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Cited by 326

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Scientists’ Prioritization of Communication Objectives for Public Engagement

Open access
Dudo, Anthony, Besley, John C.·2016·PLOS ONE

Abstract

Amid calls from scientific leaders for their colleagues to become more effective public communicators, this study examines the objectives that scientists' report drive their public engagement behaviors. We explore how scientists evaluate five specific communication objectives, which include informing the public about science, exciting the public about science, strengthening the public's trust in science, tailoring messages about science, and defending science from misinformation. We use insights from extant research, the theory of planned behavior, and procedural justice theory to identify likely predictors of scientists' views about these communication objectives. Results show that scientists most prioritize communication designed to defend science from misinformation and educate the public about science, and least prioritize communication that seeks to build trust and establish resonance with the public. Regression analyses reveal factors associated with scientists who prioritize each of the five specific communication objectives. Our findings highlight the need for communication trainers to help scientists select specific communication objectives for particular contexts and audiences.

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Metadata

Authors
Dudo, A., & Besley, J. C.
Venue
PLOS ONE
Published
2016-02-25
Volume
11
Issue
2
Pages
e0148867
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2285169987
Cited by
326
References
60
FWCI
45.07
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Scientists’ Prioritization of Communication Objectives for Public Engagement. https://app.cochat.ai/papers/10.1371/journal.pone.0148867
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Dudo, A., & Besley, J. C. (2016). Scientists’ Prioritization of Communication Objectives for Public Engagement. PLOS ONE. https://doi.org/10.1371/journal.pone.0148867

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.