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首页> 外文期刊>Scientific reports. >Unfolding political attitudes through the face: facial expressions when reading emotion language of left- and right-wing political leaders
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Unfolding political attitudes through the face: facial expressions when reading emotion language of left- and right-wing political leaders

机译:通过面部展开政治态度:阅读左翼和右翼政治领导者情感语言时面部表达

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摘要

Spontaneous emotionally congruent facial responses (ECFR) to others' emotional expressions can occur by simply observing others' faces (i.e., smiling) or by reading emotion related words (i.e., to smile). The goal of the present study was to examine whether language describing political leaders' emotions affects voters by inducing emotionally congruent facial reactions as a function of readers' and politicians' shared political orientation. Participants read sentences describing politicians' emotional expressions, while their facial muscle activation was measured by means of electromyography (EMG). Results showed that reading sentences describing left and right-wing politicians "smiling" or "frowning" elicits ECFR for ingroup but not outgroup members. Remarkably, ECFR were sensitive to attitudes toward individual leaders beyond the ingroup vs. outgroup political divide. Through integrating behavioral and physiological methods we were able to consistently tap on a 'favored political leader effect' thus capturing political attitudes towards an individual politician at a given moment of time, at multiple levels (explicit responses and automatic ECFR) and across political party membership lines. Our findings highlight the role of verbal behavior of politicians in affecting voters' facial expressions with important implications for social judgment and behavioral outcomes.
机译:通过简单地观察他人的面孔(即,微笑)或通过阅读情感相关词语(即微笑),可以发生自发的情感上的面部反应(ECFR)对别人的情感表达可能发生。本研究的目标是检查描述政治领导者情绪的语言是否会影响选民,以作为读者和政治家共同的政治定位的函数诱导情绪上一致的面部反应。参与者阅读描述政治家情感表达的句子,而通过肌电图(EMG)测量它们的面部肌肉激活。结果表明,阅读句子描述左翼和右翼政客“微笑”或“皱眉”的诱惑ECFR用于INGROUP但不是超级组成员。值得注意的是,ECFR对对INGROUP之外的各个领导人的态度敏感,而不是植入政治鸿沟。通过整合行为和生理方法,我们能够始终如一地挖掘“青睐的政治领导效应”,从而在特定的时间内捕捉到个人政治家的政治态度,在多个层面(明确的反应和自动ECFR)和政党会员线条。我们的研究结果强调了政治家对影响选民面部表情的口头行为,对社会判断和行为结果的重要意义。

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