Digital Humanities Commons^™

Digital Touchpoints: Investigating Contact Page Accessibility And Visual Authenticity Within Medical Tourism Health Websites, Alicia Mason, Elizabeth Spencer, Kristen Livingston, Treyton Meyers, Sakshi Bhati, Himika Akram

Faculty Submissions

This study examines two critical digital touchpoints on medical tourism provider (MTP) websites: (1) the accessibility of contact pages which often function as entry points for inquiries, scheduling, and pre-travel coordination, and (2) the authenticity of visual imagery used to shape expectations about care environments, personnel, and technological capacity. A sample of 105 MTPs across all six World Health Organization regions were analyzed using quantitative web accessibility testing and qualitative visual analysis. Results indicate pervasive accessibility errors on contact-page touchpoints and extensive reliance on inauthentic imagery to depict patients, providers, and medical technologies. Together, these practices may distort user expectations …

Words Of A Feather: Mapping Distributional Relationships In Biblical Texts*, Rhys Sharpe, Rhett Seitz, Harvey Alférez

Campus Research Month

Studying the meaning of Hebrew and Greek words, lexical analysis, is a key step of the exegetical study of biblical texts. Meaning is tightly linked to usage, so studying meaning requires a deep grasp of the usage patterns of the word in question and its related words. Mainstream digital platforms lack tools to search for related words. Because of this, biblical scholars must rely on limited references in existing studies or manual review of a word’s occurrences to trace these relationships. To address this gap, we introduce GraphLex, an interactive data visualization app built with Streamlit, Python, and Text-Fabric. GraphLex …

Crowdsourcing Literary Recovery Using Iterative Search Techniques, Jean Lee Cole

Feminist Pedagogy

The Literary Recovery assignment teaches students how to develop keyword search search techniques to locate literary works and authors in online databases and text repositories. Using the assignment in a collaborative course project provides the benefit of crowdsourcing recovery efforts for prolific authors or groups of authors.

Res Historica, Volume 5, Alpha Rho Epsilon Phi Alpha Theta, Lindsay Rae Smith Privette Phd

Res Historica

The 2026 journal of historical research by Anderson University students, Res Historica.

The editorial team for this edition of Res Historica was Dr. Lindsay Rae Smith Privette, Julia Ackerman, Callyn Wright, Logan Davis, and John Hinton. Cover art by Mary Beth Lee.

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

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

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

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

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

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

Instructions, Forms, and Toolkits

No abstract provided.

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

Introduction To Instutition Repository, Olivia Coyne

Staff

Created for promotion to LMU's Instutional Repository. Provides information and ways of submitting research.

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

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

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

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

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

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. …