G
Gabriel Recchia
Researcher at University of Cambridge
Publications - 48
Citations - 3105
Gabriel Recchia is an academic researcher from University of Cambridge. The author has contributed to research in topics: Semantic similarity & Risk perception. The author has an hindex of 15, co-authored 44 publications receiving 1580 citations. Previous affiliations of Gabriel Recchia include University of Memphis & Indiana University.
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Journal ArticleDOI
Risk perceptions of COVID-19 around the world
Sarah Dryhurst,Claudia R. Schneider,John R. Kerr,Alexandra L. J. Freeman,Gabriel Recchia,Anne Marthe van der Bles,David Spiegelhalter,Sander van der Linden +7 more
TL;DR: It is found that although levels of concern are relatively high, they are highest in the UK compared to all other sampled countries, and risk perception correlated significantly with reported adoption of preventative health behaviors in all ten countries.
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Susceptibility to misinformation about COVID-19 around the world
Jon Roozenbeek,Claudia R. Schneider,Sarah Dryhurst,John R. Kerr,Alexandra L. J. Freeman,Gabriel Recchia,Anne Marthe van der Bles,Anne Marthe van der Bles,Sander van der Linden +8 more
TL;DR: A clear link between susceptibility to misinformation and both vaccine hesitancy and a reduced likelihood to comply with health guidance measures is demonstrated, and interventions which aim to improve critical thinking and trust in science may be a promising avenue for future research.
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More data trumps smarter algorithms: comparing pointwise mutual information with latent semantic analysis.
Gabriel Recchia,Michael N. Jones +1 more
TL;DR: This work evaluates a simple metric of pointwise mutual information and demonstrates that this metric benefits from training on extremely large amounts of data and correlates more closely with human semantic similarity ratings than do publicly available implementations of several more complex models.
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COVID-19 risk perception: a longitudinal analysis of its predictors and associations with health protective behaviours in the United Kingdom
Claudia R. Schneider,Sarah Dryhurst,John R. Kerr,Alexandra L. J. Freeman,Gabriel Recchia,David Spiegelhalter,Sander van der Linden +6 more
TL;DR: In this article, the authors present results from five cross-sectional surveys on public risk perception of COVID-19 and its association with health protective behaviours in the UK over a 10-month period.
Journal ArticleDOI
The Shape of Action
TL;DR: A detailed comparison of the joint time courses of these variables showed that looking time and physical change were locally maximal at breakpoints and greater for higher level action units than for lower level units, showing that breakpoints are distinct even out of context.