5 citations · 15 across the 31 of their papers we have counts for
33 papers
Localized, unstable, and entangled: Exploring `Us vs. Them' bias in Large Language Models
Tabia Tanzin Prama, Julia Witte Zimmerman, Christopher M. Danforth +1
Large language models (LLMs) exhibit us-vs.-them bias: A behavioral asymmetry in which prompts framed around an ingroup (``we''/``us'') receive systematically more positive continu…
Self-reported archetypes and behavioral failures in Large Language Models
Tabia Tanzin Prama, Calla Glavin Beauregard, Christopher M. Danforth +1
Every large language model (LLM) has behavioral traits and moral preferences that comprise its character. Whether by design or as an emergent property of training, these systems ex…
Archetypometrics of 'Friends'
Shun Zhang, Tabia Tanzin Prama, Christopher M. Danforth +1
Storytelling inherently revolves around characters. Using the television sitcom `Friends' as a case study, we investigate how well archetype vectors capture both individual charact…
Stop using Media Bias/Fact Check in research
Alejandro Javier Ruiz Iglesias, Julia Witte Zimmerman, Ashley M. A. Fehr +2
Media Bias/Fact Check (MBFC) purports to quantify the bias, credibility, and factuality of reporting for roughly 10,000 media sources, and the resulting data is commonly used in mi…
The queer Hero versus the Fool bias of the queer trait: An archetypometric analysis of the collective portrayal of queerness in fictional stories
Ashley M. A. Fehr, Calla Glavin Beauregard, Julia Witte Zimmerman +4
Visibility in media is pivotal for identity development and for broadening societal views of gender and sexuality. Queer representation has increased in recent years, yet damaging…
Dynastic dynamics: Modelling powerful naming choices with stochastic prestige
Pablo Rosillo-Rodes, Santiago Lamata-Otín, David Soriano-Paños +2
The naming choices of powerful rulers encode millennia of cultural, political, and institutional influences. Consequently, the long-term onomastic dynamics within some of the most…
Buffy versus Bella: An archetypometric analysis and comparison
Calla Glavin Beauregard, Julia Witte Zimmerman, Ashley M. A. Fehr +6
Fictional stories and characters embody and encode social norms, and their study is a powerful tool through which to understand culture and society. Vampire stories and folklore, i…
Narrative Structure in Tropes: A Computational Analysis of `Friends'
Shun Zhang, Tabia Tanzin Prama, Christopher M. Danforth +1
Tropes are recurring narrative devices in television and film. We carry out a computational analysis of tropes in the sitcom Friends, using human-curated trope annotations from TVT…
Gender Disparities in LLM-Based Intimate Partner Violence Detection
Tabia Tanzin Prama, Mikaela Irene Fudolig, Abigail M. Crocker +2
Intimate Partner Violence (IPV) is a major public health concern, and large language models (LLMs) are increasingly used for support and information-seeking in sensitive domains. W…
A Formative Study of Brief Affective Text as a Complement to Wearable Sensing for Longitudinal Student Health Monitoring
Tamunotonye Harry, Johanna Hidalgo, Matthew Price +7
Wearable devices capture physiological and behavioral data with increasing fidelity, but the psychological context shaping these outcomes is difficult to recover from sensor data a…
Taste for Privacy: How Context, Identity, and Lived-Experience Shape Information Sharing Preferences
Juniper Lovato, Laurent Hébert-Dufresne, Mohsen Ghasemizade +6
Privacy preferences are not fixed individual traits, they depend on context and lived experiences. In this study, we analyze 2,912 survey responses from 782 college students collec…
Archetypes and gender in fiction: A data-driven mapping of gender stereotypes in stories
Calla Glavin Beauregard, Julia Witte Zimmerman, Ashley M. A. Fehr +3
Fictional character representations reflect social norms and biases. For example, women are relatively underrepresented in television and film, irrespective of genre, and are frequ…
Global brain drain and gain in high-potential student mobility
Tabia Tanzin Pramaa, Christopher M. Danfortha, Peter Sheridan Dodds
The mobility of high-potential individuals, particularly graduates from elite academic institutions, serves as a critical driver of global innovation and economic development. Desp…
False memories to fake news: The evolution of the term "misinformation" in academic literature
Alejandro Javier Ruiz Iglesias, Danny Benett, Julia Witte Zimmerman +2
Since 2016, the term "misinformation" has become associated with a scientific paradigm that studies, at its core, people making, reading, and sharing false statements, usually on s…
Identifying Body Composition Measures That Correlate with Self-Compassion and Social Support
Enerson Poon, Mikaela Irene Fudolig, Johanna E. Hidalgo +8
This study explores the relationship between body composition metrics, self-compassion, and social support among college students. Using seasonal body composition data from the InB…
Us-vs-Them bias in Large Language Models
Tabia Tanzin Prama, Julia Witte Zimmerman, Christopher M. Danforth +1
This study investigates ``us versus them'' bias, as described by Social Identity Theory, in large language models (LLMs) under both default and persona-conditioned settings across…
Statistical laws and linguistics differ in naturalistic video and fictional conversations
Ashley M. A. Fehr, Calla G. Beauregard, Julia Witte Zimmerman +4
Conversation is a cornerstone of social connection and is linked to well-being outcomes. Conversations vary widely in type with some portion generating complex, dynamic stories. On…
Misalignment of LLM-Generated Personas with Human Perceptions in Low-Resource Settings
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
Recent advances enable Large Language Models (LLMs) to generate AI personas, yet their lack of deep contextual, cultural, and emotional understanding poses a significant limitation…
LLMs for Low-Resource Dialect Translation Using Context-Aware Prompting: A Case Study on Sylheti
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
Large Language Models (LLMs) have demonstrated strong translation abilities through prompting, even without task-specific training. However, their effectiveness in dialectal and lo…
Complete asymptotic type-token relationship for growing complex systems with inverse power-law count rankings
Pablo Rosillo-Rodes, Laurent Hébert-Dufresne, Peter Sheridan Dodds
The growth dynamics of complex systems often exhibit statistical regularities involving power-law relationships. For real finite complex systems formed by countable tokens (animals…
Detecting sub-populations in online health communities: A mixed-methods exploration of breastfeeding messages in BabyCenter Birth Clubs
Calla Beauregard, Parisa Suchdev, Ashley M. A. Fehr +7
Parental stress is a nationwide health crisis according to the U.S. Surgeon General's 2024 advisory. To allay stress, expecting parents seek advice and share experiences in a varie…
Story and essential meaning dynamics in Bangladesh's July 2024 Student-People's Uprising
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
News media serves a crucial role in disseminating information and shaping public perception, especially during periods of political unrest. Using over 50,0000 YouTube comments on n…
BanglaMATH : A Bangla benchmark dataset for testing LLM mathematical reasoning at grades 6, 7, and 8
Tabia Tanzin Prama, Christopher M. Danforth, Peter Sheridan Dodds
Large Language Models (LLMs) have tremendous potential to play a key role in supporting mathematical reasoning, with growing use in education and AI research. However, most existin…
Aim High, Stay Private: Differentially Private Synthetic Data Enables Public Release of Behavioral Health Information with High Utility
Mohsen Ghasemizade, Juniper Lovato, Christopher M. Danforth +5
Sharing health and behavioral data raises significant privacy concerns, as conventional de-identification methods are susceptible to privacy attacks. Differential Privacy (DP) prov…