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Analysis of the Thematic Structure and Discursive Framing in Articles about Trianon and the Holocaust in the Online Hungarian Press Using LDA Topic Modelling

Published online by Cambridge University Press:  16 May 2022

Ildikó Barna*
Affiliation:
Research Center for Computational Social Science (RC2S2), Faculty of Social Sciences, Eötvös Loránd University, Budapest, Hungary
Árpád Knap
Affiliation:
Research Center for Computational Social Science (RC2S2), Faculty of Social Sciences, Eötvös Loránd University, Budapest, Hungary
*
Corresponding author: Ildikó Barna, email: barna.ildiko@tatk.elte.hu
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Abstract

In our research, we examined the discursive framing of Trianon and the Holocaust in today’s Hungarian online media. Our corpus contained 26,519 articles connected to these two historical events published between September 2017 and September 2020. We used a mixed-method approach by combining computational text analysis, namely, LDA (Latent Dirichlet Allocation) topic models and qualitative methods. Our aim was not only to map the latent thematic structure and the discourses about Trianon and the Holocaust but also to identify the main differences in the rhetoric of the different sides of the political spectrum. Using Bull and Hansen’s categories, we found that the far-right and government media use the antagonistic, while the left-liberal media use the cosmopolitan mode of remembering. We identified many discursive differences between the rhetoric of the different political sides. Yet, the different relationship to emotions has the most far-reaching consequences. On the one hand, in antagonistic remembering, thus in the far-right and progovernment media, emotions play an essential role. On the other hand, cosmopolitan remembering, thus the rhetoric featured in the nongovernment media, detaches itself from emotions. This difference contributes significantly to the success of antagonistic remembering in Hungary. At the same time, the left-liberal side loses the opportunity to shape memory and identity politics.

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Type
Special Issue Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Association for the Study of Nationalities
Figure 0

Table 1. Number of Domains in the Created Groups

Figure 1

Table 2. Number of Articles in the Domain Groups16