2017
DOI: 10.21462/ijefll.v2i1.18
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An Investigation of Different Language Choice through Personal Pronouns in the Twitter

Abstract: Abstract:This study aimed to find evidence regarding the use of personal pronouns in the discourses produced by males and females.

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Cited by 2 publications
(5 citation statements)
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“…The complexity of language cannot be used to generalize genders (Abudarhman, 2017). The use of language features may be affected by valuesideology, culture and personality from the language users (Hosseini & Tammimy, 2016;Abdurahman, 2017). Personal factors may affect the use of language features.…”
Section: Discussionmentioning
confidence: 99%
“…The complexity of language cannot be used to generalize genders (Abudarhman, 2017). The use of language features may be affected by valuesideology, culture and personality from the language users (Hosseini & Tammimy, 2016;Abdurahman, 2017). Personal factors may affect the use of language features.…”
Section: Discussionmentioning
confidence: 99%
“…Some other studies have examined the differences in syntactical and lexical aspects between genders in written texts (Argamon et al, 2003;Llach 2010;Baker 2014). Other several studies have also inspected how gender influences the process of sentence and discourse production (Tannen 1994;Newman et al 2008;Abdurrahman 2017).…”
mentioning
confidence: 99%
“…While female and male speakers use language differently depending on the listeners and the speech community in a larger context, it can be expected that fewer conversation cues will be involved in formal written texts (Argamon et al 2003). Abdurrahman (2017) argues that particular language properties largely employed within a text can reveal the gender of the author. In addition to the studies of sentence and discourse production process, differences in various linguistic features have as well been examined such as the aspects of phonological and pragmatic (e.g., Labov 1990;Su & Chang 2019), syntax (e.g., Lakoff 1975Ishikawa 2015;Kramer 2016), andphonology andpronunciation (e.g., Moyer 2016;Kim et al 2016).…”
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confidence: 99%
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