Science and Ethics of “Curing” Misinformation

Freiling, I., Knause, N.M., & Scheufele, D.A.

AMA J Ethics. 2023;25(3):E228-237. 

doi: 10.1001/amajethics.2023.228.

Abstract

A growing chorus of academicians, public health officials, and other science communicators have warned of what they see as an ill-informed public making poor personal or electoral decisions. Misinformation is often seen as an urgent new problem, so some members of these communities have pushed for quick but untested solutions without carefully diagnosing ethical pitfalls of rushed interventions. This article argues that attempts to “cure” public opinion that are inconsistent with best available social science evidence not only leave the scientific community vulnerable to long-term reputational damage but also raise significant ethical questions. It also suggests strategies for communicating science and health information equitably, effectively, and ethically to audiences affected by it without undermining affected audiences’ agency over what to do with it.

My summary:

The authors explore the challenges and ethical considerations surrounding efforts to combat misinformation. The authors argue that using the term "curing" to describe these efforts is problematic, as it suggests that misinformation is a disease that can be eradicated. They argue that this approach is overly simplistic and disregards the complex social and psychological factors that contribute to the spread of misinformation.

The authors identify several ethical concerns with current approaches to combating misinformation, including:

• The potential for censorship and suppression of legitimate dissent.
• The undermining of public trust in science and expertise.
• The creation of echo chambers and further polarization of public opinion.

Instead of trying to "cure" misinformation, the authors propose a more nuanced and ethical approach that focuses on promoting critical thinking, media literacy, and civic engagement. They also emphasize the importance of addressing the underlying social and psychological factors that contribute to the spread of misinformation, such as social isolation, distrust of authority, and a desire for simple explanations.

Not all skepticism is “healthy” skepticism: Theorizing accuracy- and identity-motivated skepticism toward social media misinformation

Li, J. (2023). 

New Media & Society, 0(0). 

https://doi.org/10.1177/14614448231179941

Abstract

Fostering skepticism has been seen as key to addressing misinformation on social media. This article reveals that not all skepticism is “healthy” skepticism by theorizing, measuring, and testing the effects of two types of skepticism toward social media misinformation: accuracy- and identity-motivated skepticism. A two-wave panel survey experiment shows that when people’s skepticism toward social media misinformation is driven by accuracy motivations, they are less likely to believe in congruent misinformation later encountered. They also consume more mainstream media, which in turn reinforces accuracy-motivated skepticism. In contrast, when skepticism toward social media misinformation is driven by identity motivations, people not only fall for congruent misinformation later encountered, but also disregard platform interventions that flag a post as false. Moreover, they are more likely to see social media misinformation as favoring opponents and intentionally avoid news on social media, both of which form a vicious cycle of fueling more identity-motivated skepticism.

Discussion

I have made the case that it is important to distinguish between accuracy-motivated skepticism and identity-motivated skepticism. They are empirically distinguishable constructs that cast opposing effects on outcomes important for a well-functioning democracy. Across the board, accuracy-motivated skepticism produces normatively desirable outcomes. Holding a higher level of accuracy-motivated skepticism makes people less likely to believe in congruent misinformation they encounter later, offering hope that partisan motivated reasoning can be attenuated. Accuracy-motivated skepticism toward social media misinformation also has a mutually reinforcing relationship with consuming news from mainstream media, which can serve to verify information on social media and produce potential learning effects.

In contrast, not all skepticism is “healthy” skepticism. Holding a higher level of identity-motivated skepticism not only increases people’s susceptibility to congruent misinformation they encounter later, but also renders content flagging by social media platforms less effective. This is worrisome as calls for skepticism and platform content moderation have been a crucial part of recently proposed solutions to misinformation. Further, identity-motivated skepticism reinforces perceived bias of misinformation and intentional avoidance of news on social media. These can form a vicious cycle of close-mindedness and politicization of misinformation.

This article advances previous understanding of skepticism by showing that beyond the amount of questioning (the tipping point between skepticism and cynicism), the type of underlying motivation matters for whether skepticism helps people become more informed. By bringing motivated reasoning and media skepticism into the same theoretical space, this article helps us make sense of the contradictory evidence on the utility of media skepticism. Skepticism in general should not be assumed to be “healthy” for democracy. When driven by identity motivations, skepticism toward social media misinformation is counterproductive for political learning; only when skepticism toward social media is driven by the accuracy motivations does it inoculate people against favorable falsehoods and encourage consumption of credible alternatives.

Here is the research.

Here are some additional thoughts on the research:

• The distinction between accuracy-motivated skepticism and identity-motivated skepticism is a useful one. It helps to explain why some people are more likely to believe in misinformation than others.
• The findings of the studies suggest that interventions that promote accuracy-motivated skepticism could be effective in reducing the spread of misinformation on social media.
• It is important to note that the research was conducted in the United States. It is possible that the findings would be different in other countries.

Accuracy and social motivations shape judgements of (mis)information

Rathje, S., Roozenbeek, J., Van Bavel, J.J. et al.

Nat Hum Behav 7, 892–903 (2023).

https://doi.org/10.1038/s41562-023-01540-w

Abstract

The extent to which belief in (mis)information reflects lack of knowledge versus a lack of motivation to be accurate is unclear. Here, across four experiments (n = 3,364), we motivated US participants to be accurate by providing financial incentives for correct responses about the veracity of true and false political news headlines. Financial incentives improved accuracy and reduced partisan bias in judgements of headlines by about 30%, primarily by increasing the perceived accuracy of true news from the opposing party (d = 0.47). Incentivizing people to identify news that would be liked by their political allies, however, decreased accuracy. Replicating prior work, conservatives were less accurate at discerning true from false headlines than liberals, yet incentives closed the gap in accuracy between conservatives and liberals by 52%. A non-financial accuracy motivation intervention was also effective, suggesting that motivation-based interventions are scalable. Altogether, these results suggest that a substantial portion of people’s judgements of the accuracy of news reflects motivational factors.

Conclusions

There is a sizeable partisan divide in the kind of news liberals and conservatives believe in, and conservatives tend to believe in and share more false news than liberals. Our research suggests these differences are not immutable. Motivating people to be accurate improves accuracy about the veracity of true (but not false) news headlines, reduces partisan bias and closes a substantial portion of the gap in accuracy between liberals and conservatives. Theoretically, these results identify accuracy and social motivations as key factors in driving news belief and sharing. Practically, these results suggest that shifting motivations may be a useful strategy for creating a shared reality across the political spectrum.

Key findings

• Accuracy motivations: Participants who were motivated to be accurate were more likely to correctly identify true and false news headlines.
• Social motivations: Participants who were motivated to identify news that would be liked by their political allies were less likely to correctly identify true and false news headlines.
• Combination of motivations: Participants who were motivated by both accuracy and social motivations were more likely to correctly identify true news headlines from the opposing political party.