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Inbal Klein-Avraham

As seen in: PLOS ONE
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Correction: When the source is a bot: How people adapt their evaluation strategies to assess AI-generated content

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By Shakked Dabran-Zivan, Inbal Klein-Avraham, Ayelet Baram-Tsabari
| PLOS ONE
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.
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When the source is a bot: How people adapt their evaluation strategies to assess AI-generated content

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By Shakked Dabran-Zivan, Inbal Klein-Avraham, Ayelet Baram-Tsabari
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Dabran-Zivan S, Klein-Avraham I, Baram-Tsabari A (2026) When the source is a bot: How people adapt their evaluation strategies to assess AI-generated content. PLoS One 21(3): e0345300. https://doi.org/10.1371/journal.pone.0345300 Editor: Janet E.
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Klein-Avraham | How to make sense of generative AI as a science communication researcher? A conceptual framework in the context of critical engagement with scientific information | Journal of Science Communication

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By Inbal Klein-Avraham, Esther Greussing, Monika Taddicken, Shakked Dabran-Zivan
| jcom.sissa.it
1 Rationale The public introduction of ChatGPT and other generative artificial intelligence (GenAI) since that time has marked a significant transformation in mediated communication [Hepp et al., ; Schäfer, 2023]. GenAI is “a class of machine learning technology that learns to generate new data from training data” [Houde et al., , p. 1].
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