Beyond the running tally: Partisan bias in political perceptions

被引:924
作者
Bartels, LM [1 ]
机构
[1] Princeton Univ, Woodrow Wilson Sch, Princeton, NJ 08544 USA
关键词
party identification; Bayesian learning; perceptual bias;
D O I
10.1023/A:1021226224601
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
I examine the impact of long-term partisan loyalties on perceptions of specific political figures and events. In contrast to the notion of partisanship as a simple "running tally" of political assessments, I show that party identification is a pervasive dynamic force shaping citizens' perceptions of, and reactions to, the political world. My analysis employs panel data to isolate the impact of partisan bias in the context of a Bayesian model of opinion change; I also present more straightforward evidence of contrasts in Democrats' and Republicans' perceptions of "objective" politically relevant events. I conclude that partisan bias in political perceptions plays a crucial role in perpetuating and reinforcing sharp differences in opinion between Democrats and Republicans. This conclusion handsomely validates the emphasis placed by the authors of The American Voter on "the role of enduring partisan commitments in shaping attitudes toward political objects."
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页码:117 / 150
页数:34
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