Complex Variation in the Construction of a Sociolinguistic Persona: The Case of Vice President Kamala Harris

Author:

Holliday Nicole1

Affiliation:

1. Pomona College

Abstract

Over the past few decades, sociolinguists have begun to take greater interest in how public figures, such as politicians, may employ variation at different levels of linguistic structure in the construction of a public persona. These figures are of particular interest because their public and constructed usages may also illuminate wider social usages and indices of specific linguistic variables. This paper presents results from analyses of multiple aspects of ethnolinguistic variation in the speech of Vice President Kamala Harris during the 2019-2020 Democratic Party Primary debates. In particular, it focuses on her use of selected morphosyntactic features associated with African American Language (AAL), vowel systems associated with California and African American identities, and topic-based differences in the use of selected prosodic variables. Together, these results show how VP Harris selectively employs both enregistered and subtle linguistic variables in the establishment of a highly specific sociolinguistic identity that comports with her unique positions politically, socially, and racially. The results of this study expand our knowledge about how the complexities of speaker identity are reflected in sociolinguistic variation, while further illuminating how speakers in the public sphere use variation reflect and construct both who they are and who we want them to be.

Publisher

Duke University Press

Subject

Linguistics and Language,Language and Linguistics,Communication

Reference81 articles.

1. The Social Life of Cultural Value;Agha;Language & Communication,2003

2. PoLaR Annotation Conventions: A Tool for Annotating Prosodic Variation;Ahn,2018

3. Articulate While Black: Barack Obama, Language, and Race in the U.S;Alim;Journal of Linguistic Anthropology,2012

4. Auxuiliary Deletion in the Black English Vernacular;Bailey,1988

5. Fitting Linear Mixed-Effects Models Using lme4;Bates;Journal of Statistical Software,2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3