• Comment: Please remove the WP:REFBOMBING. Articles he has written are not reliable, independent sources, nor do they help to show notability. C F A 💬 17:08, 31 July 2024 (UTC)

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].

References

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  1. ^ a b c d "Professor Jack Grieve". University of Birmingham. Retrieved 2024-04-05.
  2. ^ a b Grieve, Jack (2016). Regional Variation in Written American English. Studies in English Language. Cambridge: Cambridge University Press. doi:10.1017/cbo9781139506137. ISBN 978-1-107-03247-7.
  3. ^ Smith, Jordan (2019). "Review : Grieve (2016) Regional Variation in Written American English". Corpora. 14 (1): 131–134. doi:10.3366/cor.2019.0164. ISSN 1749-5032.
  4. ^ Schneier, Joel (2016-11-01). "Dialect Mapping in the Twenty-First Century: Regional Dialect Mapping of Grammatical Variation in a Text-Based Corpus". American Speech. 91 (4): 523–531. doi:10.1215/00031283-3870185. ISSN 0003-1283.
  5. ^ Zhang, Ying; Lei, Lei (2018). "Dialectology with more sophisticated methods - Jack Grieve, Regional Variation in Written American English. Cambridge: Cambridge University Press, 2016. Pp. xviii + 335. Hardback $110.00, ISBN: 9781107032477". English Today. 34 (2): 58–60. doi:10.1017/S0266078417000335. ISSN 0266-0784.
  6. ^ Grieve, Jack; Woodfield, Helena (March 2023). "The Language of Fake News". Elements in Forensic Linguistics. doi:10.1017/9781009349161. ISBN 978-1-009-34916-1.
  7. ^ "Computational Sociolinguistics | Frontiers Research Topic". www.frontiersin.org. Retrieved 2024-04-05.
  8. ^ Tatman, Rachael (2017-06-13). "What is computational sociolinguistics? (And who's doing it?)". Retrieved 2024-04-11.
  9. ^ Huang, Yuan; Guo, Diansheng; Kasakoff, Alice; Grieve, Jack (2016-09-01). "Understanding U.S. regional linguistic variation with Twitter data analysis". Computers, Environment and Urban Systems. 59: 244–255. Bibcode:2016CEUS...59..244H. doi:10.1016/j.compenvurbsys.2015.12.003. ISSN 0198-9715.
  10. ^ Grieve, Jack; Montgomery, Chris; Nini, Andrea; Murakami, Akira; Guo, Diansheng (2019). "Mapping Lexical Dialect Variation in British English Using Twitter". Frontiers in Artificial Intelligence. 2: 11. doi:10.3389/frai.2019.00011. ISSN 2624-8212. PMC 7861259. PMID 33733100.
  11. ^ "Twitter is useful for many things—including (unexpectedly) for studying dialects". The Economist. ISSN 0013-0613. Retrieved 2024-04-11.
  12. ^ Sonnad, Nikhil (2014-09-15). "Um, here's an, uh, map that shows where Americans use "um" vs. "uh"". Quartz. Retrieved 2024-04-11.
  13. ^ Erard, Michael (2014-11-18). "Things That Make You Go 'Um'". The Atlantic. ISSN 2151-9463. Retrieved 2024-04-11.
  14. ^ Volokh, Eugene (2021-10-23). "Mapping swearing throughout the U.S." Washington Post. ISSN 0190-8286. Retrieved 2024-04-11.
  15. ^ Gajanan, Mahita (2015-07-17). "Want to know how to curse like a proper American? Have a look at these maps". The Guardian. ISSN 0261-3077. Retrieved 2024-04-11.
  16. ^ "Which Curse Words Are Popular In Your State? Find Out From These Maps". HuffPost. 2015-07-17. Retrieved 2024-04-11.
  17. ^ Grieve, Jack; Nini, Andrea; Guo, Diansheng (2017). "Analyzing lexical emergence in Modern American English online". English Language & Linguistics. 21 (1): 99–127. doi:10.1017/S1360674316000113. ISSN 1360-6743.
  18. ^ Grieve, Jack; Nini, Andrea; Guo, Diansheng (2018). "Mapping Lexical Innovation on American Social Media". Journal of English Linguistics. 46 (4): 293–319. doi:10.1177/0075424218793191. ISSN 0075-4242.
  19. ^ Sonnad, Nikhil (2015-07-29). "How brand-new words are spreading across America". Quartz. Retrieved 2024-04-11.
  20. ^ "Linguistic researchers begin hunt for the next 'selfie'". The Telegraph. 2014-03-03. Retrieved 2024-04-11.
  21. ^ "Redefining the Modern Dictionary". TIME. 2016-05-12. Retrieved 2024-04-11.
  22. ^ Andrews, Wilson; Katz, Josh (2015-02-22). "Language Quiz: Are You on Fleek?". The New York Times. ISSN 0362-4331. Retrieved 2024-04-11.
  23. ^ "The linguistic verdict: Dorian is probably not Satoshi". www.ft.com. Retrieved 2024-04-11.
  24. ^ Vigna, Paul. "Bitcoin Creator 'Satoshi Nakamoto' Unmasked–Again?". WSJ. Retrieved 2024-04-11.
  25. ^ Griswold, Alison (2014-04-16). "Another Father of Bitcoin?". Slate. ISSN 1091-2339. Retrieved 2024-04-11.
  26. ^ Grieve, Jack; Clarke, Isobelle; Chiang, Emily; Gideon, Hannah; Heini, Annina; Nini, Andrea; Waibel, Emily (2018). "Attributing the Bixby Letter using n-gram tracing". Digital Scholarship in the Humanities. 34 (3): 493–512. doi:10.1093/llc/fqy042. ISSN 2055-7671.
  27. ^ "A Century-Old Abraham Lincoln Mystery May Finally Have an Answer". TIME. 2017-07-19. Retrieved 2024-04-11.
  28. ^ Lowe, Josh (2017-07-20). "Abraham Lincoln Bixby Letter 'Was Written By John Hay'". Newsweek. Retrieved 2024-04-11.
  29. ^ Zimmer, Ben (2017-12-08). "Have Forensic Linguists Uncovered the Real Author of a Trump Tweet?". The Atlantic. Retrieved 2024-04-11.
  30. ^ Clarke, Isobelle; Grieve, Jack (2019). "Stylistic variation on the Donald Trump Twitter account: A linguistic analysis of tweets posted between 2009 and 2018". PLOS ONE. 14 (9): e0222062. Bibcode:2019PLoSO..1422062C. doi:10.1371/journal.pone.0222062. ISSN 1932-6203. PMC 6760825. PMID 31553740.
  31. ^ Stix, Gary. "Two Linguists Use Their Skills to Inspect 21,739 Trump Tweets". Scientific American. Retrieved 2024-04-11.
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