Both liberals and conservatives accuse their political opponents of partisan bias, but is there empirical evidence that one side of the political aisle is indeed more biased than the other? To address this question, we meta-analyzed the results of 51 experimental studies, involving over 18,000 participants, that examined one form of partisan bias-the tendency to evaluate otherwise identical information more favorably when it supports one's political beliefs or allegiances than when it challenges those beliefs or allegiances. Two hypotheses based on previous literature were tested: an asymmetry hypothesis (predicting greater partisan bias in conservatives than in liberals) and a symmetry hypothesis (predicting equal levels of partisan bias in liberals and conservatives). Mean overall partisan bias was robust ( r = .245), and there was strong support for the symmetry hypothesis: Liberals ( r = .235) and conservatives ( r = .255) showed no difference in mean levels of bias across studies. Moderator analyses reveal this pattern to be consistent across a number of different methodological variations and political topics. Implications of the current findings for the ongoing ideological symmetry debate and the role of partisan bias in scientific discourse and political conflict are discussed.
Humans evolved in the context of intense intergroup competition, and groups comprised of loyal members more often succeeded than groups comprised of nonloyal members. Therefore, selective pressures have sculpted human minds to be tribal, and group loyalty and concomitant cognitive biases likely exist in all groups. Modern politics is one of the most salient forms of modern coalitional conflict and elicits substantial cognitive biases. The common evolutionary history of liberals and conservatives gives little reason to expect protribe biases to be higher on one side of the political spectrum than the other. This evolutionarily plausible null hypothesis has been supported by recent research. In a recent meta-analysis, liberals and conservatives showed similar levels of partisan bias, and several protribe cognitive tendencies often ascribed to conservatives (e.g., intolerance toward dissimilar other people) were found in similar degrees in liberals. We conclude that tribal bias is a natural and nearly ineradicable feature of human cognition and that no group—not even one’s own—is immune.
Moral dilemmas-like the ''trolley problem'' or real-world examples like capital punishment-result from a conflict between consequentialist and deontological intuitions (i.e., whether ends justify means). The authors contend that people often resolve such moral conflict by aligning factual beliefs about consequences of acts with evaluations of the act's inherent morality (i.e., morality independent of its consequences). In both artificial (Study 1) and real-world (Study 2) dilemmas, the more an act was deemed inherently immoral, the more it was seen as unlikely to produce beneficial consequences and likely to involve harmful costs. Coherence between moral evaluations and factual beliefs increased with greater moral conviction, self-proclaimed topical knowledge, and political conservatism (Study 2). Reading essays about the inherent morality or immorality of capital punishment (Study 3) changed beliefs about its costs and benefits, even though no information about consequences was supplied. Implications for moral reasoning and political conflict are discussed.
The adverse effects of loneliness on health and well-being accelerate with age, making it important to understand the relationship experiences that underlie loneliness in later life. The current study distinguished between emotional and social loneliness and compared their associations with parallel categories of positive and negative social exchanges in a representative sample of older adults. Given the high rates of marital loss in later life, analyses included comparisons of currently and formerly married individuals. The results revealed that emotional support and its negative counterpart (insensitive behavior) are particularly consequential for emotional loneliness among married participants. Companionship was associated with emotional and social loneliness among married and formerly married participants, whereas its negative counterpart (rejection) appeared to be particularly consequential for social loneliness among formerly married participants. The results underscore the value of a differentiated approach to older adults’ loneliness and social exchanges.
The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. AbstractBaron and Jost (this issue) present three critiques of our meta-analysis demonstrating similar levels of partisan bias in liberals and conservatives: 1) that the studies we examined were biased toward finding symmetrical bias among liberals and conservatives, 2) that the studies we examined do not measure partisan bias but rather rational Bayesian updating, and 3) that social psychology is not biased in favor of liberals but biased instead toward creating false equivalencies. We respond in turn that: 1) the included studies covered a wide variety of issues at the core of contemporary political conflict and fairly compared bias by establishing conditions under which both liberals and conservatives would have similar motivations and opportunity to demonstrate bias, 2) we carefully selected studies that were least vulnerable to Bayesian counterexplanation and most scientists and laypeople consider these studies demonstrations of bias, and 3) there is reason to be vigilant about liberal bias in social psychology, but this does not preclude concern about other possible biases, all of which threaten good science. We close with recommendations for future research and urge researchers to move beyond broad generalizations of political differences that are insensitive to time and context.
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