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Articles 1 - 30 of 112912
Full-Text Articles in Entire DC Network
Pvc-Lot-015-E-011, Russell Smith
Letter From Lucius G. Peck, Lucius G. Peck
Kenyon Collegian - September 3, 2026
Letter From The Professor
Scientific Kenyon: The Neuroscience Edition
No abstract provided.
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 …
Kenyon Collegiate - May 1, 2026
Kenyon Collegian - April 30, 2026
Kenyon Collegian - April 23, 2026
Kenyon Collegiate - April 17, 2026
Kenyon Collegian - April 16, 2026
Kenyon Collegian - April 9, 2026
Kenyon Collegiate - April 6, 2026
Kenyon Collegian - April 2, 2026
Kenyon Alumni Magazine - Spring/Summer 2026
Kenyon Alumni Magazine - Spring/Summer 2026
Kenyon College Alumni Bulletin
No abstract provided.
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
Chalmers Library Research Award Winner 2026, Cooper Bertschi
Chalmers Library Research Award Winner 2026, Cooper Bertschi
Chalmers Library Research Award
No abstract provided.
Kenyon Collegiate - Special Issue 2026
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 …