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Right-wing authoritarianism and social dominance orientation predict rejection of science and scientists

Previous research has highlighted how ideological factors such as political self-identification, religiosity and conspiracy thinking influence our beliefs about scientific issues such as climate change and vaccination. Across three studies (combined N = 9,022) we expand on this line of inquiry to show for the first time that the ideological attitudes relating to authoritarianism and group-based dominance predict disagreement with the scientific consensus in several scientific domains. We show these effects are almost entirely mediated by varying combinations of ideological (political ideology, religiosity, free-market endorsement, conspiracy thinking) and science-specific (scientific knowledge, trust in scientists) constructs, depending on the scientific issue in question. Importantly, a general distrust of science and scientists emerges as the most consistent mediator across different scientific domains. We find that, consistent with previous research, the ideological roots of rejection of science vary across scientific issues. However, we also show that these roots may share a common origin in ideological attitudes regarding authority and equality.
- University of Cambridge United Kingdom
- Victoria University of Wellington New Zealand
- Victoria University of Wellington New Zealand
trust in science, vaccination, scientists, SDO, climate change, ideological attitudes, rejection of science, RWA, genetic modification
trust in science, vaccination, scientists, SDO, climate change, ideological attitudes, rejection of science, RWA, genetic modification
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).42 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
