categorize semantic content without breaking a user-centric interface structure. It highlights the need to connect backend classification and recommendation modeling with frontend information architecture decisions. The research aims to demonstrate an AI-informed information architecture model that supports a user-facing topic selection recommendation system.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages39

Reading Time1 h 38 min

Introduction

Literature Review

Case Study

Problem Statement

Research

Methodology

Proposed Model

Evaluation

Principles of User Experience Design and Information Architecture

Instagram Comparative Analysis

Facebook Comparative Analysis

YouTube Comparative Analysis

Limitations and Future Work

Conclusion

References

Georgia Southern University Digital Commons@Georgia Southern Honors College Theses 4-1-2024 Enhancing Information Architecture with Machine Learning for Digital Media Platforms Taylor N. Mietzner Georgia Southern University Follow this and additional works at: [https://digitalcommons.georgiasouthern.edu/honors-theses](https://digitalcommons.georgiasouthern.edu/honors-theses) Part of the Communication Technology and New Media Commons, Computer and Systems Architecture Commons, Graphic Design Commons, Other Computer Engineering Commons, and the Social Media Commons Recommended Citation Mietzner, Taylor N., "Enhancing Information Architecture with Machine Learning for Digital Media Platforms" (2024) . Honors College Theses. 929. [https://digitalcommons.georgiasouthern.edu/honors-theses/929](https://digitalcommons.georgiasouthern.edu/honors-theses/929) This thesis (open access) is brought to you for free and open access by Digital Commons@Georgia Southern. It has been accepted for inclusion in Honors College Theses by an authorized administrator of Digital Commons@Georgia Southern. For more information, please [contact digitalcommons@georgiasouthern.edu](contact digitalcommons@georgiasouthern.edu). Enhancing Information Architecture with Machine Learning for Digital Media Platforms An Honors Thesis Proposal submitted in partial fulfillment of the requirements for Honors in Information Technology. By Taylor Mietzner Under the mentorship of Dr. Christopher Kadlec ABSTRACT Modern advancements in machine learning are transforming the technological landscape, including information architecture within user experience design. With the unparalleled amount of user data generated on online media platforms and applications, an adjustment in the design process to incorporate machine learning for categorizing the influx of semantic data while maintaining a user-centric structure is essential. Machine learning tools, such asthe classification and recommendation system, need to be incorporated into the design for user experience and marketing success. There is a current gap between incorporating the backend modeling algorithms and the frontend information architecture system design together. The aim of this research is to discover how machine learning technology can enhance the information architecture for user experience across multimedia platforms. For practical demonstration, there will be a novel, proposed information architecture model with machine learning input to recommend a topic selection system presented on the user-facing design. Thesis Mentor: Dr. Christopher Kadlec Honors Dean: Dr. Steven Engel April 2024 Information Technology Honors College Georgia Southern University Acknowledgements I would like to express my sincere gratitude to the Department of Information Technology and the Honors College at Georgia Southern University. I am grateful for their commitment to my college learning and their abundant resources offered during my time at Georgia Southern University. I would also like to thank my mentor, Dr. Christopher Kadlec, for his dedication and willingness to help with my area of study. I would also like to express gratitude towards my parents, my husband, and friends for their support throughout my college journey. Table of Contents 1. Introduction ........................................................................................................................................... 3 2. Literature Review ............................................................................................................................... 5 3. Case Study ............................................................................................................................................ 8 3.1. Problem Statement ........................................................................................................................ 8 3.2. Research ........

FAQs

Why is information architecture important for digital media platforms?

Information architecture transforms raw data into accessible knowledge and guides users to consume, generate, organize, access, and display content through understandable interfaces.

What gap does the thesis identify between machine learning and information architecture design?

It identifies a gap between integrating backend modeling algorithms and aligning those outputs with frontend information architecture system design.

What practical contribution does the research propose?

It proposes a novel information architecture model that uses machine learning input to recommend a topic selection system in the user-facing design.

Aug 2, 2026

Upload by Liam