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020 ▼a 9780438127159
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0820 ▼a 305
1001 ▼a Alaslaa, Saeed Ali Al.
24512 ▼a A Sociolinguistic Study of Code Choice among Saudis on Twitter.
260 ▼a [S.l.] : ▼b University of Michigan., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 228 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: A.
500 ▼a Adviser: Mohammad Alhawary.
5021 ▼a Thesis (Ph.D.)--University of Michigan, 2018.
520 ▼a The present study is an attempt to explore a new dimension of language use: how Arabic is utilized in the social media, Twitter in particular. It attempts to examine codeswitching (CS) in its written form between standard Arabic (SA) and Saudi d
520 ▼a 1. What are the functions of using CS on Saudi Twitter? Are these functions different from the functions of CS in face-to-face interactions? 2. Do patterns of CS differ by gender and education? 3. Do patterns of CS differ by topic?
520 ▼a The current study adopts the sociolinguistic approach and provides a qualitative descriptive and quantitative analysis of 7350 tweets which were collected between December 2016 and July 2017, from 210 Saudi Twitter accounts diversified in terms
520 ▼a The findings revealed that the Saudi Twitter community utilized SA more than the SD. The study revealed that CS to SA is correlated with prestige, importance, sophistication, and seriousness. It revealed that the Saudi Twitter community switched
520 ▼a 1. to introduce formulaic expressions 2. to emphasize a point 3. to quote 4. to shift from comic to serious tone 5. to take a pedantic stand.
520 ▼a In contrast, the SD or the Low variety is associated with sarcasm, informality, low-prestige, and everyday topics. It revealed that the Saudi Twitter community switched to the SD for the following social motivations:
520 ▼a 1. for a specific intended meaning 2. for sarcasm and criticism 3. for quotations 4. for exemplifying and simplification 5. for introducing daily-life sayings 6. for scolding and personal attack or insult 7. for common usage.
520 ▼a Regarding the role of topic in CS patterns, the present study provided evidence against Ferguson's prediction (1959) in which he associated code choice with the topic and situation. It revealed that CS occurred in different contexts that varied
520 ▼a As for gender, the study found that men utilized SA more than women, and this confirms previous findings of Ibrahim (1986), and Abd-El-Jawad (1987), Badawi (1973), and Haeri (1996a), Schmidt (1974), and Walters (1996) that women with the same le
520 ▼a Regarding education, the present study found that the Saudi Twitter users with high and college education used SA more than their counterparts with less than college education. However, the current study should have considered age in addition to
590 ▼a School code: 0127.
650 4 ▼a Middle Eastern studies.
690 ▼a 0555
71020 ▼a University of Michigan. ▼b Near Eastern Studies.
7730 ▼t Dissertation Abstracts International ▼g 79-12A(E).
773 ▼t Dissertation Abstract International
790 ▼a 0127
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000603 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자