SciPost Submission Page
Facilitating better sharing quality of COVID-related headlines
by Irene Sophia Plank
Submission summary
| Authors (as registered SciPost users): | Irene Sophia Plank |
| Submission information | |
|---|---|
| Preprint Link: | scipost_202508_00069v3 (pdf) |
| Date submitted: | Jan. 6, 2026, 3:28 a.m. |
| Submitted by: | Irene Sophia Plank |
| Submitted to: | Journal of Robustness Reports |
| Ontological classification | |
|---|---|
| Academic field: | Multidisciplinary |
| Specialties: |
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Abstract
Including accuracy prompts and digital literacy tips similarly decrease the likelihood to share COVID-related headlines, especially if they are false.
Author comments upon resubmission
Thank you to the editor and the reviewers for reading and assessing the revised manuscript. I addressed all remaining suggestions.
List of changes
- clarification of exclusion criteria for data of participant ("who chose the same rating for all headlines")
- fixing of typo ("with a cumulative Bayesian...")
- clarification of reporting of estimates and posterior probabilities at the end of the Methods section ("Estimates together with posterior probabilities of this estimate being > 0 are reported for each contrast.")
- separation of the figure into two subfigures, one showing response frequencies and one showing means
Current status:
In voting