Mit Media Lab: Research Institution — Prolific Citations Library

Browse 4 peer-reviewed papers from Mit Media Lab spanning AI Ethics, Healthcare (2022–2025). Research powered by Prolific's high-quality participant data.

This page lists 4 peer-reviewed papers from researchers at Mit Media Lab in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (4 of 4)

People Overtrust AI-Generated Medical Advice despite Low Accuracy

Authors: S Shekar, P Pataranutaporn, C Sarabu, GA Cecchi

Year: 2025

Published in: NEJM AI, 2025 - ai.nejm.org

Institution: MIT Media Lab, IBM Research, Stanford University, Massachusetts Institute of Technology

Research Area: AI Ethics, Healthcare, Patient Trust, Medical Misinformation

Discipline: Artificial Intelligence, Human-Computer Interaction (HCI), AI Ethics

This paper discusses a study by MIT researchers detailing patient trust in AI-generated medical advice, even when that advice is incorrect, raising concerns about misinformation in healthcare.

Citations: 19
Insights from an experiment crowdsourcing data from thousands of US Amazon users: The importance of transparency, money, and data use

Authors: A Berke, R Mahari, A Pentland, K Larson

Year: 2024

Published in: Proceedings of the ACM ..., 2024 - dl.acm.org

Institution: Stanford's CodeX Center, Harvard Law School, MIT Media Lab, Stanford Institute for Human-Centered AI, The Larson Institute, Massachusetts Institute of Technology, Stanford University

Research Area: Crowdsourcing, Transparency, Human-Computer Interaction (HCI) in Social Science Research

Discipline: Computational Social Science, Human-Computer Interaction (HCI)

DOI: https://dl.acm.org/doi/abs/10.1145/3687005

Citations: 9
Super-intelligence or Superstition? Exploring Psychological Factors Underlying Unwarranted Belief in AI Predictions

Authors: Eunhae Lee, Pat Pataranutaporn, Judith Amores, Pattie Maes

Year: 2024

Published in: ArXiv

Institution: Massachusetts Institute of Technology, Microsoft Research, MIT Media Lab

Research Area: Human-AI Interaction, Cognitive Biases, Psychological Factors in AI Adoption, Trust in AI, AI Credibility

Discipline: Psychology, Artificial Intelligence
How many others have shared this? Experimentally investigating the effects of social cues on engagement, misinformation, and unpredictability on social media

Authors: Z Epstein, H Lin, G Pennycook, D Rand

Year: 2022

Published in: arXiv preprint arXiv:2207.07562, 2022 - arxiv.org

Institution: MIT Media Lab, University of Regina, Sloan School of Management, Massachusetts Institute of Technology

Research Area: Social media, Misinformation, Human-Computer Interaction (HCI)

Discipline: Computational Social Science

DOI: https://doi.org/10.48550/arXiv.2207.07562

Citations: 32