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The Psychometrics Centre

Cambridge Judge Business School
 
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Wed 20 Mar 16:00: Title to be confirmed

Tue, 30/01/2024 - 14:14
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Mon 11 Mar 11:00: Title to be confirmed NOTE: This talk is on Monday at 11 am !

Tue, 30/01/2024 - 14:12
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NOTE: This talk is on Monday at 11 am !

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Wed 07 Feb 15:00: Understanding and managing conspiracy beliefs

Fri, 26/01/2024 - 19:53
Understanding and managing conspiracy beliefs

While considerable progress has been made in uncovering the motivational processes, contextual consequences, and interventions to reduce beliefs in conspiracy theories, certain areas of concern remain unclear. First, recent academic debates have centred around the exact nature of different measures of conspiracy beliefs (e.g., conspiracy mentality vs. belief in specific conspiracy theories). Regardless, what these measures fail to capture are the underlying components that make up a “conspiracist worldview”, alongside the potentially distinct implications of these different ontological processes. To understand this, I discuss our ongoing work on developing a scale that aims to capture a propensity to perceive the world in conspiracist terms. Second, inoculation or “pre-bunking” interventions have proven effective at reducing general misinformation susceptibility and acceptance of conspiracy narratives. However, less is known about the efficacy of these interventions among the specific population of interest; that is, actual “conspiracy theorists”. To explain how interventions might be extended to manage this issue, I will present promising recent evidence from our pre-bunking interventions that are specifically tailored to appeal to those already susceptible to conspiracy narratives. Finally, I will summarise and discuss other potential extensions of pre-bunking interventions to improve their efficacy specifically among “conspiracy theorist” communities.

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Wed 24 Jan 15:00: The paradox of virality

Mon, 22/01/2024 - 10:41
The paradox of virality

I will present the results from a variety of interconnected studies about intergroup conflict, the spread of (mis)information, and how these topics interact with digital technologies such as social media. First, I will present research showing how social identity motives — particularly out-group negativity — explain why content is widely shared (or goes “viral”) on social media. Then, I will present research showing that widely shared content is often not widely liked — a phenomenon I call the “paradox of virality.” I will discuss the results of a study showing how accuracy and social identity motivations causally shape the belief and spread of (mis)information. I will also present the results of a large-scale digital field experiment that tests the long-term effects of exposure to misinformation and divisive content by having participants unfollow several polarizing social media accounts and misinformation sources for one month. Finally, I will present current and future research directions demonstrating how we can explore these questions on a global scale using multi-site “global studies” and how we can enhance our methods for testing these questions using large-language models.

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