Ai Disclosure: Research Area — Prolific Citations Library

Discover 3 peer-reviewed studies in Ai Disclosure (2024–2025). Explore research findings powered by Prolific's diverse participant panel.

This page lists 3 peer-reviewed papers in the research area of Ai Disclosure in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (3 of 3)

Made with AI: Consumer Engagement with Social Media Containing AI Disclosures

Authors: S Carney, I Riveros, S Tully

Year: 2025

Published in: Available at SSRN 4988760, 2025 - papers.ssrn.com

Institution: University of Southern California

Research Area: Consumer Engagement with AI Disclosures, Social Media Marketing, Social Psychology

Discipline: Social Science

AI-generated content disclosures on social media reduce consumer engagement primarily due to a decrease in parasocial connections, as users perceive creators to exert less effort; signaling greater effort can mitigate this effect.

Methods: Analysis of TikTok engagement data following AIGC disclosure implementation, supplemented by six preregistered experiments.

Key Findings: Impact of AIGC disclosures on consumer engagement and the mediating role of parasocial connections.

Citations: 6
Locating Risk: Task Designers and the Challenge of Risk Disclosure in RAI Content Work

Authors: A Qian, R Shaw, L Dabbish, J Suh, H Shen

Year: 2025

Published in: arXiv preprint arXiv ..., 2025 - arxiv.org

Institution: Carnegie Mellon University, University of Pittsburgh, University of Utah, Yale School of Medicine, Yale University

Research Area: Responsible AI, Content Moderation, Risk Disclosure, Worker Well-being in Human-Computer Interaction (HCI).

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

The paper examines how task designers approach well-being risk disclosure in Responsible AI (RAI) content work, highlighting a need for better frameworks to communicate such risks effectively.

Methods: Interviews were conducted with 23 task designers from academic and industry sectors to gather insights on risk recognition, interpretation, and communication practices.

Key Findings: How task designers recognize, interpret, and communicate well-being risks in RAI content work.

Citations: 1

Sample Size: 23
Underreporting of AI use: The role of social desirability bias

Authors: Y Ling, A Kale, A Imas

Year: 2024

Published in: Available at SSRN 5464215, 2025 - papers.ssrn.com

Institution: University of Chicago

Research Area: Behavioral Economics, AI Adoption, AI Disclosure

Discipline: Behavioral Economics

Citations: 7