| 000 | 02988cam a2200337 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223032604.0 | ||
| 008 | 200927s2020 ua o f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aPh.D | ||
| 099 | _aCai01.02.12.Ph.D.2020.Am.L | ||
| 100 | 0 | _aAmira Hanafi Sayed Elzohiery | |
| 245 | 1 | 2 |
_aA linguistic study of selected tweets written in English : _bA genre analysis / _cAmira Hanafi Sayed Elzohiery ; Supervised Amani Abdulhamid Badawy , Randa Anwar Mohamed Halim |
| 246 | 1 | 5 | _aدراسة لغوية فى تحليل النوع لنماذج مختارة من التغريدات المكتوبة باللغة الأنجليزية |
| 260 |
_aCairo : _bAmira Hanafi Sayed Elzohiery , _c2020 |
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| 300 |
_a289 P. : _bphotoghrphs ; _c25cm |
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| 502 | _aThesis (Ph.D.) - Cairo University - Faculty of Arts - Department of English | ||
| 520 | _aThis study investigated the linguistic and hypertextual features surrounding hashtag campaigning on Twitter through eleven of the top trending hashtags that endorsed social, political, and humanitarian causes during 2016-2018. It customized the traditional genre analysis model by Bhatia (1993), Casañ-Pitarch{u2018}s multi-genre structures model (2017), and Nielsen and Askehave (2005) framework on digital genres to better suit the nature of Twitter hashtag campaigns. Accordingly, the study devised a new eclectic model that can be utilized in analyzing other different digital genres. Through employing the new model, the study adopted a mixed method approach to analyze a corpus of 33,000 tweets written in English in eleven hashtag campaigns. These hashtags included #BlackLivesMatter, #NeverTrump, #TimesUp, #Metoo, #NetNeutrality, #SaveAleppo, #MakeAmericaGreatAgain, #YemenInquiryNow, #FeelTheBern, #InternationalWomensDay, and #NeverHillary. Using manual analysis and methods of corpus linguistics, an extensive genre analysis was conducted in terms of the micro-linguistic and hypertextual features of these hashtags. The analysis showed that the hashtag campaigns varied in the choice and the frequency of the hypertextual and micro-linguistic features used in each campaign. Although the selected hashtag campaigns belonged to one genre and had one communicative purpose which is propagating for a certain cause, this purpose was achieved through reporting only information or through interaction with the readers. Also, there were a number of hypertextual and linguistic similarities and differences between the selected political, social, and humanitarian hashtag campaigns | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aHashtag Activism | |
| 653 | 4 | _aHashtags | |
| 653 | 4 | _aTwitter | |
| 700 | 0 |
_aAmani Abdulhamid Badawy , _eSupervisor |
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| 700 | 0 |
_aRanda Anwar Mohamed Halim , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
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| 905 |
_aShimaa _eCataloger |
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| 942 |
_2ddc _cTH |
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| 999 |
_c77937 _d77937 |
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