Browsing by Author "Ling M"
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- ItemAssociations between conspiracism and the rejection of scientific innovations.(2021-10) Marques MD; Kerr JR; Williams MN; Ling M; McLennan JPublic opinion regarding scientific developments such as genetically modified food can be mixed. We suggest such science-based technological innovations are rejected by some because they are perceived to be advanced as part of a conspiracy. In nationally representative samples (Australia n = 1011; New Zealand n = 754), we report the associations between five conspiracism facets and anti-science attitudes. Results indicate broad public opposition to genetically modified food and use of nuclear power, but more acceptance of renewable power, potable recycled water, 5G networks, and childhood vaccinations. There were small to moderate associations between the rejection of scientific innovations and conspiracism. Multivariate models estimating unique associations of conspiracism facets with anti-science attitudes suggested several novel and important relationships, particularly for childhood vaccination, genetically modified food, and 5G networks. We discuss the importance of examining factors such as conspiracism in understanding what may motivate and sustain rejection of scientific evidence-based claims about socially contentious technological innovations.
- ItemAustralasian Public Awareness and Belief in Conspiracy Theories: Motivational Correlates(2022-02-01) Marques MD; Ling M; Williams MN; Kerr JR; McLennan JBelief in conspiracies is not restricted to the fringe dwellers of society. International research suggests that such beliefs are quite common and that conspiracy theories may serve three basic psychological motives (i.e., epistemic, existential, and relational) for individuals. Yet, little is known about conspiracy theory awareness or belief in Australasia. We report the first large systematic investigation of system-justifying motives using two nationally representative samples of Australians (n = 1011) and New Zealanders (n = 754). Our findings show that almost all are aware of local and international conspiracies, the majority endorse one or more, and that all three psychological motives consistently relate to conspiracy belief, but not to awareness. In a series of hierarchical multiple regressions, we find that relational (i.e., increased anomie and disillusionment with the government) and existential motives (i.e., less trust in others and increased religiosity) are uniquely and relatively more important than epistemic needs (i.e., decreased analytic thinking) as predictors of increased local and international conspiracy belief. Findings are discussed in terms of the importance of understanding conspiracy theories as an ideological belief system that may function to serve underlying psychological motives.
- ItemWas Phar Lap killed by gangsters? New research shows which conspiracies people believe in and why(2021-04-27) Marques M; McLennan J; Kerr J; Ling M; Williams M
- ItemWhy are beliefs in different conspiracy theories positively correlated across individuals? Testing monological network versus unidimensional factor model explanations(Wiley, 2022-01-27) Williams M; Marques MD; Hill SR; Kerr JR; Ling MA substantial minority of the public express belief in conspiracy theories. A robust phenomenon in this area is that people who believe one conspiracy theory are more likely to believe in others. But the reason for this “positive manifold” of belief in conspiracy theories is unclear. One possibility is that a single underlying latent factor (e.g. “conspiracism”) causes variation in belief in specific conspiracy theories. Another possibility is that beliefs in various conspiracy theories support one another in a mutually reinforcing network of beliefs (the “monological belief system” theory). While the monological theory has been influential in the literature, the fact that it can be operationalised as a statistical network model has not previously been recognised. In this study, we therefore tested both the unidimensional factor model and a network model. Participants were 1553 American adults recruited via Prolific. Belief in conspiracies was measured using an adapted version of the Belief in Conspiracy Theories Inventory. The fit of the two competing models was evaluated both by using van Bork et al.’s (Psychometrika, 83, 2018, 443, Multivariate Behavioral Research, 56, 2019, 175) method for testing network versus unidimensional factor models, as well as by evaluating goodness of fit to the sample covariance matrix. In both cases, evaluation of fit according to our pre-registered inferential criteria favoured the network model.