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Articles 1 - 30 of 213
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 …
Ai Literacy Framework, Beronica Avila, R. Jordan Crouser, Katherine Elkins, Lisa Morrison, Jenna E. Nolt
Ai Literacy Framework, Beronica Avila, R. Jordan Crouser, Katherine Elkins, Lisa Morrison, Jenna E. Nolt
Instructions, Forms, and Toolkits
No abstract provided.
Ai Tool Assessment Framework, Beronica Avila, R. Jordan Crouser, Katherine Elkins, Lisa Morrison, Jenna E. Nolt
Ai Tool Assessment Framework, Beronica Avila, R. Jordan Crouser, Katherine Elkins, Lisa Morrison, Jenna E. Nolt
Instructions, Forms, and Toolkits
A resource to assist with making decisions about purchasing AI tools
Language And Polarization: A Psycholinguistic Analysis Of Political Communication During Trump's Second Term, Andrew Vera
Language And Polarization: A Psycholinguistic Analysis Of Political Communication During Trump's Second Term, Andrew Vera
IPHS 300: AI for Humanity
This project uses psycholinguistics—the systematic measurement of psychological orientation through language —to examine political communication from when Trump took office in his second presidency to the start of the Iran war—January 20, 2025 through February 28, 2026. I asked whether elite political language during this period reflects what Robert Putnam calls bonding social capital (inter -group reinforcement) or bridging social capital (cross-group connection), a dichotomy relevant to theory of democratic depolarization. To answer that, I scraped 16,707 documents —7,409 of Trump's Truth Social posts and 9,298 White House, State Department, and Department of Defense press releases —an d scored each …
The Digital Supreme Court: A Meta-Analysis Of Antitrust Retrospectives Using Frontier Llms, Pablo Portillo
The Digital Supreme Court: A Meta-Analysis Of Antitrust Retrospectives Using Frontier Llms, Pablo Portillo
IPHS 300: AI for Humanity
This project examines whether frontier Large Language Models (LLMs) can serve as structured “expert critics” in economic and legal reasoning. I built a panel of AI judges composed of GPT-5.5, Opus 4.7, and DeepSeek V4, to evaluate three antitrust merger retrospectives: Carlton et al. (2022) on AT&T/Time Warner, Hazlett and Crandall (2024) on T-Mobile/Sprint, and Argentesi et al. (2021) on Facebook/Instagram plus Google/Waze. Using a 10-factor weighted rubric, the panel scored each paper on empirical alignment, parameter robustness, counterfactual validity, dynamic adaptability, and analytical rigor. I then synthesized the nine evaluations as the “Highest Judge,” comparing where the models converged, …
Confident And Wrong : How Llm Miscalibration Mirrors The Dunning-Kruger Effect Across Ambiguity Levels, Maggie Grespin
Confident And Wrong : How Llm Miscalibration Mirrors The Dunning-Kruger Effect Across Ambiguity Levels, Maggie Grespin
IPHS 300: AI for Humanity
Psychology gave us the Dunning-Kruger effect, the observed pattern that a person is often overconfident when they fall in the lowest quartile of that skill’s proficiency. This research is interested in seeing if large language models (LLMs) suffer the same miscalibration of metacognitive skills. Using thirty deliberately ambiguous college-level math question prompts, this research assesses Claude Sonnet 4.6’s ability to interpret each question, provide an answer, and rate its own confidence without asking for clarification. Results show that while confidence appropriately drops at the moderate tier, it rebounds on the hardest questions (0.840) even as accuracy falls to 0.450. This …
Whose Vietnam War? How Llms Answer Contested History In Three Languages, Melissa Vu
Whose Vietnam War? How Llms Answer Contested History In Three Languages, Melissa Vu
IPHS 300: AI for Humanity
As a Vietnamese international student studying in the US, I grew up learning one version of the Vietnam War -or, as we call it in Vietnamese, the American War -in Vietnamese history classes, only to encounter different perspectives in American college classrooms. Taking Chinese language courses and spending a semester abroad in China sharpened this further as the same historical events looked different again through Chinese sources. These experiences made me aware of how language shapes the way information and historical knowledge get presented and understood. Since LLMs are trained on data reflecting many cultures and languages, I wanted to …
Know Thyself: A Conversation That Reveals How You Think: Adaptive Ai Assessment Across Eight Psychometrically Grounded Metrics, Adam Leider
IPHS 300: AI for Humanity
AI's ability to assess human cognitive and psychological patterns through natural conversation is an underexplored area with significant potential, particularly for college students navigating a demanding and overwhelming transitional period. This project involved selecting eight psychometrically grounded metrics, designing an adaptive question bank and detailed system prompt to govern the assessment conversation, building a second AI model to review and correct results before they are shown, and deploying the full application as a publicly accessible web tool. The result is a conversational assessment that delivers a personalized psychological profile, including strengths, areas for growth, metric interactions, and actionable suggestions in …
Face-Work In Frontier Models: Benchmarking Sycophantic Behavior In Llm-Based Educational Tutoring, Nick Chen
Face-Work In Frontier Models: Benchmarking Sycophantic Behavior In Llm-Based Educational Tutoring, Nick Chen
IPHS 300: AI for Humanity
Since OpenAI’s famous rollback of GPT-4o for being “overflattering” in April 2025, sycophancy in large language models, which reflects the tendency to prioritize user satisfaction over truthfulness, has become a major concern in AI alignment. Sycophancy is widely recognized as a byproduct of Reinforcement Learning from Human Feedback (RLHF) and deserves attention in educational contexts where such responses to student errors will reinforce misconceptions. This project builds on the social sycophancy framework introduced by Cheng et al. (2025) in ELEPHANT, which applies sociologist Goffman's classical theory of face work to LLM behavior, extends it to educational settings, and raises the …
Whose Ethics? Auditing The Moral Defaults Of Large Language Models Against Ubuntu Philosophy, Davelle Akosua Ampofo-Twumasi
Whose Ethics? Auditing The Moral Defaults Of Large Language Models Against Ubuntu Philosophy, Davelle Akosua Ampofo-Twumasi
IPHS 300: AI for Humanity
As LLMs are deployed globally, the moral framework they u se matters. This study tested if four frontier LLMs default to Western ethics and how naming Ubuntu, a communal Southern African philosophy, changes their moral reasoning. Five dilemmas were presented to Claude Opus 4.7, GPT-5.4, Gemini 2.5 Flash, and DeepSeek V3, unprompted and with Ubuntu named. Responses were scored on seven Ubuntu dimensions (e.g., relational inclusion, dignity, reciprocity). All models defaulted to Western individualist reasoning when unprompted. With Ubuntu named, DeepSeek (57/70) and Claude (56/70) significantly outperformed GPT and Gemini (32/70 each). Gaps were largest in reciprocity and relational inclusion. …
Ai Mcat Tutor: Personalized Study Planning, Daily Check-Ins, & Slideshow Generator For Pre-Medical Students, Luke Latterman
Ai Mcat Tutor: Personalized Study Planning, Daily Check-Ins, & Slideshow Generator For Pre-Medical Students, Luke Latterman
IPHS 300: AI for Humanity
Preparing for the Medical College Admission Test (MCAT) is among the most demanding academic challenges facing pre-medical students, yet access to professional tutoring remains prohibitively expensive for many. This paper describes the design, implementation, and iterative evaluation of an AI-powered tutoring system built using Claude Code, Anthropic’s command-line interface for the Claude large language model, intended to serve pre-medical students directly, whether or not they have access to a professional tutor. The system integrates three components: a personalized multi-phase study schedule generator, a daily check-in assistant, and an AI-driven instructional slideshow generator for targeted content review. Each component was designed …
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 …
Lost In Transcreation: Llm Performance In Multicultural Creative Work, Murathan Kocaman
Lost In Transcreation: Llm Performance In Multicultural Creative Work, Murathan Kocaman
IPHS 200: Programming Humanity
This study benchmarks four leading LLMs (GPT-5.2, Claude 4.5, Gemini 3, and Grok-4) on cross-cultural advertising transcreation, using Turkish as a particularly revealing test case. Each model generated Turkish billboard taglines for three American brands (Hinge, Manscaped, and Oatly) under real-world constraints, and all outputs were scored using the Levent Index, a 100-point framework I created by synthesizing transcreation best practices with the Turkish linguistic instincts I developed growing up in Istanbul. The Index measures Linguistic Soul (40%), Cultural Resonance (40%), and Structural Flow (20%), and the complete rubric is available upon request. Gemini 3 dominated performance, yet no model …
Two Moles, Two Worlds: Network Analysis Of Infernal Affairs And The Departed, Melissa Vu
Two Moles, Two Worlds: Network Analysis Of Infernal Affairs And The Departed, Melissa Vu
IPHS 200: Programming Humanity
This project aims to explore how adaptation reshapes the social architecture of a movie. To do this, I used social network analysis to compare the character dynamics between Infernal Affairs(Hong Kong, 2002) and its U.S. adaptation The Departed(2006) in two ways: co-presence networks (characters connected when they appear in the same scene, with edge weights capturing repeated co-appearance) and directed dialogue network (arrows representing who speaks to whom, with thicker arrows indicating more frequent dialogue). Comparing the network structures across the two films reveals meaningful differences in group structure, connecting roles, and the concentration of dialogue around key characters, which …
Lights, Camera, Action! Mapping Concentration, Wealth, And Stability In Nyc Film Production, Mariah Szabo
Lights, Camera, Action! Mapping Concentration, Wealth, And Stability In Nyc Film Production, Mariah Szabo
IPHS 200: Programming Humanity
This project is a comprehensive analysis of over 93,000 New York City film permits from 2012-2025. A geographic analysis reveals that filming activity is concentrated in a small number of neighborhoods, although slight differences are visible based on the type of media being filmed. This geographic pattern has remained stable over the 13 years studied, despite major disruptions like COVID-19 and the streaming boom. Notably, a joint analysis with a New York City household income dataset shows that these neighborhoods stand as wealthier than the average New York City neighborhood. The result is an “NYC on Film” that represents only …
Mapping Interior Focalization: Social Network Analysis And Free Indirect Discourse In Mrs. Dalloway, Zhuojun Jiang
Mapping Interior Focalization: Social Network Analysis And Free Indirect Discourse In Mrs. Dalloway, Zhuojun Jiang
IPHS 200: Programming Humanity
Mrs. Dalloway, a highly renowned stream-of-consciousness novel in modern literature, employs extensive use of free indirect speech and shifting focalization, leaving the relationships between its characters elusive and sophisticated. How does social network analysis behave when focalization shifts rapidly across characters in free indirect discourse? This study employs specific literary analysis with social network analysis as digital humanities methodology to investigate the contrast between the superficial social structures and the interior psychological relationship structures. I referenced Jessica Daugherty’s poster on social network analysis and Professor Elkin’s sentiment analysis on Mrs. Dalloway as my sources of inspiration, and I used ChatGPT, …
French Reactions To 9/11: An Analysis Of French Newspaper Articles Published September 12, 2001, Rose Plottel
French Reactions To 9/11: An Analysis Of French Newspaper Articles Published September 12, 2001, Rose Plottel
IPHS 200: Programming Humanity
This research presents a hierarchical cluster analysis and aspect based sentiment analysis (ABSA) of French newspaper articles about the September 11 attacks published on September 12, 2001. The study focuses specifically on the key thematic clusters discussed across these articles and the variance in sentiment scores across them. Using Dendrogram Hierarchical Modeling and ABSA, the model identified six thematic clusters and measured thematic scores for each cluster as well as their key terms on a scale ranging [-1,1]. The analysis revealed simultaneous sympathy for the American people alongside scrutiny of potential American retaliation.
Sentiment Oscillations In Mafia Cinema: Using Sentiment Analysis To Quantify The Critical Disparity Within The Godfather Trilogy, Andrew Vera
IPHS 200: Programming Humanity
This project uses sentiment analysis technology to examine the screenplays of The Godfather trilogy. Sentiment analysis generates data based on dramatic dialogue, rating each line on a sentiment scale that indicates the level of emotional intensity or neutrality, as well as whether the sentiment is positive or negative. By using this technology, the study identifies the unique curves of each film, allowing for a comparison of narrative peaks and valleys that helps explain the disparity between the series' acclaim and its criticism. Additionally, by measuring the sentiment arc disparities, the study seeks to illustrate why the first two films in …
Aspect-Based Sentiment Analysis With Llms: Are Large Language Models Able To Accurately Score Sentiment In Company Earnings Calls?, Peyton Hodges
Aspect-Based Sentiment Analysis With Llms: Are Large Language Models Able To Accurately Score Sentiment In Company Earnings Calls?, Peyton Hodges
IPHS 200: Programming Humanity
When a company releases an earnings call, it can have a big impact on the respective stock market performance of that company. Investors of all types do their best to analyze the data and sentiment provided by the senior executive members to gauge potential future trends of the stock price. Earnings calls are especially important for companies like Nvidia that are making waves in the tech world as AI continues to grow. Previously, sentiment analyses were typically reserved for big companies who specialize in financial quantitative analysis. However, the introduction of Large Language Models (LLMs) such as Gemini, ChatGPT, and …
Examining The Ohio 5’S Identities: A Data Analysis Of College Mission Statements, Olivia Hiner
Examining The Ohio 5’S Identities: A Data Analysis Of College Mission Statements, Olivia Hiner
IPHS 200: Programming Humanity
How do the Ohio 5 compare in their mission statements? Being in such close proximity to each other, they compete in enrollment, sports, academics, student life, and more. This study utilizes mission statements in order to observe semantic similarity. By running the code, a heatmap, semantic map, and 3D semantic space reveal that Kenyon’s mission statement is most similar to the others whilst Oberlin is most dissimilar.
Reading Between The Taglines: Regional Topic Frequencies In Reality Television Narratives, Ava Fattahi
Reading Between The Taglines: Regional Topic Frequencies In Reality Television Narratives, Ava Fattahi
IPHS 200: Programming Humanity
This project uses topic and word frequency arcs to explore a seemingly frivolous yet ultimately revealing part of modern TV: The Real Housewives franchise (2006-). By looking at the taglines the women use to introduce themselves along with full transcripts of episodes, I want to examine how the mood and language of different cities change from region to region of the wildly popular series. I focus on a small sample size of three areas: the West Coast (Beverly Hills), the Northeast (New York City), and the South (Atlanta). Based on what I have noticed as a longtime viewer of the …
From Nature To Finance: The Language Of Environmental Governance Through Unep Reports, Elizabeth Aiken
From Nature To Finance: The Language Of Environmental Governance Through Unep Reports, Elizabeth Aiken
IPHS 200: Programming Humanity
This project applies the computational text analysis methods from Franco Moretti and Dominique Pestre's "Bankspeak" to examine how the United Nations Environment Programme’s (UNEP) language has evolved in its annual reports from 1975 to 2024. Founded in 1972 as the UN’s main environmental authority, the UNEP plays a vital role in global discourse surrounding climate change and environmental challenges. Using Python-based computational methods to track word frequencies, semantic clusters, and grammatical patterns across five decades of annual reports, this analysis reveals three distinct linguistic periods. These periods include an early period (1975-1989), which emphasizes nature and scientific terms, a middle …
Emotional Stability And Deception In Multi-Agent Ai Negotiations Tracking Emotional Drift, Persuasion And Influence Using Valence-Arousal-Dominance, Godwin Idowu
IPHS 200: Programming Humanity
Today, large language models are often applied as smart agents who are capable of communicating, negotiating and making decisions together in the same space. In this work, I designed a test scenario where three different AI agents, having different goals, a cooperative helper, a competitive maximizer, and a deceptive agent, are sharing resources in a number of rounds. I would like to observe how the different goals of the agents affect the emotions of the agents. Each time the agents meet, I interpret their communications to assign them numerical values that measure the intensity of their perceived positivity, excitement, or …
Translating Economics For Stem Minds: An Ai Socratic Tutor That Speaks Their Language, Andre Mccloud
Translating Economics For Stem Minds: An Ai Socratic Tutor That Speaks Their Language, Andre Mccloud
IPHS 300: AI for Humanity
STEM students frequently struggle with economic thinking due to the particular framework of solving problems they acquire from their respective academic disciplines in undergraduate programs. This AI Socratic tutoring system is designed to detect and address discipline-specific misconceptions and gaps frequently holding students back in economics. Using Google’s Gemini Flash model, this tutor can give students hints and feedback and even reroute students thinking when they are confused. It does so by providing manageable explanations tailored to the individual student’s background across STEM fields like mathematics, physics, engineering, and other STEM fields. This system utilizes a customized Q&A bank pre-loaded …