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Neutralizing misinformation through inoculation: Exposing misleading argumentation techniques reduces their influence

Authors: Stephan Lewandowsky; Stephan Lewandowsky; John Cook; John Cook; Ullrich K. H. Ecker;

Neutralizing misinformation through inoculation: Exposing misleading argumentation techniques reduces their influence

Abstract

Misinformation can undermine a well-functioning democracy. For example, public misconceptions about climate change can lead to lowered acceptance of the reality of climate change and lowered support for mitigation policies. This study experimentally explored the impact of misinformation about climate change and tested several pre-emptive interventions designed to reduce the influence of misinformation. We found that false-balance media coverage (giving contrarian views equal voice with climate scientists) lowered perceived consensus overall, although the effect was greater among free-market supporters. Likewise, misinformation that confuses people about the level of scientific agreement regarding anthropogenic global warming (AGW) had a polarizing effect, with free-market supporters reducing their acceptance of AGW and those with low free-market support increasing their acceptance of AGW. However, we found that inoculating messages that (1) explain the flawed argumentation technique used in the misinformation or that (2) highlight the scientific consensus on climate change were effective in neutralizing those adverse effects of misinformation. We recommend that climate communication messages should take into account ways in which scientific content can be distorted, and include pre-emptive inoculation messages.

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United States, United Kingdom
Related Organizations
Keywords

Information Services, /dk/atira/pure/core/keywords/tedcog, 791, Science, Climate Change, name=Memory, Q, R, /dk/atira/pure/core/keywords/psyc_memory; name=Memory, TeDCog, Memory, /dk/atira/pure/core/keywords/tedcog; name=TeDCog, Medicine, name=TeDCog, /dk/atira/pure/core/keywords/psyc_memory, Research Article

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
567
Top 0.1%
Top 1%
Top 0.1%
3
15
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