Curated from: neurosciencenews.com
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The so-called post-truth era has revealed vigorous disagreement over the truth of claims of fact — even for claims that are easy to verify.
That disagreement has alarmed our society. After all, it’s often assumed that the labels ‘true’ and ‘false’ should correspond to the objective accuracy of a claim.
But is objective accuracy actually the only criterion we consider when deciding what should qualify as true or false? Or, even when we know how objectively accurate a given claim of fact is, might we be sensitive to features of the social context—such as the intentions of the information source?
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Putting truth to the test in the “post-truth era”, Boston College psychologists conducted experiments that show when Americans decide whether a claim of fact should qualify as true or false, they do in fact consider the intentions of the information source.
That confidence is based on what individuals think the source is trying to do – in this case either informing or deceiving their audience.
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The researchers worked with 1,181 participants and examined approximately 16,200 responses fielded during their experiments.
Although participants knew precisely how accurate the claims were, participants classified claims as false more often when they judged the information source to be intending to deceive them.
Similarly, they classified claims as true more often when they judged the information source to be intending to provide an approximate account rather than a precise one, according to the study.
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“Even when people know precisely how accurate or inaccurate a claim of fact is, whether they consider that claim to be true or false hinges on the intentions they attribute to the claim’s information source,” said Professor of Psychology and Neuroscience Liane Young, an author of the report. “In other words, the intentions of information sources sway people’s judgments about what information should qualify as true.”
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The findings suggest that, even if people have access to the same set of facts, they might disagree about the truth of claims if they attribute discrepant intentions to information sources.
In future work, the researchers hope to develop an expanded understanding about how people think about truth. Moreover, given the rise in popularity of Artificial Intelligence models, such as ChatGPT, the researchers may investigate whether state-of-the-art AI models “think” about truth similarly to humans, or whether these models merely attend to objective accuracy when evaluating truth.
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IDEAS CURATED BY
CURATOR'S NOTE
Our perception of a source’s intention, whether informative or deceptive, influences our judgment about the truthfulness of a claim. This influence persists even when we have clear knowledge of the factual accuracy of a claim.
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