21 citations · 26 across the 4 of their papers we have counts for
4 papers
Should you use LLMs to simulate opinions? Quality checks for early-stage deliberation
Terrence Neumann, Maria De-Arteaga, Sina Fazelpour
The emergent capabilities of large language models (LLMs) have prompted interest in using them as surrogates for human subjects in opinion surveys. However, prior evaluations of LL…
PRISM: A Design Framework for Open-Source Foundation Model Safety
Terrence Neumann, Bryan Jones
The rapid advancement of open-source foundation models has brought transparency and accessibility to this groundbreaking technology. However, this openness has also enabled the dev…
Diverse, but Divisive: LLMs Can Exaggerate Gender Differences in Opinion Related to Harms of Misinformation
Terrence Neumann, Sooyong Lee, Maria De-Arteaga +2
The pervasive spread of misinformation and disinformation poses a significant threat to society. Professional fact-checkers play a key role in addressing this threat, but the vast…
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms
Terrence Neumann, Maria De-Arteaga, Sina Fazelpour
Faced with the scale and surge of misinformation on social media, many platforms and fact-checking organizations have turned to algorithms for automating key parts of misinformatio…