Impact of Artificial Intelligence-Generated Content Labels On Perceived Accuracy, Message Credibility, and Sharing Intentions for Misinformation: Web-Based, Randomized, Controlled Experiment.

ABSTRACT:

Background

The proliferation of generative artificial intelligence (AI), such as ChatGPT, has added complexity and richness to the virtual environment by increasing the presence of AI-generated content (AIGC). Although social media platforms such as TikTok have begun labeling AIGC to facilitate the ability for users to distinguish it from human-generated content, little research has been performed to examine the effect of these AIGC labels.

Objective

This study investigated the impact of AIGC labels on perceived accuracy, message credibility, and sharing intention for misinformation through a web-based experimental design, aiming to refine the strategic application of AIGC labels.

Methods

The study conducted a 2×2×2 mixed experimental design, using the AIGC labels (pr

SUBMITTER: Li F 

PROVIDER: S-EPMC11892328 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature