From the 1 of 27 linked papers with an AI index.
27 papers
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
The paper critiques the Media Bias/Fact Check (MBFB) dataset, showing it lacks scientific rigor and arguing that researchers should stop using it for misinformation studies.
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-OtÃn, 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…
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…