The references 7, 16, 49, 62, 66 and 69 were incorrectly written. Please see the correct references 7, 16, 49, 62, 66 and 69 below.
7. Klein-Avraham I, Dabran-Zivan S, Baram-Tsabari A. Do you know sometimes the information is wrong? Knowledge about and usage of generative artificial intelligence in the early adoption phase [presentation]. 26th Annual Conference of the ISCA; 2024; Herzliya, Israel.
16. Rozenblum Y, Dalyot K, Baram-Tsabari A. People who have more science education rely less on misinformation—even if they do not necessarily follow the health recommendations. J Res Sci Teach. 2025; 62(3):825−68
49. Greussing E, Guenther L, Baram-Tsabari A, Dabran-Zivan S, Jonas E, Klein-Avraham I, et al. Mapping cross-national patterns: The use of generative AI in science-related information retrieval across seven countries [accepted presentation]. Public Communication of Science and Technology (PCST) China Symposium; 2024 Oct; Suzhou, China.
62. Klein-Avraham I, Greussing E, Taddicken M, Dabran-Zivan S, Jonas E, Baram-Tsabari A. How to make sense of generative AI as a science communication researcher? A conceptual framework in the context of critical engagement with scientific information. JCOM. 2024;23(06):A05.
66. Klein-Avraham I, Baram-Tsabari A. Less epistemic knowledge about AI is associated with greater trust in AI and greater use of AI-generated information [conference presentation]. 75th Annual International Communication Association (ICA) Conference; 2025; Denver, CO, USA.
69. Feinstein NW, Baram-Tsabari A. Epistemic networks and the social nature of public engagement with science. J Res Sci Teach. 2024;61(9):2049–2068.
Reference
Citation: Dabran-Zivan S, Klein-Avraham I, Baram-Tsabari A (2026) Correction: When the source is a bot: How people adapt their evaluation strategies to assess AI-generated content. PLoS One 21(4): e0348712. https://doi.org/10.1371/journal.pone.0348712
Published: April 30, 2026
Copyright: © 2026 Dabran-Zivan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.