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Full-Text Articles in Digital Humanities
Your Grades Are Good. The World Just Doesn’T Know It Yet Afrivarsity: A Privacy-First Platform Translating West African Wassce Grades For Global University Access, Godwin Idowu
IPHS 484: Senior Seminar
Every year, millions of students across Ghana, Nigeria, Sierra Leone, Liberia, and The Gambia finish school with grades that actually mean something. A B2 is strong. A C5 still shows real competence. These aren't participation grades: they come from some of the most rigorous standardized exams on the continent. But the moment a student tries to use them outside the region, they stop working. Walk into any admissions office in the US or UK with that result slip and you'll get a polite smile and a shrug. Nobody knows what to do with it. The grade is real. The context …
The Missing Memory In Ai Agent Networks A Network Analysis Of Moltbook, Muhammad Ibraheem Nadeem
The Missing Memory In Ai Agent Networks A Network Analysis Of Moltbook, Muhammad Ibraheem Nadeem
IPHS 484: Senior Seminar
Large language models have transformed AI from a passive tool into a social actor. Humans form measurable interpersonal closeness with LLMs in one-on-one settings [4], and generative agents placed in shared environments autonomously form relationships and coordinate collective behavior [2]. Moltbook, launched on January 28, 2026 by AI entrepreneur Matt Schlicht, is the first large scale social network designed to be populated exclusively by AI agents, with human users restricted to observation only. The platform mimics Reddit, organizing activity around topic-specific communities called submolts. Within these spaces, heterogeneous agents — running on different LLMs, configured by different human owners, and …
Readder: An Evidence-Based Rsvp Speed Reader For Students With Adhd And Convergence Insufficiency, Adrian Mangine
Readder: An Evidence-Based Rsvp Speed Reader For Students With Adhd And Convergence Insufficiency, Adrian Mangine
IPHS 484: Senior Seminar
readder is a web-based Rapid Serial Visual Presentation (RSVP) application designed to improve reading speeds and accessibility for students with Attention-Deficit/Hyperactivity Disorder (ADHD) and convergence insufficiency (CI). ADHD affects approximately 9% of school-age children, and CI affects 5–15%, with recent evidence suggesting a 73% comorbidity rate between the two conditions (Moussaoui et al., 2025). Traditional reading demands coordinated saccadic eye movements that are disrupted by both ADHD and CI, leading to fatigue, reduced comprehension, and reading avoidance. RSVP eliminates saccadic demands by presenting words sequentially at a single fixation point and has been shown to improve reading comprehension in adults …
From “I” To “We”: A Computational Analysis Of Gen Z, Collective Identity, And Generational Discourse On Reddit, Andre Mccloud
From “I” To “We”: A Computational Analysis Of Gen Z, Collective Identity, And Generational Discourse On Reddit, Andre Mccloud
IPHS 484: Senior Seminar
Throughout time, generational differences have been studied primarily through surveys and self-report measures. These methods capture what we think but tell us little about how generations communicate and express themselves. I conduct a different method of analysis in this study. Instead of asking generations what they think, I analyze how they naturally communicate. This is done by analyzing 4,972 Reddit posts across generation-specific subreddits: r/Over60 (Boomer), r/GenX, r/Millennials, and r/GenZ. No keywords are used in the collection, allowing for natural collection of topics occurring in the subreddits. The data is analyzed using five approaches: LDA topic modeling, VADER sentiment analysis, …
Classical Music Isn’T Dead: Audience Development And Marketing Strategies For The Mid-Sized American Orchestra, Rachel Ferrara
Classical Music Isn’T Dead: Audience Development And Marketing Strategies For The Mid-Sized American Orchestra, Rachel Ferrara
IPHS 484: Senior Seminar
The American symphony orchestra is widely perceived to be a dying institution. This research investigates that perception and finds that it is largely unsupported. Sector revenue is growing, new households are entering concert halls, and younger audiences are engaging with orchestral music at higher rates than previous generations. However, Americans rate symphonies the least welcoming of any cultural institution, and strategies widely adopted to address declining attendance have been shown to be ineffective as conversion tools. The problem lies in marketing and communication. This project synthesizes sector-wide research and case studies to identify which audience development strategies are supported by …
What Nlp Tells Us About The Future Of Viral Journalism: A Case Study On Buzzfeed’S Strategic Pivot (2016–2025), Gwen Eisenbeis
What Nlp Tells Us About The Future Of Viral Journalism: A Case Study On Buzzfeed’S Strategic Pivot (2016–2025), Gwen Eisenbeis
IPHS 484: Senior Seminar
This project examines the evolution of digital journalism through a longitudinal NLP analysis of BuzzFeed headlines from 2012 to 2025. Using an NLP pipeline, the study applied cosine similarity, sentiment analysis, frequency modeling, and topic modeling to measure changes in language and focus over time. The findings reveal a decline in the listicle-heavy style that defined BuzzFeed’s early success and a rise in shopping and affiliate-driven headlines built around consumer recommendations and curated internet reactions. In 2016, positive language and numbered list formats (“17,” “19,” “best”) dominated engagement, while in 2025, terms such as “products” became the most prominent. Topic …
Hacking Human Attention: Ai Influencers Aspect-Based Sentiment Analysis And Behavioral Analytics, Ayesha Aslam
Hacking Human Attention: Ai Influencers Aspect-Based Sentiment Analysis And Behavioral Analytics, Ayesha Aslam
IPHS 484: Senior Seminar
AI influencers are hyper-realistic computer-generated models designed to look and behave like real social media influencers. This study uses Aspect-Based Sentiment Analysis (ABSA), qualitative content labeling, and quantitative regression modeling to analyze how AI influencers on Instagram generate audience engagement. User comments were classified into key aspects including Human Projection, AI Awareness, Controversy, Parasocial Attachment, and Exploitation/Spam, with each associated with positive, negative, or neutral sentiment. Post content types and caption strategies were structured into analyzable features, while engagement metrics including likes, comments, and engagement rate were examined across these categories. A linear regression model was used to estimate the …
Many Stories, One Shape: Narrative Convergence In Ai-Generated Fiction, Marisol Hernandez Brito
Many Stories, One Shape: Narrative Convergence In Ai-Generated Fiction, Marisol Hernandez Brito
IPHS 484: Senior Seminar
Frontier large language models (LLMs) generate fluent outlines but often converge on repetitive structural templates. This exploratory study examined inter-model diversity in thriller novel outlines produced by five LLMs (ChatGPT-5(5.1), Grok-4, Gemini-2.5 Flash, DeepSeek-v3, Claude Sonnet-4.5) under baseline and enhanced prompting conditions (N=50 outlines). Blind AI evaluations revealed moderate inter-model diversity (baseline mean 64.45%; enhanced 58.89%), declining relative to intra-model baselines and between phases, particularly in Protagonist and Plot dimensions. Quantitative and qualitative analysis identified phase-specific convergence: a "forensic procedural" template (analytical female protagonists, corporate conspiracies, Quest/Monster arcs) under the baseline prompt, shifting to a "domestic psychological thriller" template (uniform …
Leveraging Ai Agents And Multi-Agent Debate To Automate Mlb Front Office Decisions And Roster Construction, Parker Gibbons
Leveraging Ai Agents And Multi-Agent Debate To Automate Mlb Front Office Decisions And Roster Construction, Parker Gibbons
IPHS 484: Senior Seminar
This project leverages artificial intelligence Agents and Multi-Agent Debate (MAD) to evaluate Major League Baseball players and construct a twenty-six player MLB roster. The AI Agents evaluate each player based on statistics and grades them according to a five-tool scale, eventually resulting in a single numerical rating. MAD is then employed alongside optimization techniques to select thirteen hitters and thirteen pitchers, maximizing team performance according to agent consensus, while staying within a specified salary cap. The operating hypothesis is that AI agents can effectively evaluate Major League Baseball players based on performance statistics, even with large and complex datasets. By …
Understanding Human-Ai Interactions: What 17,000 Conversations Reveal About Creativity And Chatgpt, Hannah Sussman
Understanding Human-Ai Interactions: What 17,000 Conversations Reveal About Creativity And Chatgpt, Hannah Sussman
IPHS 484: Senior Seminar
This study uses topic modeling to analyze over 17,000 English-language conversations from the WILDCHAT-FULL dataset, a large-scale collection of human-ChatGPT interactions. By applying Latent Dirichlet Allocation (LDA) across 17 time-based segments spanning one year, the research identifies major themes and temporal shifts in user engagement. Creative writing emerged as the dominant topic category, accounting for nearly 40% of all identified topics. Subcategories such as character development, fight scenes, and sexual content offer further insight into how users creatively engage with ChatGPT. By combining large-scale topic modeling with close qualitative review, this study demonstrates a scalable yet nuanced approach to analyzing …
Peak : An Ai Voice Coach For Emotion-Aware Performance Tracking In High-Stakes Fields, Ayman Wadud
Peak : An Ai Voice Coach For Emotion-Aware Performance Tracking In High-Stakes Fields, Ayman Wadud
IPHS 484: Senior Seminar
High-stakes performers, such as athletes, artists, and professionals, often lack tools that integrate objective performance metrics with subjective mental states. This disconnect can hinder effective training and optimization. PEAK addresses this gap by combining customizable performance analytics with real-time emotional insights via Hume's Empathic Voice Interface (EVI). Through natural voice interaction, PEAK correlates emotional expression with performance data, enabling personalized feedback and data-driven reflection. The platform empowers users to understand their emotion-performance dynamics and develop targeted strategies for sustainable peak performance.
Yunique: Adaptive Intelligence For Convertible Bond Investing, Yunhan Zhao
Yunique: Adaptive Intelligence For Convertible Bond Investing, Yunhan Zhao
IPHS 484: Senior Seminar
No abstract provided.
Nlp Analysis Of The Septuagint: Topic Modeling And Sentiment Analysis Of Biblical Domestic Terms, Anne-Duncan Enright
Nlp Analysis Of The Septuagint: Topic Modeling And Sentiment Analysis Of Biblical Domestic Terms, Anne-Duncan Enright
IPHS 484: Senior Seminar
This study conducts an exploratory data analysis (EDA) of topic modeling and sentiment analysis applied to the Septuagint (LXX – the Greek translations of the Old Testament and the New Testament in the original Koine Greek) as well as four English translations of the Bible (LSV, Darby, DR, and KJV). Utilizing Latent Dirichlet Allocation (LDA) for topic modeling, I compare the Vulgate-based translations to Septuagint-based translations, discovering marked differences between the two categories of translations. The Vulgate is the Latin translation of the Bible done by Jerome in 900 A. D. which is already one step away from the original …
Scraping Sermonsusing Natural Language Processing To Compare Protestant Churches, Annalia Fiore
Scraping Sermonsusing Natural Language Processing To Compare Protestant Churches, Annalia Fiore
IPHS 484: Senior Seminar
This project compares sermons from three Christian traditions: Evangelical, Charismatic, and Reformed. Using data scraped from church youtube channels based in the Columbus, Ohio area, I ran thousands of sermons through Topic Modeling to evaluate the differing emphases of each tradition. Many of the topics corresponded with what we might expect from their respective tradition. But others were surprising. Most significantly, there was a strong emphasis within the Charismatic tradition on tithing and finances, concerns with resisting sexual temptation among the Evangelicals, and a focus on ecclesiology within the Reformed tradition. This project also indicates that further topic modeling on …
Mastering The Art Of Ai Language: An In-Depth Exploration Of Prompting Techniques And Their Influence On Model Performance, Junaid Yeasir Fahim
Mastering The Art Of Ai Language: An In-Depth Exploration Of Prompting Techniques And Their Influence On Model Performance, Junaid Yeasir Fahim
IPHS 484: Senior Seminar
AI language models like ChatGPT(GPT-4), Claude, Grok, PI, and Gemini Advanced have revolutionized various domains with their remarkable capabilities. However, their performance varies significantly depending on the prompting techniques and the domain of application. This research investigates the performance of these models across zero-shot, few-shot, and chain-of-thought prompting techniques in three domains: HELLASWAG (common-sense reasoning), TRUTHFULQA (popular misconceptions), and Game Theory (textbook problems). By evaluating the models using a qualitative scoring rubric and exploring a novel domain, we aim to identify the most effective prompting strategies, gain insights into their strengths and limitations, and inform future research and development efforts …
Artificial Intelligence For The Saas Industry: How Llms And Ai Tools Can Be Utilized To Assess Key Performance Indicators And Internal Alignment Standards For Publicly Traded Saas Companies, Dillon Cleary
IPHS 484: Senior Seminar
This artificial intelligence project presents a comprehensive analysis of four distinct Software as a Service (SaaS) companies—Blend Labs, Riskified, VTEX, and CS Disco—evaluating their internal alignment through strategic focus and execution, customer relationship management, operational efficiency, market adaptability, and leadership stability. By examining key performance indicators (KPIs) and strategic initiatives, this project aims to generate new, universal KPIs that serve all of the companies being analyzed. The project also employs a grading rubric designed for assessing the internal alignment of SaaS companies, crucial for their long-term success in the highly competitive and rapidly evolving tech sector. This study is a …
Integrating Ai Into Equity Research: A Case Study On Lululemon In The Apparel Retail Industry, Drew Robinson
Integrating Ai Into Equity Research: A Case Study On Lululemon In The Apparel Retail Industry, Drew Robinson
IPHS 484: Senior Seminar
This study explores the development of a generative AI model, "My GPT," tailored to provide equity research for individual investors, with a specific focus on Lululemon Athletica Inc. The project's goal was to create an accessible financial analysis tool that could potentially rival traditional, costly financial services. The research involved iterative model development, beginning with a baseline model and advancing through four subsequent iterations, each refined based on the increasing complexity of prompts and the depth of training data. These iterations incorporated detailed financial reports, market trends, and industry-specific metrics to enhance the model's analytical accuracy and relevance. The final …
A Retrieval-Augmented Film Recommendation System, Richard Anthony Álvarez
A Retrieval-Augmented Film Recommendation System, Richard Anthony Álvarez
IPHS 484: Senior Seminar
This project introduces a Retrieval-Augmented Film Recommendation System, developed as a Command Line Interface (CLI). It leverages advanced semantic search techniques, combined with retrieval-augmented generation, to deliver personalized movie recommendations. The system accesses extensive film metadata from two remote API sources, enriching the quality and accuracy of its suggestions. Tested across various movie preference profiles, the system adeptly adjusts its recommendations to suit individual tastes, showcasing its adaptability and the effectiveness of retrieval-augmented technology in streamlining user interactions with digital entertainment platforms.
Captivating Video Editing Secrets: Unsupervised Deep Learning And Pyscenedetect Analysis Of Creative Strategies, Richard Anthony Álvarez
Captivating Video Editing Secrets: Unsupervised Deep Learning And Pyscenedetect Analysis Of Creative Strategies, Richard Anthony Álvarez
IPHS 484: Senior Seminar
No abstract provided.
How Well Can Gpt-4 Really Write A College Essay? Combining Text Prompt Engineering And Empirical Metrics, Abigail Foster
How Well Can Gpt-4 Really Write A College Essay? Combining Text Prompt Engineering And Empirical Metrics, Abigail Foster
IPHS 484: Senior Seminar
No abstract provided.
The Secret Sauce Of Successful Entrepreneurship: How Generative Ai Can Revolutionize Your Startup!, Cherantha De Silva
The Secret Sauce Of Successful Entrepreneurship: How Generative Ai Can Revolutionize Your Startup!, Cherantha De Silva
IPHS 484: Senior Seminar
No abstract provided.
Igniting Imagination: Gpt-4 And Midjourney's Venture Into Literary Visualization, Vikas Gudhe
Igniting Imagination: Gpt-4 And Midjourney's Venture Into Literary Visualization, Vikas Gudhe
IPHS 484: Senior Seminar
No abstract provided.
Unlocking The True Worth Of Unpaid Internships: A Comprehensive Analysis, Owen Walls
Unlocking The True Worth Of Unpaid Internships: A Comprehensive Analysis, Owen Walls
IPHS 484: Senior Seminar
No abstract provided.
Navigating Disruption: A Comprehensive Analysis Of The Kenyon Faculty Housing Crisis, Michael Bazzano, Finn Murray
Navigating Disruption: A Comprehensive Analysis Of The Kenyon Faculty Housing Crisis, Michael Bazzano, Finn Murray
IPHS 484: Senior Seminar
No abstract provided.
Data-Driven Analysis Of College Career Services: How Kenyon Can Improve Student Success, Junaid Yeasir Fahim
Data-Driven Analysis Of College Career Services: How Kenyon Can Improve Student Success, Junaid Yeasir Fahim
IPHS 484: Senior Seminar
No abstract provided.
Reimagining The Past: Harnessing Generative Ai To Explore And Restore Cultural Heritage, Ani Parnagian
Reimagining The Past: Harnessing Generative Ai To Explore And Restore Cultural Heritage, Ani Parnagian
IPHS 484: Senior Seminar
No abstract provided.
An Economic Measure Of The Post-9/11 Growth Of The Defense Budget: Quantifying The Military-Industrial Complex's Growing Influence Over The Pentagon, Max Nonnenmacher
An Economic Measure Of The Post-9/11 Growth Of The Defense Budget: Quantifying The Military-Industrial Complex's Growing Influence Over The Pentagon, Max Nonnenmacher
IPHS 484: Senior Seminar
No abstract provided.
When Ai Met Screenwriting: Can Ai Generate Beat Sheets And Storyboards?, Devon Turner
When Ai Met Screenwriting: Can Ai Generate Beat Sheets And Storyboards?, Devon Turner
IPHS 484: Senior Seminar
No abstract provided.
On Death And Emotion: Evaluating The Five Stages Of Grief In End-Of-Life Memoirs Using Ai Deep Learning Models, Hemmi Song
IPHS 484: Senior Seminar
No abstract provided.
New Insights Into Private Equity In The Us Healthcare Space: Balancing Economic Efficiency With Patient Care Quality Using Novel Metrics, Alard Schroeder
New Insights Into Private Equity In The Us Healthcare Space: Balancing Economic Efficiency With Patient Care Quality Using Novel Metrics, Alard Schroeder
IPHS 484: Senior Seminar
No abstract provided.