Biased Assimilation and Attitude Polarization: The Effects of Prior Theories on Subsequently Considered Evidence

By C. G. Lord, L. Ross, M. Lepper. 1979

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Citations in the corpus

SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures (2021, background): “, challenge to a positive view of oneself), leading to various defensive responses that impede learning (Sherman and Cohen, 2006), such as resistance to changing beliefs or adoption of more extreme beliefs (Lord et al., 1979).”
Cognitive Biases in the Assimilation of Scientific Information on Global Warming and Genetically Modified Food (2015, background): “Similar to Lord et al. (1979), information-processing outcomes were measured by asking how the presented information changed beliefs.”
Persuasion: Empirical Evidence (2010, unknown): “Consistent with Malmendier and Shanthikumar (2007), they show that individual investors buy in response to the optimistically-biased recommendations.”
When Blemishing Leads to Blossoming: The Positive Effect of Negative Information (2012, background): “In their classic research, Lord et al. (1979) found that when people hold a given attitude toward an object or issue, receiving contradictory arguments can polarize or intensify that attitude because people write off or discount the contradictory information and bolster the initial information that…”
Contextual and psychological factors shaping evaluations and acceptability of energy alternatives: Integrated review and research agenda (2014, background): “Interestingly, it has been found that people particularly attend to information that supports their prior judgements, whereas they disregard information that speaks against these judgements, a phenomenon known as motivated cognition [110,111].”
Social Clicks: What and Who Gets Read on Twitter? (2016, unknown): “Information diﬀusion naturally shapes collective opinion and consensus [12, 7, 18], hence the role of social media in redistributing inﬂuence online has been under scrutiny ever since blogs and email chains [2, 17].”
Event detail and confidence in gambling: The role of counterfactual thought reactions (2010, background): “First the unwarranted confidence that follows from having detailed information about a losing situation can be thought of as an example of motivated bias (Kunda, 1990; Lord, Ross, & Lepper, 1979; Molden & Higgins, 2008).”