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20212026
most citedForegrounding Artist Opinions: A Survey Study on Transparency, Ownership, and Fairness in AI Generative Art

3 citations · 8 across the 14 of their papers we have counts for

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9 papers · 1 filter

physics.soc-ph2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.SI2026

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…

cs.CY2026

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…

cs.CY2026

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…

physics.soc-ph2026

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…

cs.CY2026

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…

cs.SI2026

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…