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Exploring Twitter's impact on political agenda setting in Russia and Germany regarding migrant discussions. Analyzing media hybridization, public sphere formation, and network communication theories within socio-political contexts. Investigating polarization, media roles, and discourse analysis in Twitter conversations. Study includes web crawling, frame analysis, descriptive statistics, and discourse analysis. Identifying features, trends, and triggers in Twitter discussions, with an emphasis on sentiment, blame attribution, and semantic analysis.
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Saint PetersburgState University Role of Twitter in formation of political agendain various socio-political contexts:the cases of discussions on migrants in Russia and Germany Svetlana Bodrunova, PhD, Anna Litvinenko, PhD School ofJournalismandMass Communications St. Petersburg State University
Saint PetersburgState University Theoretical premises • 1. Hybridization of media systems (Chadwick 2011, 2013): • - Tech-based growth of the web segment of media systems brings in new societal and political cleavages • - Difference in hybridization patterns depends most upon national socio-political conditions (Adam&Pfetsch 2011) • 2. Media-constructed public sphere: • - Media as ‘junctions’ of the public sphere => mediatization? • 3. Network(ed) communication theory: • Formation of closed-up communicative milieus (‘echo chambers’) • The idea of ‘spill-overs’ (online to offline, traditional/new media)
Saint PetersburgState University Twitter as a communicative milieu: optimism vs. pessimism • Twitter as the milieu of platform-limited horizontal communication with a big news alerts potential (Mancini&Mazzoni 2013, Vaccariet al. 2013) • Twitter as a de-politicized space for gaming, dating, and chats (Fuchs 2014: Chapter 8) • Can Twitter be a ‘crossroads of opinion’ in the online public sphere?
Saint PetersburgState University Public Sphere in Russia and in Germany • Russia in 21st century is a fundamentally fragmented society (Zubarevich2011, 2013): «Four Russias» • Bodrunova, Litvinenko 2013: formation of the public counter-sphere in Russia of 2008-2012 • Germany, in these terms, has developed a more solid society, with the differences between Eastern and Western part gradually diminishing in many terms; the only striking similarity is huge urban migrant population from the southern direction still under-represented in the media content. Germany has a large number of citizens with migrant background and big diasporas, e.g. Turkish- and Russian-speaking communities which, in terms of media use, often differ from national average indicators (Sauer 2010)
Saint PetersburgState University Project «Political agendasin hybrid media systems» • Research team: Svetlana Bodrunova, Dmitry Gavra, Anna Litvinenko, Alena Savizkaya, Anna Smolyarova,AlexandrYakunin • Research upon structural and framing features of Twitter discussions in Russia and Germany • Roles of media accounts in discussions upon polarizing issues • overall mediatization • linkages between media and non-media accounts (the ‘crossroads’ issue) • A case of social polarization: anti-migrant bashings in Biryulyovodistrict of Moscow in October 2013 • A ‘calm’period in Russiaand in Germany (March 2014)
Saint PetersburgState University Mixed methodology • Web crawling based on pre-selected hashtags • Frame analysis based on coding of tweets • Descriptive statistics • Discourse analysis (including semantic groups of lexicon and their interpretation)
Saint PetersburgState University Time-series graphs
Saint PetersburgState University • STRUCTURE OF THE DISCUSSION:results of web crawling
Saint PetersburgState University Web graph: Russia, Biryulyovo • political actors • media • ordinary users • fake/spam
Web-graph: Germany • Political actors • Media • Ordinary users • NGOs
Web-graph: Russia • Political actors • Media • Ordinary users • Nationalist users • Official accounts • NGOs • Spin-doctoring(!)
Saint PetersburgState University • FEATURES OF THE DISCOURSE 15% of tweeets put blame on someone Just ONE tweet of 673 tells ‘it is the whole society to be blamed’ 10% contain nationalist speech 11% contain hate speech
Saint PetersburgState University • Features of the discourse: • discussion topics
Saint PetersburgState University • Features of the discourse: • Tweeters’ mood
Saint PetersburgState University • Features of the discourse: • Tweeters’ mood
Saint PetersburgState University Polarizationofthepublicsphere on Twitter
Saint PetersburgState University • Features of the discourse: origins of discussants
Saint PetersburgState University • Features of the discourse: who is to be blamed? 15% = 100 tweets
Saint PetersburgState University Semantic analysis:First 600 stems from the word dataset
Saint PetersburgState University • MEDIATIZATION OF THE DISCUSSION
Saint PetersburgState University • Mediatization of the discussion: media dominate in N of tweets
Saint PetersburgState University Some results in hashtagging • mediatization really high:«breaking news», «news», «novosti», «they say that…», «RIA», «media», «Lifenews», «RT» • national-level political actors: Putin, ‘United Russia’ party, Navalny, Public Chamber • scarce aspect thinking: introduction of visas, football • other issues: LGBT; corruption.
Saint PetersburgState University ‘Discussion triggers’ • mediatization: both real and fake! • media of various Russian public spheres • nationalists outperform migrants • the role of Public Chamber
Saint PetersburgState University Positionsofmedia in thediscussion
Saint PetersburgState University Tweeted media content vs. involved media content N = 677 tweets
Saint PetersburgState University Conclusion • Twitter in Russia shows a bigger potential for becoming a real "crossroads of opinions", in contrast to the Russian Facebook where anti-governmental discourse predominates, as well as to Vkontakte where political debate is much less noticeable and is encapsulated in closed-up communities. BUT under-representation of migrant community in Twitter obstacles this. • In Russian Twitter, hybrid pro-elite media dominate represented by lifenews_ru, izvestia_ru, pravda.ru, RT_russia, onlinekpru etc., although the anti-mainstreem media are also among influencers (GraniTweet, SvobodaRadio, MaloverjanBBC, ru_rbc). • In general, the case study supported hypothesis about the different role of Twitter in different socio-political contexts.
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