Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/10292
Title: Explanatory Refutation Texts Increase Epistemic Trust in Climate Scientists and Anthropogenic Global Warming Acceptance
Authors: Senthilkumaran, Abhirami
Velautham, Leela
Ranney, Michael Andrew
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Senthilkumaran, A., Velautham, L., & Ranney, M. A. (2023). Explanatory refutation texts increase epistemic trust in climate scientists and anthropogenic global warming acceptance. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 513-520). International Society of the Learning Sciences.
Abstract: Trust is fundamental to the non-experiential learning of complex scientific knowledge that informs societal decision-making (e.g., about climate change). Global warming (GW) beliefs and attitudes often reflect one’s trust in climate scientists as reliable information sources, so fostering GW knowledge includes addressing misconceptions that can inhibit such trust. Using a pretest-posttest control group design (with an extra posttest-only treatment group that eliminated experimenter-demand concerns), we herein showed that two (long/short) brief explanatory, persuasive, refutation texts addressing climatologists’ research practices increased learners’ (a) trust in climate scientists (and scientists overall) and (b) acceptance that anthropogenic GW is occurring and concerning. Our experiment’s results support prior findings that people revise their GW beliefs––without polarization––upon encountering crucial, valid, and germane, information. These findings expand empirical evidence demonstrating the utility of directly confronting epistemic misconceptions (e.g., about scientists’––especially climatologists’—reward structures) using explanatory, persuasive, refutation texts.
Description: Long Paper
URI: https://doi.org/10.22318/icls2023.259798
https://repository.isls.org//handle/1/10292
Appears in Collections:ISLS Annual Meeting 2023

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