Wong-Parodi, G and Bruine de Bruin, W orcid.org/0000-0002-1601-789X (2017) Informing public perceptions about climate change: A ‘mental models’ approach. Science and Engineering Ethics, 23 (5). pp. 1369-1386. ISSN 1353-3452
Abstract
As the specter of climate change looms on the horizon, people will face complex decisions about whether to support climate change policies and how to cope with climate change impacts on their lives. Without some grasp of the relevant science, they may find it hard to make informed decisions. Climate experts therefore face the ethical need to effectively communicate to non-expert audiences. Unfortunately, climate experts may inadvertently violate the maxims of effective communication, which require sharing communications that are truthful, brief, relevant, clear, and tested for effectiveness. Here, we discuss the ‘mental models’ approach towards developing communications, which aims to help experts to meet the maxims of effective communications, and to better inform the judgments and decisions of non-expert audiences.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © Springer Science+Business Media Dordrecht 2016. This is an author produced version of a paper published in Science and Engineering Ethics. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via https://dx.doi.org/10.1007/s11948-016-9816-8. |
Keywords: | Climate change communication; mental models approach; decision making |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Decision Research (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Aug 2016 09:22 |
Last Modified: | 07 Jan 2018 00:50 |
Published Version: | https://dx.doi.org/10.1007/s11948-016-9816-8 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/s11948-016-9816-8 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103738 |