Hedges Function in Masculine and Feminine Feature’s Language: A Pragmatics Analysis

Azizah, Dinda Noor

doi:10.18326/jopr.v3i1.59-69

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…The second aim of this research is to identify the lexical hedges made by female participants in NUDC and WUDC 2021 and the result shows that the lexical hedges made by female participants are modal auxilary verb, lexical verb, probability adjective, noun, adverb, adverb of frequency, compound hedges, and fillers. This research finding is in line with Lakoff in (Azizah, 2021) who explains that the linguistic feature often used by women is lexical hedges like you know, I mean, well. Most women more often use these linguistic featurestoexpress opinions.…”

Section: Discussionsupporting

confidence: 89%

The Differences of Lexical Hedges Used by Male and Female Participants in NUDC And WUDC 2021

Utami,

Ananda,

Anggraini

et al. 2022

edu-ling

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Hedges has received much attention in relation to conversational rules as a mean to facilitate turn-taking, politeness, mitigate face-threats, but it is also considered a means of conveying vagueness purposely. The aim of this study is identify the lexical hedges are used by male and female participants in NUDC and WUDC 2021. This research was qualitative research. The object of this research was the recording of NUDC 2020 and WUDC 2021 debate accessed from youtube. The researcher used table checklist as the instrument of this research. There were two findings of this research; (1) The lexical hedges made by male participants in NUDC and WUDC 2021 were modal auxilary verb, lexical verb, probability adjective, adverb, adverb of frequency, if clause, compound hedges, and fillers; (2) The lexical hedges made by female participants in NUDC and WUDC 2021 were modal auxilary verb, lexical verb, probability adjective, noun, adverb, adverb of frequency, compound hedges, and fillers. To conclude, male and female participants made many kinds lexical hedges in NUDC and WUDC 2021. It was suggested for further research to conduct another research in the same field to this present research about the use of lexical hedges among the male and female students in more wide sample and deep data analysis.

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Section: Discussionsupporting

confidence: 89%

The Differences of Lexical Hedges Used by Male and Female Participants in NUDC And WUDC 2021

Utami,

Ananda,

Anggraini

et al. 2022

edu-ling

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“…The findings align with male-female language features that the opposite gender and females can use more frequently, considering the use of hedges and strategies in speech expressed by gender (Azizah, 2021;Li & Li, 2020).…”

Section: Gender-based Linguistic Pattern In Quora Appssupporting

confidence: 74%

Gender-Based Linguistic Patterns in Quora Apps: A Comparative Study

Candra Dewi,

Widyawati,

Rochmahwati

et al. 2024

SALEE

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There is a wide variety of interrelated social media platforms. Gender orientation can affect preferences for language use in particular social media, especially Quora, which is famous as a medium for collecting questions and answers on specific topics. Breaking new ground, this study uniquely juxtaposes gender orientation with linguistic preferences on Quora, an unexplored research area. This content analysis design employed textual data posted by Quora users in the "Skilled English Writing" forum during January-March 2023. Following Lakoff's gendered language theory, women frequently employ hedges to indicate uncertainty, whereas men use boosters to express confidence. The language of women was characterized by greater formality and formal grammar, whereas men favored informal abbreviations. In addition, women utilized emoticons for emphasis more frequently than males. These linguistic differences result from complex social, cultural, biological, and psychological effects, underscoring the importance of gender and social factors in language formation.

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The use of interactional metadiscourse markers by Saudi EFL male and female college students: the case of a gender-sensitive topic

Al-Otaibi,

Hussain

2024

Humanit Soc Sci Commun

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A few studies have explored the use of interactional metadiscourse markers in argumentative writing by male and female college students. More importantly, none explored the topic of metadiscourse resources with respect to gender-sensitive topics. Thus, the present study aims at examining the exploitation of interactional metadiscourse markers by Saudi male and female English as a Foreign Language (EFL) college students in their writing about ‘Who are Better Drivers, Men or Women?’. The study is corpus-based on students’ essays. The corpus consists of four sub-corpora: (a) men favouring men, (b) men arguing for women, (c) women arguing for men and (d) women writing in favour of women. We followed a qualitative and quantitative approach to data analysis. Using AntConc and Hyland’s (2005) metadiscourse model of interactional markers, the results reveal that female writers employed attitudinal lexis, hedges, self-mentions and boosters more than male writers. As for the variables of gender and stance choice, females arguing for men’s driving significantly utilised hedges more than the other three groups. Additionally, female writers writing in support of female drivers significantly used self-mentions more than male writers arguing for men’s driving. This study shows that sensitive topics may cause a difference in the distribution of metadiscourse markers used by people of both genders, and it provides some pedagogical implications for EFL instructors and curriculum developers.

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Hedges Function in Masculine and Feminine Feature’s Language: A Pragmatics Analysis

Cited by 3 publications

References 13 publications

The Differences of Lexical Hedges Used by Male and Female Participants in NUDC And WUDC 2021

The Differences of Lexical Hedges Used by Male and Female Participants in NUDC And WUDC 2021

Gender-Based Linguistic Patterns in Quora Apps: A Comparative Study

The use of interactional metadiscourse markers by Saudi EFL male and female college students: the case of a gender-sensitive topic

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