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Language and Text: Data, models, information and applications
Edited by Adam Pawłowski, Jan Mačutek, Sheila Embleton and George Mikros
[Current Issues in Linguistic Theory 356] 2021
► pp. 195–208

Calculating the victory chances

A stylometric insight into the 2018 Czech presidential election

| University of Ostrava

The goal of this chapter is to determine stylometric features and keywords of the selected texts produced by the candidates for the 2018 Czech presidential election, and to interpret whether these may have had any impact upon the final results. The stylometric indexes researched include MATTR (moving-average type-token ratio), ATL (average token length), TC (thematic concentration), STC (secondary thematic concentration), Q (activity), and VD (verb distances); finally, a keyword analysis for two chosen candidatesʼ programmes is carried out. The outcomes of the analyses show that each candidate adopts a special strategy to influence his electorate and that this strategy can be captured via stylometric methods.

Keywords: stylometry, quantitative linguistics, political discourse, presidential election, keyword analysis, Czech
Article outline
  • 1.Introduction
  • 2.Material and methods
  • 3.Results and interpretations
    • 3.1The new-year addresses: A stylometric perspective
    • 3.2Marek Hilšer vs. Michal Horáček: The keyword analysis
  • 4.Conclusions
  • Notes
  • References
Published online: 22 December 2021
DOI logo
https://doi.org/10.1075/cilt.356.13mis
References
Andreev, Sergey, Michal Místecký & Gabriel Altmann
2018 Sonnets: Quantitative inquiries. Lüdenscheid: RAM-Verlag.Google Scholar
Brezina, Vaclav, Tony McEnery & Stephen Wattam
2015 Collocations in context: A new perspective on collocation networks. International Journal of Corpus Linguistics 20(2). 139–173. DOI logoGoogle Scholar
Busemann, Adolf
1925 Die sprache der jugend als ausdruck der entwicklungsrhythmik [Language of youth as an expression of development rhythm]. Jena: Fischer.Google Scholar
Covington, Michael
2007 MATTR, version 2.0 for Windows. [URL] (27 April 2020.)
Covington, Michael & Joe McFall
2010 Cutting the Gordian knot: The moving-average type–token ratio (MATTR). Journal of Quantitative Linguistics 17(2). 94–100. DOI logoGoogle Scholar
Čech, Radek
2014 Language and ideology: Quantitative thematic analysis of New Year speeches given by Czechoslovak and Czech presidents (1949–2011). Quality & Quantity 48(2). 899–910. DOI logoGoogle Scholar
2016 Tematická koncentrace textu v češtině [Thematic concentration of text in Czech]. Praha: Ústav formální a aplikované lingvistiky.Google Scholar
Čech, Radek & Miroslav Kubát
2016 Text length and the thematic concentration of text. Mathematical Linguistics 2(1). 5–13.Google Scholar
Čech, Radek, Ioan-Iovitz Popescu & Gabriel Altmann
2014 Metody kvantitativní analýzy (nejen) básnických textů [Methods of quantitative analysis of (not only) poetic texts]. Olomouc: Univerzita Palackého v Olomouci.Google Scholar
euro.cz
2017 November 8. Volební model: Favority prezidentské volby jsou Zeman a Drahoš [The election model: Zeman and Drahoš are the favourites]. [URL] (27 April 2020.)
iRozhlas.cz
2017 December 27. Novoroční poselství kandidátů na prezidenta: jak hodnotí uplynulý rok a co si přejí v tom novém? [New-year messages from the presidential candidates: How do they sum up the previous year and what do they wish in the new one?]. [URL] (27 April 2020.)
Kilgarriff, Adam
2009 Simple maths for keywords. In Michaela Mahlberg, Victorina González-Díaz & Catherine Smith (eds.), Proceedings of corpus linguistics conference CL2009. Liverpool: University of Liverpool. [URL] (27 April 2020.)
Kubát, Miroslav, Vladimír Matlach & Radek Čech
2014 QUITA. Quantitative index text analyzer. Lüdenscheid: RAM-Verlag.Google Scholar
Kubát, Miroslav & Radek Čech
2016 Quantitative analysis of US presidential inaugural addresses. Glottometrics 34. 14–27.Google Scholar
Kubát, Miroslav
2017 Kvantitativní analýza žánrů [A quantitative analysis of genres]. Ostrava: Ostravská univerzita.Google Scholar
Melka, Tomi & Michal Místecký
2020 On stylometric features of H. Beam Piperʼs Omnilingual . Journal of Quantitative Linguistics, 27(3). 207–243. DOI logoGoogle Scholar
Musil, Michal
2018 January 27. Proč Zeman vyhrál a Drahoš prohrál [Why Zeman won, and Drahoš failed]. reportermagazin.cz. [URL] (27 April 2020.)
Rimkeit-Vit, Lyubov & Hanna Gnatchuk
2016 Euphemisms in political speeches by USA presidents. Glottometrics 35. 16–21.Google Scholar
Tait, Robert
2018 January 25. Czech presidential election on a knife-edge as challenger cries foul. theguardian.com. [URL] (27 April 2020.)
Wittgenstein, Ludwig
2001 [1953] Philosophical investigations. Hoboken, NJ: Blackwell.Google Scholar
Zörnig, Peter & Gabriel Altmann
2016 Activity in Italian presidential speeches. Glottometrics 35. 38–48.Google Scholar