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  • A quantitative discourseprominence analysis of

    Sputnik Czech RepublicVáclav Cvrček

    New Media Inspiration: Digital HumanitiesOctober 19, 2019

  • AcknowledgementLong-term cooperation with Mako Fidler (Brown University):

    ▶ Cvrček, V. – Fidler, M. (2019): More than keywords: Discourseprominence analysis of the Russian Web portal Sputnik Czech Republic.In: Berrocal, M. – Salamurović, A. (eds): Political Discourse in Central,Eastern and Balkan Europe. John Benjamins. (p. 93–117).

    ▶ Fidler, M. – Cvrček V. (2018): Going Beyond “Aboutness”: AQuantitative Analysis of Sputnik Czech Republic. In: Fidler, M. – Cvrček,V. (eds): Taming the Corpus. From Inflection and Lexis to Interpretation.Springer, (p. 195–225).

  • IntroductionIj

  • Motivation

    Corpus linguistics methods in discourse analysis

    ▶ study of political discourse (previous research on presidentialspeeches)

    ▶ uncovering hidden strategies by identifying prominent units(keyword analysis, KWA)

    ▶ methodological innovation: extend KWA by also taking intoconsideration the grammar (morphemes as meaning-bearingunits)

  • Sputnik

    ▶ “alternative” news portal (https://cz.sputniknews.com/)– “Sputnik. Telling the untold.”

    ▶ established in November 2014 by the Russian state mediagroup Rossia segodnia, which replaced the previous RIANovosti

    ▶ 30 foreign-language portals of Sputnik for the internationalaudience

    ▶ engaged in disinformation activities (Smoleňová, 2015) andproviding “false stories” (MacFarquhar, 2016); Sputnik is the“BuzzFeed” of the Kremlin’s propaganda (Groll, 2014)

    https://cz.sputniknews.com/

  • Sputnik

    ▶ “alternative” news portal (https://cz.sputniknews.com/)– “Sputnik. Telling the untold.”

    ▶ established in November 2014 by the Russian state mediagroup Rossia segodnia, which replaced the previous RIANovosti

    ▶ 30 foreign-language portals of Sputnik for the internationalaudience

    ▶ engaged in disinformation activities (Smoleňová, 2015) andproviding “false stories” (MacFarquhar, 2016); Sputnik is the“BuzzFeed” of the Kremlin’s propaganda (Groll, 2014)

    https://cz.sputniknews.com/

  • Sputnik

    ▶ “alternative” news portal (https://cz.sputniknews.com/)– “Sputnik. Telling the untold.”

    ▶ established in November 2014 by the Russian state mediagroup Rossia segodnia, which replaced the previous RIANovosti

    ▶ 30 foreign-language portals of Sputnik for the internationalaudience

    ▶ engaged in disinformation activities (Smoleňová, 2015) andproviding “false stories” (MacFarquhar, 2016); Sputnik is the“BuzzFeed” of the Kremlin’s propaganda (Groll, 2014)

    https://cz.sputniknews.com/

  • Sputnik

    ▶ “alternative” news portal (https://cz.sputniknews.com/)– “Sputnik. Telling the untold.”

    ▶ established in November 2014 by the Russian state mediagroup Rossia segodnia, which replaced the previous RIANovosti

    ▶ 30 foreign-language portals of Sputnik for the internationalaudience

    ▶ engaged in disinformation activities (Smoleňová, 2015) andproviding “false stories” (MacFarquhar, 2016); Sputnik is the“BuzzFeed” of the Kremlin’s propaganda (Groll, 2014)

    https://cz.sputniknews.com/

  • Partiality vs. imageAdherence to journalistic style (Smoleňová, 2015) – citation ”mania”

    podle ’according to’ Relative frequency (ipm)Sputnik 2923SYN2015 (news & mag.) 1498

    ▶ Zahraniční dobrovolníci bojující na straně domobranců v Donbasuprozradili, že přijeli pomoci místním obyvatelům, kteří se ocitli uprostředskutečného „masakru“, píše Sputnik s odkazem na reportáž italskéhoprogramu Le Lene [sic].(https://cz.sputniknews.com/svet/20150331188150/)‘International volunteers fighting on the home-defenders’ side in Donbasrevealed that they came to help the local residents who found themselvesin the midst of a real “massacre,” writes Sputnik, with a link to thestory of [from] the Italian channel Le Iene.’ (= a comedy-satirical TVshow that provides “infotainment,” a mixture of “journalistic inquiry withentertainment”)

  • Partiality vs. imageAdherence to journalistic style (Smoleňová, 2015) – citation ”mania”

    podle ’according to’ Relative frequency (ipm)Sputnik 2923SYN2015 (news & mag.) 1498

    ▶ Zahraniční dobrovolníci bojující na straně domobranců v Donbasuprozradili, že přijeli pomoci místním obyvatelům, kteří se ocitli uprostředskutečného „masakru“, píše Sputnik s odkazem na reportáž italskéhoprogramu Le Lene [sic].(https://cz.sputniknews.com/svet/20150331188150/)‘International volunteers fighting on the home-defenders’ side in Donbasrevealed that they came to help the local residents who found themselvesin the midst of a real “massacre,” writes Sputnik, with a link to thestory of [from] the Italian channel Le Iene.’ (= a comedy-satirical TVshow that provides “infotainment,” a mixture of “journalistic inquiry withentertainment”)

  • DataIj

  • Data

    Sputnik Czech Republic (SPUCz)

    ▶ texts published from March to June 2015▶ containing seed words (stems): česk-, čr, prah-, hrad-, zeman-,

    ukrajin-, kyjev-, porošenk-; bělorusk-, minsk-, lukašenk-; rusk-,moskv-, putin-

    ▶ SPUCz – how Sputnik projects images of Russia and Ukraineduring the Ukrainian crisis (Russia’s annexation of Crimea, theMalaysian Air crash, and the Minsk Agreements) and theirrelations to the Czech Republic.

  • Corpora used

    Name Unit SizeTagret corpus tokens 395,110SPUCz words (excl. punctuation) 336,653

    texts 1492Reference corpus tokens 121,666,414SYN2015 words (excl. punctuation) 100,838,568

  • MethodIj

  • Method – keyword analysis (KWA)

    ▶ text can be characterized by its prominent linguistic units▶ a prominent words (a keyword) can be identified by

    comparison with reference corpus▶ statistical significance + effect size (DIN, Fidler & Cvrček

    2015)▶ reference corpus = interpretation perspective

    ▶ KWs – pointers to the meaning▶ keyword analysis – literary texts (e.g., Culpeper, 2002; Scott

    & Tribble, 2006; Walker, 2010), media (e.g., Baker, 2005 onLGBT discourse; Baker & McEnery, 2005 on immigration; andTabbert, 2015 on crime)

  • Beyond keywords

    Keymorph analysis (KMA)

    ▶ prominent morphemes – meaning-bearing parts of words(prominent morpho-syntactic features: cases, tenses etc.)

    ▶ little attention in studies of English texts▶ representation of events and participants in discourse,

    especially the degrees of agency expressed in texts (Fidler &Cvrček 2019)

    ▶ use of “ideological” words can be suppressed, but you cannotsuppress grammar

  • Results: Keyword analysisIj

  • KLs: prominent lemmas

    KLs – associated with prominent topics raised in SPUCz:▶ anti-Russian actions▶ negotiations about Ukraine▶ Ukrainian “aggression”

    KLs themselves do not directly show how the lemmas are used, asthey are only pointers to what the text is about.

  • KWs: Most prominent word-forms

    KW DINprotiruská ‘anti-Russian’ (fem nom sg) 100.00domobrancům ‘to home-defenders’ (dat pl) 100.00domobranců ‘of home-defenders’ (gen pl) 99.941třístranná ‘tri-lateral’ (fem nom sg) 99.891vrtulníkových ‘of helicopter’ (gen, loc pl) 99.891domobranci ‘home-defenders’ (nom pl) 99.873neonacismus ‘neonacism’ (nom acc sg) 99.869default ‘of default’ (gen sg) 99.855batalionů ‘of batallions’ (gen pl) 99.837

  • KWs (cont’d)

    KWs are associated with prominent topics + discourse role:

    ▶ The fem nom sg case of the adjective protiruská ‘anti-Russian’highlights Sputnik’s emphasis on the anti-Russian rhetoric,campaign, and hysteria (all fem nouns)

    ▶ Domobrancům ‘to home-defenders’ suggests contentiousdispute over arms supply by Russia to the separatists andfighting against the separatists (dative case).

  • KWs (cont’d)

    KWs are associated with prominent topics + discourse role:

    ▶ The fem nom sg case of the adjective protiruská ‘anti-Russian’highlights Sputnik’s emphasis on the anti-Russian rhetoric,campaign, and hysteria (all fem nouns)

    ▶ Domobrancům ‘to home-defenders’ suggests contentiousdispute over arms supply by Russia to the separatists andfighting against the separatists (dative case).

  • Using contextIj

  • Collocates of ukrajinský and ruský

  • Collocations (cont’d)

    Collocations indicate connotations

    ▶ (large overlap between semantic domians of collocates)▶ Ukrainian has more collocates connected with military forces

    and political instability (‘army’, ‘of force’, ‘crisis’, ‘conflict’,‘[army] division’, ‘armed’, ‘force’) than Russian.

    ▶ Russian collocates with lemmas report official negotiationsand announcements (‘diplomacy’, ‘relation- ship’,‘spokesman’, ‘of press’, ‘delegation’).

  • KL-links: co-occurrences of KWs in distantcontext

  • KL links (cont’d)

    KL-links – connections among prominent topics in discourse

    ▶ (apart from usual attributes of state/nationality, e.g.president, verba dicendi)

    ▶ ruský: economic connections: ‘sanction(s)’ (against Russia)and ‘gas’

    ▶ ukrajinský: armed participants and conflict

    Both collocations and KL-links consistently include armed andconflict for Ukrainian

  • Victimization of RussiaIj

  • Victimization I: verbs

    Verbs of unfavorable actions (VUs): keyd verbs that report eventsin which a culprit and victim can potentially exist

    VUs: torédovat ‘to torpedo’, démonizovat ‘to demonize’, ostřelovat‘to shoot, to shell’, obstavit ‘to freeze [assets]’, uvalit ‘to impose[sanctions]’, znepokojit ‘alarm, pf’, sestřelit ‘to shoot down’,destabilizovat ‘to destabilize’, podkopat ‘to undermine pf’,porušovat ‘to violate, impf’, podkopávat ‘to undermine impf’,zmařit ‘to thwart’, vyprovokovat ‘to provoke’, pobouřit ‘tooutrage’, postrkovat ‘to push’, bombardovat ‘to bombard’,zkreslovat ‘to distort’, znepokojovat ‘to alarm, impf’

  • Victimization I: verbs (cont’d)

    (results for Russia: chi2 = 37.133, p < 0.0001)

    Verbs of unfavorable actions (VUs)

    ▶ grammatical participants of VUs can inform who is viewed astaking negative actions and who is affected by those actions

    ▶ Russia appears more often in the passive voice than the activevoice of VUs

    ⇒ Russia as target of unfavourable actions

  • Victimization I: verbs (cont’d)

    (results for Russia: chi2 = 37.133, p < 0.0001)

    Verbs of unfavorable actions (VUs)

    ▶ grammatical participants of VUs can inform who is viewed astaking negative actions and who is affected by those actions

    ▶ Russia appears more often in the passive voice than the activevoice of VUs

    ⇒ Russia as target of unfavourable actions

  • Victimization I: verbs (cont’d)

    (results for Russia: chi2 = 37.133, p < 0.0001)

    Verbs of unfavorable actions (VUs)

    ▶ grammatical participants of VUs can inform who is viewed astaking negative actions and who is affected by those actions

    ▶ Russia appears more often in the passive voice than the activevoice of VUs

    ⇒ Russia as target of unfavourable actions

  • Victimization II: cases

    Cases contribute significantly to the image of the referent

    ▶ nominative – signals agency▶ dative – signals that the referent is represented as the

    experiencer or victim▶ instrumental – means by which actions are carried out; the

    preposition s ‘with’ suggests that the referent is portrayed asa companion

  • Victimization II: cases – Putin vs. Porošenko

    ▶ Putin is represented as an active participant (agent or partnerin joint actions): image of a strong (and collaborative) leader

    ▶ Porošenko is portrayed as a recipient and experiencer ofactions possibly carried out by someone else

  • Victimization II: cases – Putin vs. Porošenko

    ▶ Putin is represented as an active participant (agent or partnerin joint actions): image of a strong (and collaborative) leader

    ▶ Porošenko is portrayed as a recipient and experiencer ofactions possibly carried out by someone else

  • Victimization II: cases – Putin vs. Porošenko

    ▶ Putin is represented as an active participant (agent or partnerin joint actions): image of a strong (and collaborative) leader

    ▶ Porošenko is portrayed as a recipient and experiencer ofactions possibly carried out by someone else

  • Victimization III: cases – Russia vs. Ukraine

    The prominence of dative and instrumental corresponds to themost likely semantic roles played by the lemma Rusko.

  • Victimization III: cases – Russia vs. Ukraine

    The prominence of dative and instrumental corresponds to themost likely semantic roles played by the lemma Rusko.

  • Victimization III: cases – Russia vs. Ukraine

    ⇒ Russia is portrayed not as a territory but as a victim or objectof actions

  • Victimization III: cases – Russia vs. Ukraine

    ⇒ Russia is portrayed not as a territory but as a victim or objectof actions

  • Examples

    ▶ Obama prodloužil sankce proti Ruskudat o rok‘Obama extended the sanctions against Russiadat for a year’

    ▶ Ukrajina se integruje do struktur NATO a Evropské unie amění se v stát nepřátelský vůči Ruskudat.‘Ukraine integrates into the structures of NATO and theEuropean Union and changes into an unfriendly state towardsRussiadat.’

    ▶ Jak republikánští “jestřábi”, tak i demokraté trvají na nutnostiozbrojit Kyjev s konečným cílem zasadit Ruskudat smrtelnouránu, [...]‘Both Republican “hawks” and Democrats insist on the needto arm Kiev with the final goal to strike a fatal blow toRussiadat.’

  • ConclusionIj

  • Conclusion▶ isolated prominent words (KWs and KLs)

    ▶ empathy towards Ukrainian separatists, concern aboutanti-Russian actions and Russophobia

    ▶ …serve as a starting point for researchers to focus on aspectsof Russia and Ukraine

    ▶ keymorph analysis – role of participants in the discourse

    ▶ passive voice for VUs + subject (Russia) ⇒ consistentrepresentation of Russia as a victim

    ▶ case endings prominence (Putin × Porošenko, Rusko ×Ukrajina):

    ▶ for Ukrajina and Porošenko point to the inadequate presidencyin Ukraine

    ▶ for Rusko and Putin point to the representation of avictimized state and a need for a strong presidency in Russia

    ▶ …suggests a consistent pattern of (de)legitimization of stateleadership in Russia and Ukraine and possibly legitimization ofRussian actions

  • Conclusion▶ isolated prominent words (KWs and KLs)

    ▶ empathy towards Ukrainian separatists, concern aboutanti-Russian actions and Russophobia

    ▶ …serve as a starting point for researchers to focus on aspectsof Russia and Ukraine

    ▶ keymorph analysis – role of participants in the discourse

    ▶ passive voice for VUs + subject (Russia) ⇒ consistentrepresentation of Russia as a victim

    ▶ case endings prominence (Putin × Porošenko, Rusko ×Ukrajina):

    ▶ for Ukrajina and Porošenko point to the inadequate presidencyin Ukraine

    ▶ for Rusko and Putin point to the representation of avictimized state and a need for a strong presidency in Russia

    ▶ …suggests a consistent pattern of (de)legitimization of stateleadership in Russia and Ukraine and possibly legitimization ofRussian actions

  • Conclusion▶ isolated prominent words (KWs and KLs)

    ▶ empathy towards Ukrainian separatists, concern aboutanti-Russian actions and Russophobia

    ▶ …serve as a starting point for researchers to focus on aspectsof Russia and Ukraine

    ▶ keymorph analysis – role of participants in the discourse

    ▶ passive voice for VUs + subject (Russia) ⇒ consistentrepresentation of Russia as a victim

    ▶ case endings prominence (Putin × Porošenko, Rusko ×Ukrajina):

    ▶ for Ukrajina and Porošenko point to the inadequate presidencyin Ukraine

    ▶ for Rusko and Putin point to the representation of avictimized state and a need for a strong presidency in Russia

    ▶ …suggests a consistent pattern of (de)legitimization of stateleadership in Russia and Ukraine and possibly legitimization ofRussian actions

  • Conclusion▶ isolated prominent words (KWs and KLs)

    ▶ empathy towards Ukrainian separatists, concern aboutanti-Russian actions and Russophobia

    ▶ …serve as a starting point for researchers to focus on aspectsof Russia and Ukraine

    ▶ keymorph analysis – role of participants in the discourse

    ▶ passive voice for VUs + subject (Russia) ⇒ consistentrepresentation of Russia as a victim

    ▶ case endings prominence (Putin × Porošenko, Rusko ×Ukrajina):

    ▶ for Ukrajina and Porošenko point to the inadequate presidencyin Ukraine

    ▶ for Rusko and Putin point to the representation of avictimized state and a need for a strong presidency in Russia

    ▶ …suggests a consistent pattern of (de)legitimization of stateleadership in Russia and Ukraine and possibly legitimization ofRussian actions

  • Conclusion▶ isolated prominent words (KWs and KLs)

    ▶ empathy towards Ukrainian separatists, concern aboutanti-Russian actions and Russophobia

    ▶ …serve as a starting point for researchers to focus on aspectsof Russia and Ukraine

    ▶ keymorph analysis – role of participants in the discourse▶ passive voice for VUs + subject (Russia) ⇒ consistent

    representation of Russia as a victim

    ▶ case endings prominence (Putin × Porošenko, Rusko ×Ukrajina):

    ▶ for Ukrajina and Porošenko point to the inadequate presidencyin Ukraine

    ▶ for Rusko and Putin point to the representation of avictimized state and a need for a strong presidency in Russia

    ▶ …suggests a consistent pattern of (de)legitimization of stateleadership in Russia and Ukraine and possibly legitimization ofRussian actions

  • Conclusion▶ isolated prominent words (KWs and KLs)

    ▶ empathy towards Ukrainian separatists, concern aboutanti-Russian actions and Russophobia

    ▶ …serve as a starting point for researchers to focus on aspectsof Russia and Ukraine

    ▶ keymorph analysis – role of participants in the discourse▶ passive voice for VUs + subject (Russia) ⇒ consistent

    representation of Russia as a victim▶ case endings prominence (Putin × Porošenko, Rusko ×

    Ukrajina):

    ▶ for Ukrajina and Porošenko point to the inadequate presidencyin Ukraine

    ▶ for Rusko and Putin point to the representation of avictimized state and a need for a strong presidency in Russia

    ▶ …suggests a consistent pattern of (de)legitimization of stateleadership in Russia and Ukraine and possibly legitimization ofRussian actions

  • Conclusion▶ isolated prominent words (KWs and KLs)

    ▶ empathy towards Ukrainian separatists, concern aboutanti-Russian actions and Russophobia

    ▶ …serve as a starting point for researchers to focus on aspectsof Russia and Ukraine

    ▶ keymorph analysis – role of participants in the discourse▶ passive voice for VUs + subject (Russia) ⇒ consistent

    representation of Russia as a victim▶ case endings prominence (Putin × Porošenko, Rusko ×

    Ukrajina):▶ for Ukrajina and Porošenko point to the inadequate presidency

    in Ukraine

    ▶ for Rusko and Putin point to the representation of avictimized state and a need for a strong presidency in Russia

    ▶ …suggests a consistent pattern of (de)legitimization of stateleadership in Russia and Ukraine and possibly legitimization ofRussian actions

  • Conclusion▶ isolated prominent words (KWs and KLs)

    ▶ empathy towards Ukrainian separatists, concern aboutanti-Russian actions and Russophobia

    ▶ …serve as a starting point for researchers to focus on aspectsof Russia and Ukraine

    ▶ keymorph analysis – role of participants in the discourse▶ passive voice for VUs + subject (Russia) ⇒ consistent

    representation of Russia as a victim▶ case endings prominence (Putin × Porošenko, Rusko ×

    Ukrajina):▶ for Ukrajina and Porošenko point to the inadequate presidency

    in Ukraine▶ for Rusko and Putin point to the representation of a

    victimized state and a need for a strong presidency in Russia

    ▶ …suggests a consistent pattern of (de)legitimization of stateleadership in Russia and Ukraine and possibly legitimization ofRussian actions

  • Conclusion▶ isolated prominent words (KWs and KLs)

    ▶ empathy towards Ukrainian separatists, concern aboutanti-Russian actions and Russophobia

    ▶ …serve as a starting point for researchers to focus on aspectsof Russia and Ukraine

    ▶ keymorph analysis – role of participants in the discourse▶ passive voice for VUs + subject (Russia) ⇒ consistent

    representation of Russia as a victim▶ case endings prominence (Putin × Porošenko, Rusko ×

    Ukrajina):▶ for Ukrajina and Porošenko point to the inadequate presidency

    in Ukraine▶ for Rusko and Putin point to the representation of a

    victimized state and a need for a strong presidency in Russia▶ …suggests a consistent pattern of (de)legitimization of state

    leadership in Russia and Ukraine and possibly legitimization ofRussian actions

  • References▶ Baker, P. & McEnery, T. (2005). A corpus-based approach to discourse of refugees and asylum seekers in

    UN and newspaper texts. Journal of Language and Politics, 4(2), 197–226.▶ Baker, P. (2005). The public discourse of gay men. London: Routledge.▶ Culpeper, J. (2002). Computers, language and characterisation. An analysis of six characters in Romeo and

    Juliet. In U. Melander-Marttala et al. (Eds.), Conversation in life and in literature. Uppsala, Sweden. 11–30▶ Cvrček, V. & Fidler, M. (2019): More than keywords: Discourse prominence analysis of the Russian Web

    portal Sputnik Czech Republic. In: Berrocal, M. – Salamurović, A. (eds): Political Discourse in Central,Eastern and Balkan Europe. John Benjamins. 93–117.

    ▶ Fidler, M. & Cvrček, V. (2015). A data-driven analysis of reader viewpoints: Reconstructing the historicalreader using keyword analysis. Journal of Slavic Linguistics, 23(2), 197–239.

    ▶ Fidler, M. & Cvrček V. (2018): Going Beyond “Aboutness”: A Quantitative Analysis of Sputnik CzechRepublic. In: Fidler, M. & Cvrček, V. (eds): Taming the Corpus. From Inflection and Lexis toInterpretation. Springer, 195–225.

    ▶ Fidler, M. & Cvrček, V. (2019). Keymorph analysis, or how morphosyntax informs discourse. CorpusLinguistics and Linguistic Theory. 15/1, 39–70.

    ▶ Groll, E. Elias. (2014). Kremlin’s ‘Sputnik’ newswire is the buzzfeed of propaganda. Foreign Policy.▶ Křen, M. et al. (2016). SYN2015: Representative Corpus of contemporary written Czech. In N. Calzolari et

    al. (Eds.), LREC’16 Proceedings Portorož, Slovenia: ELRA. 2522–2528▶ MacFarquhar, N. (2016, August 28). A powerful Russian weapon: The spread of false stories. The New

    York Times.▶ Scott, M. & Tribble, C. (2006). Textual patterns: Keyword and corpus analysis in language education.

    Amsterdam: John Benjamins.▶ Smoleňová, I. (2015, June). The pro-Russian disinformation campaign in the Czech Republic and Slovakia.

    Types of media spreading pro-Russian propaganda, their characteristics and frequently used narratives.Prague Security Studies Institute (PSSI).

    ▶ Tabbert, U. (2015). Crime and corpus. The linguistic representation of crime in the press. John Benjamins.▶ Walker, B. (2010). Wmatrix, key concepts and the narrator in Julian Barnes’s Talking It Over. In D.

    McIntyre & B. Busse (Eds.), Language and style. Basingstoke, UK: Palgrave Education. 364–387

  • Thank you for your attention

    IntroductionDataMethodResults: Keyword analysisUsing contextVictimization of RussiaConclusion