Vol. 10 No. 4 (2024): Eastern and Central European political discourses from the perspective of computational social science - Part 1

Editorial

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Editorial ‘Text as data’: Eastern and Central European political discourses from the perspective of computational social science

Domonkos Sik, Renáta Németh, Ildikó Barna, Theresa Gessler, Hanna Orsolya Vincze

1-5
- Abstract Views: 150
- PDF Downloads: 77

Research Papers

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Application of Natural Language Processing to the electoral manifestos of parties characterised by populist rhetoric in Central and Eastern Europe

Elena Cossu

6-33
- Abstract Views: 64
- PDF Downloads: 53
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How opposition parties politicize democracy during autocratization

Theresa Gessler

34-58
- Abstract Views: 73
- PDF Downloads: 58
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Analysis of the populist discourse of the Lithuanian political parties

Jogilė Ulinskaitė, Lukas Pukelis

59-81
- Abstract Views: 58
- PDF Downloads: 45
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Jobbik’s journey from radicalism to mainstream politics: Analyzing the parliamentary speeches of Jobbik and the dynamic network of its politicians between 2010 and 2020

Zsófia Rakovics, Ildikó Barna

82-105
- Abstract Views: 83
- PDF Downloads: 73

Data Note

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Levelling up quantitative legislative studies on Central-Eastern Europe: Introducing the ParlText CEE Database of Speeches, Bills, and Laws

Miklós Sebők, Csaba Molnár, Anna Takács

106-125
- Abstract Views: 115
- PDF Downloads: 61

Research Note

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Exploring the potential and limitations of large language models as virtual respondents for social science research

Zsófia Rakovics, Márton Rakovics

126-147
- Abstract Views: 79
- PDF Downloads: 51
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Beyond “latent thematic structure”: Expanding the interpretation of the topic model towards pragmatics

Renáta Németh, Domonkos Sik

148-159
- Abstract Views: 74
- PDF Downloads: 46

Book reviews

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Book Review Grimmer, J., Roberts, M.E., & Stewart, B.M. (2022). Text as Data: A New Framework for Machine Learning and the Social Sciences. Princeton University Press.

Tamás Varga

160-165
- Abstract Views: 43
- PDF Downloads: 40

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