ArticlePsychological reports2022
Analyzing the Perceived Utility of Covid-19 Countermeasures: The Role of Pronominalization, Moral Foundations, Moral Disengagement, Fake News Embracing, and Health Anxiety.
Article in Psychological reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- What leads to vaccine compliance? Evidence from healthcare workers.Journal of public health research · 2026Article
- I want to be safe: understanding the main drivers behind vaccination choice throughout the pandemic.BMC public health · 2024Article
- Incivility in COVID-19 Vaccine Mandate Discourse and Moral Foundations: Natural Language Processing Approach.JMIR formative research · 2023Article
- Exploring the Relationship between COVID-19 Vaccine Refusal and Belief in Fake News and Conspiracy Theories: A Nationwide Cross-Sectional Study in Italy.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An online survey (N = 210) is presented on how the perceived utility of correct and exaggerated countermeasures against Covid-19 is affected by different pronominalization strategies (impersonal form, you, we). In evaluating the pronominalization effect, we have statistically controlled for the roles of several personal characteristics: Moral Disengagement, Moral Foundations, Health Anxiety, and Embracing of Fake News. Results indicate that, net of personal proclivities, the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.