Browsing by Subject "Misinformation"
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Item Open Access An Empirical Procedure to Evaluate Misinformation Rejection and Deception in Mediated Communication Contexts(Communication Theory, 2022-01-13) Paquin, RS; Boudewyns, V; Betts, KR; Johnson, M; O'Donoghue, AC; Southwell, BGAbstract Although misleading health information is not a new phenomenon, no standards exist to assess consumers’ ability to detect and subsequently reject misinformation. Part of this deficit reflects theoretical and measurement challenges. After drawing novel connections among legal, regulatory, and philosophical perspectives on false, misleading or deceptive advertising and cognitive-process models of persuasive communication, we define deception and misinformation rejection. Recognizing that individuals can hold beliefs that align with a persuasive message without those beliefs having been influenced by it, we derive empirical criteria to test for evidence of these constructs that center on yielding or not yielding to misinformation in mediated contexts. We present data from an experimental study to illustrate the proposed test procedure and provide evidence for two theoretically derived patterns indicative of misinformation rejection. The resulting definitions and empirical procedure set the stage for additional theorizing and empirical studies on misinformation in the marketplace.Item Open Access Misinformed? The Implications of Measurement for Assessing Citizen Competence(2021) Guay, BrianThis dissertation addresses measurement issues underlying our understanding of the capacity of citizens to hold elected representatives accountable. A growing body of work documents the many misperceptions---or inaccurate beliefs---people hold about politics, and the prevailing narrative in the literature suggests that the public is highly misinformed. In Chapter 2, I argue that past work exaggerates the degree to which the public is misinformed by relying on methods that cannot meaningfully distinguish between inaccurate beliefs held with certainty and incorrect guesses. I adjust for differential item functioning (i.e., differences in how respondents use response scales) in an alternative measure of certainty and show that being misinformed is surprisingly rare. I find that misperceptions reported on surveys are four times more likely to represent uncertain guesses than firmly held beliefs. Chapter 3 examines how guessing under uncertainty gives the false impression of being misinformed. I show that when people are uncertain, they engage in a Bayesian process by which they systematically overestimate the size of smaller quantities and underestimate the size of larger ones. I show that this Bayesian model compares favorably to existing explanations of misperceptions about the size of minority racial groups using a large collection of data from estimates of the size of 42 demographic groups from 35,000 survey respondents in 22 countries. The findings presented in Chapter 3 raise questions about the common practice of measuring political misperceptions by asking survey respondents to estimate the size of politically relevant quantities. Chapter 4 examines how people interact with theses quantities, specifically with respect to attempts to change attitudes by correcting misperceptions. I focus on individual differences in numeracy (i.e., quantitative literacy) and show that people often lack the necessary skills required to estimate the size of political quantities and incorporate correct information into their attitudes. Together, these findings challenge the prevailing narrative that much of the public is highly misinformed about politics and suggests that much of what is known about the capacity of citizens to meaningfully engage in politics is a product of the types of questions used to measure political misperceptions.
Item Open Access The search for the missing link between health misinformation & health disparities.(Patient education and counseling, 2024-07) Osude, Nkiru; O'Brien, Emily; Bosworth, Hayden BRelative to the rapid increase in available health information, little has been published on the differential impact misinformation has on the health of communities. Observations during the height of the COVID-19 pandemic indicated there were communities that made decisions that negatively impacted health outcomes beyond expectations; we propose that health misinformation was a contributor to poor health outcomes. Health misinformation exposure varies across communities and preliminary research suggests that some communities are more vulnerable to the impact of health misinformation than others. However, few studies have evaluated the connection between health misinformation and healthcare disparities. In this paper, we (a) review the current literature on misinformation and its impact on health disparities, (b) expand on prior epidemiological models to explain the communal spread of misinformation and the link to disparate health outcomes, (c) identify gaps in knowledge about communal misinformation spread (d) review promising interventions to halt the adverse impact of misinformation.