Expressions of uncertainty in online science communication hinder information diffusion

Despite the importance of transparent communication of uncertainty surrounding scientific findings, there are concerns that communicating uncertainty might damage the public perception and dissemination of science. Yet, a lack of empirical research on the potential impact of uncertainty communication on the diffusion of scientific findings poses challenges in assessing such claims. We studied the effect of uncertainty in a field study and a controlled experiment. In Study 1, a natural language processing analysis of over 2 million social media (Twitter/X) messages about scientific findings revealed that more uncertain messages were shared less often. Study 2 replicated this pattern using an experimental design where participants were presented with large-language-model (LLM)-generated high- and low-uncertainty messages. These results underscore the role of uncertainty in the dissemination of scientific findings and inform the ongoing debates regarding the benefits and the risks of uncertainty in science communication.

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Publication Details

Journal
PNAS Nexus
Published
2024-10-01
DOI
https://doi.org/10.1093/pnasnexus/pgae439
Citations
4
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
4.53
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article

Expressions of uncertainty in online science communication hinder information diffusion

Olga Stavrova, Bennett Kleinberg, Anthony M. Evans, Milena Ivanović
4 citations
PNAS Nexus
Misinformation and Its Impacts
4.53
article

Expressions of uncertainty in online science communication hinder information diffusion

Olga Stavrova, Bennett Kleinberg, Anthony M. Evans, Milena Ivanović
article en
4 citations

Abstract

Despite the importance of transparent communication of uncertainty surrounding scientific findings, there are concerns that communicating uncertainty might damage the public perception and dissemination of science. Yet, a lack of empirical research on the potential impact of uncertainty communication on the diffusion of scientific findings poses challenges in assessing such claims. We studied the effect of uncertainty in a field study and a controlled experiment. In Study 1, a natural language processing analysis of over 2 million social media (Twitter/X) messages about scientific findings revealed that more uncertain messages were shared less often. Study 2 replicated this pattern using an experimental design where participants were presented with large-language-model (LLM)-generated high- and low-uncertainty messages. These results underscore the role of uncertainty in the dissemination of scientific findings and inform the ongoing debates regarding the benefits and the risks of uncertainty in science communication.

PNAS NexusVol. 3(10)
Tilburg University (NL), Allstate (United States) (US), Ameriprise Financial (United States) (US), Ipsos (Brazil) (BR), University College London (GB), University of Lübeck (DE)
Openalex Percentile: Top 5%
Misinformation and Its Impacts
4.53
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