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Submission declined on 5 April 2024 by
Jeraxmoira (
talk). This submission is not adequately supported by
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verified. If you need help with referencing, please see
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Citing sources. This submission's references do not show that the subject
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Jack Grieve (born 1979) is a Canadian linguist. Since 2017, he has been employed as a Professor of Corpus Linguistics at the University of Birmingham in the United Kingdom [1]. He received his PhD in 2009 in Applied Linguistics under the supervision of Douglas Biber at the Northern Arizona University [1]. Previously, he was employed as a post-doctoral research fellow in Dirk Geeraerts's Quantitative Lexicology and Variational Linguistics research unit at the University of Leuven in Belgium and then as a Lecturer and Senior Lecturer in Forensic Linguistics at the Centre for Forensic Linguistics at Aston University in the United Kingdom [1]. He was also a Turing Fellow at the Alan Turing Institute [1]. In addition to numerous journal articles and book chapters, he has published two books: Regional Variation in Written American English [2] [3] [4] [5] and The Language of Fake News [6].
His main research interest involves studying language variation and change through the computational analysis of large corpora of natural language, known as computational sociolinguistics [7] [8]. Much of his research in this area has focused on regional dialect variation in the English language based on large corpora of newspaper articles [2] and social media data [9] [10] [11], including mapping the use of interjections [12] [13] and profanity [14] [15] [16]. He has also studied the spread of neologisms in American English [17] [18] [19] [20] [21] [22]. In addition, he has conducted research in the field of authorship analysis, including investigations into the authorship of the Bitcoin white paper [23] [24] [25], the Bixby Letter [26] [27] [28], and Donald Trump's social media posts [29] [30] [31].
![]() | Review waiting, please be patient.
This may take 4 months or more, since drafts are reviewed in no specific order. There are 2,801 pending submissions waiting for review.
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You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
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Submission declined on 5 April 2024 by
Jeraxmoira (
talk). This submission is not adequately supported by
reliable sources. Reliable sources are required so that information can be
verified. If you need help with referencing, please see
Referencing for beginners and
Citing sources. This submission's references do not show that the subject
qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published,
reliable,
secondary sources that are
independent of the subject (see the
guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see
technical help and learn about
mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. | ![]() |
Jack Grieve (born 1979) is a Canadian linguist. Since 2017, he has been employed as a Professor of Corpus Linguistics at the University of Birmingham in the United Kingdom [1]. He received his PhD in 2009 in Applied Linguistics under the supervision of Douglas Biber at the Northern Arizona University [1]. Previously, he was employed as a post-doctoral research fellow in Dirk Geeraerts's Quantitative Lexicology and Variational Linguistics research unit at the University of Leuven in Belgium and then as a Lecturer and Senior Lecturer in Forensic Linguistics at the Centre for Forensic Linguistics at Aston University in the United Kingdom [1]. He was also a Turing Fellow at the Alan Turing Institute [1]. In addition to numerous journal articles and book chapters, he has published two books: Regional Variation in Written American English [2] [3] [4] [5] and The Language of Fake News [6].
His main research interest involves studying language variation and change through the computational analysis of large corpora of natural language, known as computational sociolinguistics [7] [8]. Much of his research in this area has focused on regional dialect variation in the English language based on large corpora of newspaper articles [2] and social media data [9] [10] [11], including mapping the use of interjections [12] [13] and profanity [14] [15] [16]. He has also studied the spread of neologisms in American English [17] [18] [19] [20] [21] [22]. In addition, he has conducted research in the field of authorship analysis, including investigations into the authorship of the Bitcoin white paper [23] [24] [25], the Bixby Letter [26] [27] [28], and Donald Trump's social media posts [29] [30] [31].