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Code-Mixing and Second Language Acquisition on Social Media by Digital Native Indonesian Children.

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Title: Code-Mixing and Second Language Acquisition on Social Media by Digital Native Indonesian Children.
Authors: Rustan, Edhy1, Ajiegoena, Andi Muhammad1
Source: Theory & Practice in Language Studies (TPLS). Jan2023, Vol. 13 Issue 1, p217-226. 10p.
Subject Terms: *Digital media, *Second language acquisition, *Social media, Indonesians, Digital natives, Speech
Abstract: The aims of this study are to (1) explain the forms of mixed-use of L1 to L2 codes in social media posts, (2) explain the factors that cause the use of L1 to L2 mixed codes and (3) describe language mastery. This study uses a qualitative descriptive analysis method. Data in code-mixing was obtained from secondary data, namely written posts with COVID-19 content on social media, Facebook and Twitter. A mixture of L1 and L2 codes in postings on social media includes words and phrases manifested in congruent insertion, change, and lexicalisation forms. The influencing factors are divided into (1) speaker factors, such as showing off, prestige, and language skills, and (2) linguistic factors, such as popular terms, topics, modes, speech partners, time and place/location. With the emergence of various terms related to COVID-19, the mastery of a second language for digital natives, in this case, English, is increasing. Although the use of code-mixing, there are some errors in writing, sentence structure, and cohesion, digital natives can master L2 through codemixing, including accuracy of word writing, word selection, syntactic structure, cohesion, and coherence in the sentence. [ABSTRACT FROM AUTHOR]
Copyright of Theory & Practice in Language Studies (TPLS) is the property of Academy Publication Co., LTD and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Code-Mixing and Second Language Acquisition on Social Media by Digital Native Indonesian Children.
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  Data: <searchLink fieldCode="JN" term="%22Theory+%26+Practice+in+Language+Studies+%28TPLS%29%22">Theory & Practice in Language Studies (TPLS)</searchLink>. Jan2023, Vol. 13 Issue 1, p217-226. 10p.
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  Data: *<searchLink fieldCode="DE" term="%22Digital+media%22">Digital media</searchLink><br />*<searchLink fieldCode="DE" term="%22Second+language+acquisition%22">Second language acquisition</searchLink><br />*<searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Indonesians%22">Indonesians</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+natives%22">Digital natives</searchLink><br /><searchLink fieldCode="DE" term="%22Speech%22">Speech</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: The aims of this study are to (1) explain the forms of mixed-use of L1 to L2 codes in social media posts, (2) explain the factors that cause the use of L1 to L2 mixed codes and (3) describe language mastery. This study uses a qualitative descriptive analysis method. Data in code-mixing was obtained from secondary data, namely written posts with COVID-19 content on social media, Facebook and Twitter. A mixture of L1 and L2 codes in postings on social media includes words and phrases manifested in congruent insertion, change, and lexicalisation forms. The influencing factors are divided into (1) speaker factors, such as showing off, prestige, and language skills, and (2) linguistic factors, such as popular terms, topics, modes, speech partners, time and place/location. With the emergence of various terms related to COVID-19, the mastery of a second language for digital natives, in this case, English, is increasing. Although the use of code-mixing, there are some errors in writing, sentence structure, and cohesion, digital natives can master L2 through codemixing, including accuracy of word writing, word selection, syntactic structure, cohesion, and coherence in the sentence. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Theory & Practice in Language Studies (TPLS) is the property of Academy Publication Co., LTD and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.17507/tpls.1301.25
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 217
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      – SubjectFull: Digital media
        Type: general
      – SubjectFull: Second language acquisition
        Type: general
      – SubjectFull: Social media
        Type: general
      – SubjectFull: Indonesians
        Type: general
      – SubjectFull: Digital natives
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      – SubjectFull: Speech
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              Text: Jan2023
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              Y: 2023
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