3 citations · 8 across the 14 of their papers we have counts for
17 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…
Contextual trajectory and incremental contextual displacement: Towards using LLMs to understand dynamic, utterance-specific meaning construction
Grayson Wycliffe Storer, Julia Witte Zimmerman
Transformer-based large language models (LLMs) such as RoBERTa represent text using contextual word embeddings (CWEs), which alter the embeddings associated with each token based o…
LLMs are not stochastic parrots: Evidence for meaning-mediated abstraction from conlang-like tasks
Julia Witte Zimmerman, Calla G. Beauregard, Tabia Tanzin Prama +3
The strong version of the stochastic parrot argument claims that, although large language models (LLMs) may exceed rote regurgitation, they cannot move beyond statistical pattern m…
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…
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…
Simon's model does not produce Zipf's law: The fundamental rich-get-richer mechanism for any power-law size ranking
Pablo Rosillo-Rodes, Julia Witte Zimmerman, Laurent Hébert-Dufresne +1
Many complex systems are composed of disparate, interacting types of varying sizes: Species abundances in ecosystems, firm sizes in markets, city populations in countries, word cou…
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…
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…
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…
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…
Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning
Julia Witte Zimmerman, Denis Hudon, Kathryn Cramer +9
Tokenization is a necessary component within the current architecture of many language mod-els, including the transformer-based large language models (LLMs) of Generative AI, yet i…
Foregrounding Artist Opinions: A Survey Study on Transparency, Ownership, and Fairness in AI Generative Art
Juniper Lovato, Julia Zimmerman, Isabelle Smith +2
Generative AI tools are used to create art-like outputs and sometimes aid in the creative process. These tools have potential benefits for artists, but they also have the potential…
A blind spot for large language models: Supradiegetic linguistic information
Julia Witte Zimmerman, Denis Hudon, Kathryn Cramer +5
Large Language Models (LLMs) like ChatGPT reflect profound changes in the field of Artificial Intelligence, achieving a linguistic fluency that is impressively, even shockingly, hu…
An assessment of measuring local levels of homelessness through proxy social media signals
Yoshi Meke Bird, Sarah E. Grobe, Michael V. Arnold +5
Recent studies suggest social media activity can function as a proxy for measures of state-level public health, detectable through natural language processing. We present results o…
Ousiometrics: The essence of meaning aligns with a power-danger-structure framework instead of valence-arousal-dominance
P. S. Dodds, T. Alshaabi, M. I. Fudolig +7
From work emerging through the middle of the 20th century, the essence of meaning has become widely accepted as being described by the three orthogonal dimensions of valence, arous…