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Ethnic Minorities of Central and Eastern Europe in the Internet Space

A Computer-Assisted Content Analysis

by Olga Alekseeva (Author) Hans-Georg Heinrich (Author)
©2014 Monographs 165 Pages

Summary

After the EU-accession of Eastern and Central European countries, the nations and ethnicities in this region face a re-definition of their cultural, social and political roles. Ethnic Minorities of Central and Eastern Europe in the Internet Space deals with the identity formation of twelve ethnic minorities in seven countries along the border of the European Union. Ethnicities in Latvia, Lithuania, Poland, Hungary and Slovakia as well as Belarus and Ukraine are considered. The project attempts a new methodological approach to the topic of ethnic identity through a qualitative and quantitative content analysis of the internet resources attributable to ethnic minorities. It consists of two larger parts: the methodology of data collection and the results of data analysis. The data bank of the internet resources provides an overview of the empirical basis of the study.

Table Of Contents

  • Cover
  • Title
  • Copyright
  • About the author(s)/editor(s)
  • About the book
  • This eBook can be cited
  • Preface
  • Table of Contents
  • Index of Tables
  • Index of Figures
  • Introduction
  • 1. Research subject
  • 2. Internet as resource of social research
  • 3. Concept
  • Part I: Methodology
  • 1. Internet data collection
  • 1.1. Search strategies
  • a) By keyword
  • 1) Minority + (minority name+ country)
  • 2) Periodicals/organization/blog/forum + (minority + country)
  • 3) Identity/ethnicity + (minority + country)
  • 4) Citizenship/nationalism/cultural rights + (minority + country)
  • b) By data bank
  • 1.2. Selection of the websites
  • 1.2.1. Selection according to qualitative criteria
  • 1.2.2. Selection according to quantitative criteria
  • 1.3. Selection of the text fragments – two steps
  • a) First step.
  • 1) Minority + (minority name)
  • 2) Identity/ethnicity + (minority)
  • 3) Nationalism/cultural rights/citizenship + (minority)
  • b) Second step
  • 2. Internet data analysis
  • 2.1. Simstat categories
  • 2.2. Wordstat categories
  • 1. Cultural heritage
  • 2. Images of Europe
  • 3. History
  • 4. Cultural encounter
  • 5. Minority rights
  • 6. Style
  • 7. Politics
  • 8. Socio-economic situation
  • Part II: Research results
  • 1. Properties of the net landscape: results of simstat analysis
  • 2. Definition of identity: results of wordstat analysis
  • 2.1. National consciousness and mother nation
  • 2.2. Cultural attributes of identity
  • 2.3. Ethnic rights and relation to the host country
  • 2.4. Nationalism and ethnic conflicts
  • 2.5. Civil Society
  • 2.6. The European perspective.
  • 2.7. Cluster and correspondence analysis
  • Conclusions
  • Part III: Profiles of Minorities
  • 1. Russians in Latvia
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 2. Russians in Lithuania
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 3. Hungarians in Slovakia
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 4. Belarusians in Lithuania
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 5. Belarusians in Poland
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 6. Ukrainians in Poland
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 7. Hungarians in Ukraine
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 8. Poles in Ukraine
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 9. Poles in Lithuania
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 10. Poles in Belarus
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 11. Slovaks in Hungary
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • 12. Ukrainians in Hungary
  • a. Description of internet resources
  • b. Characteristic keyword cluster
  • Literature
  • Annex: Data bank of internet resources

| 9 →

Index of Tables

Table 1: Websites’ data bank

Table 2: Number of selected internet resources (in descending order)

Table 3: “Analytic density” of text fragments

Table 4: Simstat categories for the definition of internet resources

Table 5: Simstat categories for the definition of text fragments

Table 6: Wordstat category “cultural heritage”

Table 7: Wordstat category “images of Europe”

Table 8: Wordstat category “history”

Table 9: Wordstat category “cultural encounter”

Table 10: Wordstat category “minority rights”

Table 11: Wordstat category “style”

Table 12: Wordstat category “politics”

Table 13: Wordstat category “socio-economic situation”

Table 14: Russians in Latvia

Table 15: Russians in Lithuania

Table 16: Hungarians in Slovakia

Table 17: Belarusians in Lithuania

Table 18: Belarusians in Poland

Table 19: Ukrainians in Poland

Table 20: Hungarians in Ukraine

Table 21: Poles in Ukraine

Table 22: Poles in Lithuania

Table 23: Poles in Belarus

Table 24: Slovaks in Hungary

Table 25: Ukrainians in Hungary

| 11 →

Index of Figures

Figure 1: Regular or infrequent use of host country websites by minorities (WU=websites’ use)

Figure 2: Number of websites weighted by the size of the minorities (NW=number of websites)

Figure 3: Difference (WU-NW)

Figure 4: Pie chart of intention

Figure 5: Pie chart of ideology

Figure 6: Bar chart of minority by ideology

Figure 7: Pie chart of style

Figure 8: Bar chart of minority by style

Figure 9: Mean of “style”

Figure 10: Pie chart of emotion

Figure 11: Bar chart minority by emotion

Figure 12: Frequency distribution of categories “communication”, “multiculturalism”, and “national consciousness positive” by minority, column %

Figure 13: Frequency distribution of categories “native country critical” and “native country supportive” by minority, column %

Figure 14: Frequency distribution of the category “criticism representatives” by minority, column %

Figure 15: Frequency distribution of the categories “historical memory positive”, “personalities”, “patriotism”, and “war genocide” by minority, column %

Figure 16: Frequency distribution of the categories “civil activity”, “tradition”, “multiculturalism”, “void formula”, and “patriotism” by minority, column %

Figure 17: Frequency distribution of the categories “discrimination”, “minority rights”, and “host country critical” by minority, column %

Figure 18: Frequency distribution of the categories “chauvinism”, “ethnic and national conflict”, “tolerance”, “community”, and “nationalism” by minority, column %

Figure 19: Frequency distribution of the categories “civil activity”, “representation”, “civil activity negative”, and “representation negative” by minority, column % ← 11 | 12 →

Figure 20: Frequency distribution of the categories “conservatism”, “national church”, “cultural heritage”, and “religious ideas” by minority, column %

Figure 21: Frequency distribution of the categories “Eastern and Central Europe”, “Europe positive”, “socio-economic situation positive”, “Europe negative”, and “socio-economic situation negative” by minority, column %

Figure 22: N-dimensional group dendrogram

Figure 23: 3-dimensional group dendrogram

Figure 24: Russians in Latvia, keyword frequency, % of cases

Figure 25: Russians in Lithuania, keyword frequency, % of cases

Figure 26: Hungarians in Slovakia, keyword frequency, % of cases

Figure 27: Belarusians in Lithuania, keyword frequency, % of cases

Figure 28: Belarusians in Poland, keyword frequency, % of cases

Figure 29: Ukrainians in Poland, keyword frequency, % of cases

Details

Pages
165
Year
2014
ISBN (PDF)
9783653035131
ISBN (ePUB)
9783653998207
ISBN (MOBI)
9783653998191
ISBN (Hardcover)
9783631628478
DOI
10.3726/978-3-653-03513-1
Language
English
Publication date
2014 (February)
Keywords
methodology identity formation results
Published
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2013. 165 pp., 25 tables, 35 graphs

Biographical notes

Olga Alekseeva (Author) Hans-Georg Heinrich (Author)

Olga Alekseeva graduated in German language and literature studies and pedagogics from Minsk State Linguistic University and obtained her PhD in political science at the University of Vienna. Her research topics include politics, law state and economy in transition in Eastern Europe as well as democracy, civil society and participation. Hans-Georg Heinrich is professor emeritus of Political Science at the University of Vienna. He has a background in empirical research, conflict and project management in Eastern Europe and the (Ex-)Soviet Union. Professor Heinrich has a track record as policy advisor for NGOs and international organizations like the UN or OSCE.

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Title: Ethnic Minorities of Central and Eastern Europe in the Internet Space
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167 pages