Gender differences in communicative abstraction.

心理学 社会心理学 抽象 解释水平理论 感觉 感知 显著性(神经科学) 心理信息 认知心理学 语言学 政治学 认识论 哲学 神经科学 法学 梅德林
作者
Priyanka D. Joshi,Cheryl J. Wakslak,Gil Appel,Laura Huang
出处
期刊:Journal of Personality and Social Psychology [American Psychological Association]
卷期号:118 (3): 417-435 被引量:28
标识
DOI:10.1037/pspa0000177
摘要

Drawing on construal level theory, which suggests that experiencing a communicative audience as proximal rather than distal leads speakers to frame messages more concretely, we examine gender differences in linguistic abstraction. In a meta-analysis of prior studies examining the effects of distance on communication, we find that women communicate more concretely than men when an audience is described as being psychologically close. These gender differences in linguistic abstraction are eliminated when speakers consider an audience whose distance has been made salient (Study 1). In studies that follow, we examine gender differences in linguistic abstraction in contexts where the nature of the audience is not specified. Across a written experimental context (Study 2), a large corpus of online blog posts (Study 3), and the real-world speech of congressmen and congresswomen (Study 4), we find that men speak more abstractly than women. These gender differences in speech abstraction continue to emerge when subjective feelings of power are experimentally manipulated (Study 5). We believe that gender differences in linguistic abstraction are the result of several interrelated processes-including but not limited to social network size and homogeneity, communication motives involving seeking proximity or distance, perceptions of audience homogeneity and distance, as well as experience of power. In Study 6, we find preliminary support for mediation of gender differences in linguistic abstraction by women's tendency to interact in small social networks. We discuss implication of these gender differences in communicative abstraction for existing theory and provide suggestions for future research. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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