Oeberst, A., & Imhoff, R. (2023).
Perspectives on Psychological Science, 0(0).
Abstract
One of the essential insights from psychological research is that people’s information processing is often biased. By now, a number of different biases have been identified and empirically demonstrated. Unfortunately, however, these biases have often been examined in separate lines of research, thereby precluding the recognition of shared principles. Here we argue that several—so far mostly unrelated—biases (e.g., bias blind spot, hostile media bias, egocentric/ethnocentric bias, outcome bias) can be traced back to the combination of a fundamental prior belief and humans’ tendency toward belief-consistent information processing. What varies between different biases is essentially the specific belief that guides information processing. More importantly, we propose that different biases even share the same underlying belief and differ only in the specific outcome of information processing that is assessed (i.e., the dependent variable), thus tapping into different manifestations of the same latent information processing. In other words, we propose for discussion a model that suffices to explain several different biases. We thereby suggest a more parsimonious approach compared with current theoretical explanations of these biases. We also generate novel hypotheses that follow directly from the integrative nature of our perspective.
Here is my summary:
The authors argue that many different biases, such as the bias blind spot, hostile media bias, egocentric/ethnocentric bias, and outcome bias, can be traced back to the combination of a fundamental prior belief and humans' tendency toward belief-consistent information processing.
Belief-consistent information processing is the process of attending to, interpreting, and remembering information in a way that is consistent with one's existing beliefs. This process can lead to biases when it results in people ignoring or downplaying information that is inconsistent with their beliefs, and giving undue weight to information that is consistent with their beliefs.
The authors propose that different biases can be distinguished by the specific belief that guides information processing. For example, the bias blind spot is characterized by the belief that one is less biased than others, while hostile media bias is characterized by the belief that the media is biased against one's own group. However, the authors also argue that different biases may share the same underlying belief, and differ only in the specific outcome of information processing that is assessed. For example, both the bias blind spot and hostile media bias may involve the belief that one is more objective than others, but the bias blind spot is assessed in the context of self-evaluations, while hostile media bias is assessed in the context of evaluations of others.
The authors' framework has several advantages over existing theoretical explanations of biases. First, it provides a more parsimonious explanation for a wide range of biases. Second, it generates novel hypotheses that can be tested empirically. For example, the authors hypothesize that people who are more likely to believe in one bias will also be more likely to believe in other biases. Third, the framework has implications for interventions to reduce biases. For example, the authors suggest that interventions to reduce biases could focus on helping people to become more aware of their own biases and to develop strategies for resisting the tendency toward belief-consistent information processing.
