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. 2022 Jun 15;13:912397. doi: 10.3389/fpsyt.2022.912397

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Copyright © 2022 Piksa, Noworyta, Piasecki, Gwiazdzinski, Gundersen, Kunst and Rygula.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Division based on declared engagement with true and fake news. (A) Comparison of the declared average engagement with true news () with the average declared engagement with fake news () in groups that were differentiated based on the average low (N = 94) and high (N = 90) declared engagement with true news (). (B) Comparison of the average declared engagement with fake news () with the average declared engagement with true news () in groups that were differentiated based on the average low (N = 93) and high (N = 91) engagement with fake news (). The data are presented as AVG engagement ratings ± SEMs.

Inline graphic — Division based on declared engagement with true and fake news. (A) Comparison of the declared average engagement with true news () with the average declared engagement with fake news () in groups that were differentiated based on the average low (N = 94) and high (N = 90) declared engagement with true news (). (B) Comparison of the average declared engagement with fake news () with the average declared engagement with true news () in groups that were differentiated based on the average low (N = 93) and high (N = 91) engagement with fake news (). The data are presented as AVG engagement ratings ± SEMs.