Ethnic Minorities of Central and Eastern Europe in the Internet Space
A Computer-Assisted Content Analysis
Summary
Excerpt
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
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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
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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
- 166
- Publication Year
- 2013
- ISBN (PDF)
- 9783653035131
- ISBN (MOBI)
- 9783653998191
- ISBN (ePUB)
- 9783653998207
- 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. 166 pp., 25 tables, 35 graphs
- Product Safety
- Peter Lang Group AG