Code-mixing between Arabic and English among Jordanians on social media
This study aims to investigate the types and motivations of code-mixing between Arabic and English in Jordanian social media conversations. Employing both quantitative and qualitative methods, the research examines fifteen recorded videos from various social media platforms like Facebook, Instagram,...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Cogent Social Sciences |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/23311886.2025.2491705 |
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| author | Asma Mohammad Hussein Aburqayiq Abdel Rahman Mitib Altakhaineh Anas Hashem Alsariera |
| author_facet | Asma Mohammad Hussein Aburqayiq Abdel Rahman Mitib Altakhaineh Anas Hashem Alsariera |
| author_sort | Asma Mohammad Hussein Aburqayiq |
| collection | DOAJ |
| description | This study aims to investigate the types and motivations of code-mixing between Arabic and English in Jordanian social media conversations. Employing both quantitative and qualitative methods, the research examines fifteen recorded videos from various social media platforms like Facebook, Instagram, and YouTube. Instances of code-mixing are categorized using Muysken’s classification, which includes insertional, congruent lexicalization, and alternational types. The findings indicate that insertional code-mixing is the most prevalent, accounting for 80% of instances. This is followed by congruent lexicalization at 18.8% and alternational code-mixing at 1.2%. The study reveals that Jordanians frequently mix English into Arabic conversations, influenced by several factors such as social status, prestige, globalization, rapid advances in technology and artificial intelligence (AI), and education level. The study recommends incorporating code-mixing awareness into educational programs and encourages further research to explore the long-term effects of code-mixing on language development. |
| format | Article |
| id | doaj-art-023f025c01e140c1b2c0d29bbcc85a01 |
| institution | DOAJ |
| issn | 2331-1886 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Social Sciences |
| spelling | doaj-art-023f025c01e140c1b2c0d29bbcc85a012025-08-20T03:14:38ZengTaylor & Francis GroupCogent Social Sciences2331-18862025-12-0111110.1080/23311886.2025.2491705Code-mixing between Arabic and English among Jordanians on social mediaAsma Mohammad Hussein Aburqayiq0Abdel Rahman Mitib Altakhaineh1Anas Hashem Alsariera2The University of Jordan, Amman, JordanThe University of Jordan, Amman, JordanThe World Islamic Sciences and Education University, Amman, JordanThis study aims to investigate the types and motivations of code-mixing between Arabic and English in Jordanian social media conversations. Employing both quantitative and qualitative methods, the research examines fifteen recorded videos from various social media platforms like Facebook, Instagram, and YouTube. Instances of code-mixing are categorized using Muysken’s classification, which includes insertional, congruent lexicalization, and alternational types. The findings indicate that insertional code-mixing is the most prevalent, accounting for 80% of instances. This is followed by congruent lexicalization at 18.8% and alternational code-mixing at 1.2%. The study reveals that Jordanians frequently mix English into Arabic conversations, influenced by several factors such as social status, prestige, globalization, rapid advances in technology and artificial intelligence (AI), and education level. The study recommends incorporating code-mixing awareness into educational programs and encourages further research to explore the long-term effects of code-mixing on language development.https://www.tandfonline.com/doi/10.1080/23311886.2025.2491705Code-mixinginsertional code mixingcongruent lexicalizationalter-national code mixingsocial mediatechnology |
| spellingShingle | Asma Mohammad Hussein Aburqayiq Abdel Rahman Mitib Altakhaineh Anas Hashem Alsariera Code-mixing between Arabic and English among Jordanians on social media Cogent Social Sciences Code-mixing insertional code mixing congruent lexicalization alter-national code mixing social media technology |
| title | Code-mixing between Arabic and English among Jordanians on social media |
| title_full | Code-mixing between Arabic and English among Jordanians on social media |
| title_fullStr | Code-mixing between Arabic and English among Jordanians on social media |
| title_full_unstemmed | Code-mixing between Arabic and English among Jordanians on social media |
| title_short | Code-mixing between Arabic and English among Jordanians on social media |
| title_sort | code mixing between arabic and english among jordanians on social media |
| topic | Code-mixing insertional code mixing congruent lexicalization alter-national code mixing social media technology |
| url | https://www.tandfonline.com/doi/10.1080/23311886.2025.2491705 |
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