Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2024 Aug 26;9:55. doi: 10.1186/s41235-024-00585-3

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

Fig. 4 — Test response probabilities for detected corrections conditionalized on retrieval of fake news and remembering corrections. The top row shows the Experiment 1 probabilities of correct recognition of real news conditionalized on fake news recognition (A) and false recognition of fake news conditionalized on remembering corrections (B). The bottom row shows the Experiment 2 probabilities of correct recall of real news conditionalized on fake news recall (C) and intrusions of fake news conditionalized on remembering corrections (D). Points are estimates derived from mixed effects models with 95% confidence intervals (error bars). Error bars are not visible when they are smaller than point diameters. The point areas and corresponding percentages indicate the observations contributing to each cell. Percentages that do not sum to 100% within age group reflect rounding error