Authors: M Groh, A Sankaranarayanan, N Singh, DY Kim
Year: 2025
Published in: Nature ..., 2024 - nature.com
Institution: Northwestern University, Massachusetts Institute of Technology
Research Area: Deepfakes, Media Forensics, Human Perception of AI-Generated Content, Political Communication
Discipline: Computational Social Science
Humans are better at detecting deepfake political speeches using audio-visual cues than relying on text alone; state-of-the-art text-to-speech audio makes deepfakes harder to discern.
Methods: Five pre-registered randomized experiments with varied base rates of misinformation, audio sources, question framings, and media modalities were conducted.
Key Findings: Human accuracy in discerning real political speeches from deepfakes across media formats and contextual variables.
DOI: https://doi.org/10.1038/s41467-024-51998-z
Citations: 63
Sample Size: 2215
Authors: T Mendel, N Singh, DM Mann, B Wiesenfeld
Year: 2025
Published in: Journal of medical ..., 2025 - jmir.org
Institution: The City University of New York, George Washington University, New York University
Research Area: LLMs in Digital Health, Health Queries, User Attitudes
Discipline: Digital Health
Laypeople primarily use search engines over large language models (LLMs) for health queries, perceiving LLMs as less useful but less biased and more human-like while exhibiting no significant difference in trust or ease of use.
Methods: A screening survey followed by logistic regression analysis and a follow-up survey; comparisons were performed using ANOVA, Tukey post hoc tests, and paired-sample Wilcoxon tests.
Key Findings: Demographics and behaviors of LLM and search engine users for health queries, perceived usefulness, ease of use, trustworthiness, bias, and anthropomorphism.
Citations: 21
Sample Size: 2002