尊敬与谩骂:三种语言中女性和男性指代的情感分析

IF 1.5 Q2 COMMUNICATION Frontiers in Communication Pub Date : 2024-03-28 DOI:10.3389/fcomm.2024.1266407
Natalia Levshina, Maria Koptjevskaja-Tamm, Robert Östling
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引用次数: 0

摘要

我们的研究为探索较少的词汇类型学领域做出了贡献,其重点是语义拟声和内涵。在有关性别和语言的研究中,语义贬损或指代女性的名词的贬义化(pejoration)一直是一个非常突出的问题。有人认为,pejoration 的出现是由于对女性指代物的普遍贬义态度。然而,有关女性与男性相关词语内涵系统性差异的证据并不完整,而且往往是印象性的;此外,许多研究者认为,对女性(以及男性)表达的情感往往是矛盾的。近年来,随着女权主义的发展和社会的进步,人们也期待性别内涵差异会有所减少。我们通过对女性和男性词对(如女人-男人、女孩-男孩、妻子-丈夫等)的积极和消极内涵的研究来验证这些观点。我们从英语、汉语和俄语的对时语料库中抽取了包含这些词语的句子,并使用两个基于方面的情感分析系统对每个词语进行了情感评分:PyABSA 和 OpenAI 的大型语言模型 GPT-3.5。对我们的数据建立的广义线性混合模型没有显示出女性参照物与男性参照物相比有明显更多的负面情感。不过,有些模型表明,与男性参照物相比,女性参照物更少与中性情绪相关联。我们的数据也不支持两性之间异时趋同的假设。总之,研究结果表明,pejoration 不可能简单地用对女性参照物的负面态度来解释。
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Revered and reviled: a sentiment analysis of female and male referents in three languages
Our study contributes to the less explored domain of lexical typology, focusing on semantic prosody and connotation. Semantic derogation, or pejoration of nouns referring to women, whereby such words acquire connotations and further denotations of social pejoration, immorality and/or loose sexuality, has been a very prominent question in studies on gender and language (change). It has been argued that pejoration emerges due to the general derogatory attitudes toward female referents. However, the evidence for systematic differences in connotations of female- vs. male-related words is fragmentary and often fairly impressionistic; moreover, many researchers argue that expressed sentiments toward women (as well as men) often are ambivalent. One should also expect gender differences in connotations to have decreased in the recent years, thanks to the advances of feminism and social progress. We test these ideas in a study of positive and negative connotations of feminine and masculine term pairs such as woman - man, girl - boy, wife - husband, etc. Sentences containing these words were sampled from diachronic corpora of English, Chinese and Russian, and sentiment scores for every word were obtained using two systems for Aspect-Based Sentiment Analysis: PyABSA, and OpenAI’s large language model GPT-3.5. The Generalized Linear Mixed Models of our data provide no indications of significantly more negative sentiment toward female referents in comparison with their male counterparts. However, some of the models suggest that female referents are more infrequently associated with neutral sentiment than male ones. Neither do our data support the hypothesis of the diachronic convergence between the genders. In sum, results suggest that pejoration is unlikely to be explained simply by negative attitudes to female referents in general.
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来源期刊
CiteScore
3.30
自引率
8.30%
发文量
284
审稿时长
14 weeks
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