695 8 archive 8084 disk0/00/00/06/95 2026-07-02 14:26:20 2026-07-02 14:26:20 2026-07-02 14:26:20 data_collection show de Vos Maura mde-vos1@uclan.ac.uk Iordanou Kalypso KIordanou@uclan.ac.uk https://orcid.org/0000-0001-5930-9393 Chinn Clark Data Sets- How Corrections and Epistemic Explanations Impact the Public’s Trust in Science Journalism pub C880 P300 2023sub_P Public trust in science; epistemic trustworthiness; science journalists These data files accompany a study examining the impact of corrections and epistemic explanations on trust in the author, article, and journalism in authentic newspaper articles on scientific topics. Participants (N=178) were randomly assigned to one of four groups in a 2x2 factorial design, varying in the presentation of corrections and epistemic explanations. Data was collected online through Qualtrics. The files include: (a) the raw dataset (.csv), (b) the cleaned dataset (.sav), (c) the analysis output (.spv), and (d) thematic analysis of open-ended responses (.xlsx). 2024-11-14 published Figshare https://doi.org/10.6084/m9.figshare.27740901 collection rdmsupport@lancashire.ac.uk PhD Research Scholar in Psychology de Vos Maura MDe-Vos1@uclan.ac.uk Data Sets- How Corrections and Epistemic Explanations Impact the Public’s Trust in Science Journalism ds_ext DOI https://doi.org/10.6084/m9.figshare.27740901 Explain Yourself: How Corrections and Epistemic Explanations Impact the Public’s Trust in Science Reporting pub DOI https://www.doi.org/10.1080/17512786.2026.2693188 https://knowledge.lancashire.ac.uk/id/eprint/59608/