Examining the contingency between emotional words and genders: Evidence from the media corpus of #MeToo movement

Author:

Kumar Roopak1,Tarai Shashikanta1

Affiliation:

1. National Institute of Technology–Raipur

Abstract

Gender inequalities are linguistically constructed and indexed through the strategic use of language representing the power structure in the physical world. Recently, #MeTooIndia, an Indian version of the global feminist movement, provided a scholarly opportunity to explore the gender stereotypes of emotional expressions. Even though some researchers have studied the sociocultural dimensions of #MeToo, the corpus-based linguistic analysis of this movement has yet to be explored significantly. Therefore, the current study investigated the discursive association of emotional representation of masculine and feminine genders in media texts. Given the societal nature of Indian patriarchal ideologies, power and gender stereotypes, we hypothesize that Indian mass media, as a powerful political actor, may attribute more positive lexicons to the masculine pronoun he and more negative markers to the feminine pronoun she. Textual genres of #MeToo were extracted from the print media by using the corpus framework of collocational and concordance methods. Our results revealed that, though the news of #MeToo heightened the feminine actor and largely produced the pronoun she in the referential position, the narratives of texts assigned more positive emotive markers to the masculine social actors. Overall, this study concludes that #MeToo as a gender movement has faced strategic linguistic resistance against feminine sexual victims, favouring the masculine actors.

Publisher

Intellect

Subject

Communication

Reference78 articles.

1. Towards an operationalisation of the fundamental dimensions of agency and communion: Trait content ratings in five countries considering valence and frequency of word occurrence;European Journal of Social Psychology,2008

2. Emotion processes in discourse,2019

3. A lexicon-based method to search for extreme opinions;PloS One,2018

4. Critical discourse analysis of war reporting in the international press: The case of the Gaza war of 2008–2009;Palgrave Communications,2017

5. Empathic care and distress: Predictive brain markers and dissociable brain systems;Neuron,2017

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