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    A Proposed Common Framework of Belief-Consistent Information Processing for a Set of Biases

    A Proposed Common Framework of Belief-Consistent Information Processing for a Set of Biases

    Author

    Aileen Oeberst, Roland Imhoff

    Year
    2023
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    Toward Parsimony in Bias Research: A Proposed Common Framework of Belief-Consistent Information Processing for a Set of Biases

    Aileen Oeberst, Roland Imhoff. 2023. (View Paper → )

    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.

    The taxonomy of biases just got a lot more organised. The fundamental beliefs resonate with me because they all seem to be evolutionarily beneficial. I’m interested to see if future research will verify or disprove.

    Fundamental belief
    Bias
    Brief description
    My experience is a reasonable reference.
    Spotlight effect
    Overestimating the extent to which (an aspect of) oneself is noticed by others
    Illusion of transparency
    Overestimating the extent to which one’s own inner states are noticed by others
    Illusory transparency of intention
    Overestimating the extent to which an intention behind an ambiguous utterance (that is clear to oneself) is clear to others
    False consensus
    Overestimation of the extent to which one’s opinions, beliefs, etc., are shared
    Social projection
    Tendency to judge others as similar to oneself
    I make correct assessments of the world.
    Bias blind spot
    Being convinced that mainly others succumb to biased information processing
    Hostile media bias
    Partisans perceiving media reports as biased toward the other side
    I am good.
    Better-than-average effect
    Overestimating one’s performance in relation to the performance of others
    Self-serving bias
    Attributing one’s failures externally but one’s successes internally
    My group is a reasonable reference.
    Ethnocentric bias
    Giving precedence to one’s own group (not preference)
    In-group projection
    Perceiving one’s group (vs. other groups) as more typical of a shared superordinate identity
    My group (members) is (are) good.
    In-group bias/partisan bias
    Seeing one’s own group in a more favorable light than other groups (e.g., morally superior, less responsible for harm)
    Ultimate attribution error
    External (vs. internal) attribution for negative (vs. positive) behaviors of in-group members; reverse pattern for out-group members
    Linguistic intergroup bias
    Using more abstract (vs. concrete) words when describing positive (vs. negative) behavior of in-group members and the reverse pattern for out-group members
    Intergroup sensitivity effect
    Criticisms evaluated less defensively when made by an in-group (vs. out-group) member
    People’s attributes (not context) shape outcomes.
    Fundamental attribution error/correspondence bias
    Preference for dispositional (vs. situational) attribution with regard to others
    Outcome bias
    Evaluation of the quality of a decision as a function of the outcome (valence)