Antisemitism in Contemporary Hungary: Exploring Topics of Antisemitism in the Far-Right Media Using Natural Language Processing

In this paper, we explore antisemitism in contemporary Hungary. After briefly introducing the different types of antisemitism, we show the results of a quantitative survey carried out in 2017 on a nationally representative sample. Next, we present the research we conducted on the articles related to...

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Bibliographic Details
Published in:Theo-Web
Subtitles:Thema: "Antisemitism as a Challenge for Religious Education: International and Interdisciplinary perspectives"
Thema: "Antisemitismus als religionspädagogische Herausforderung: Interdisziplinäre und internationale Perspektiven"
Authors: Barna, Ildikó 1973-; Knap, Arpad ca. 20./21. Jh.
Format: Electronic Article
Language:English
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Published: 2019
In:Theo-Web
Year: 2019, Volume: 18, Issue: 1, Pages: 75-92
Further subjects:B LDAantisemitism
B Hungary
B Natural Language Processing
B LDA
B topic modeling
B Antisemitism
Online Access: Free Access
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Description
Summary:In this paper, we explore antisemitism in contemporary Hungary. After briefly introducing the different types of antisemitism, we show the results of a quantitative survey carried out in 2017 on a nationally representative sample. Next, we present the research we conducted on the articles related to Jews from the far-right site Kuruc.info. Our corpus contained 2,289 articles from the period between February 28, 2016, and March 20, 2019. To identify latent topics in the text, we employed one of the methods of Natural Language Processing (NLP), namely topic modeling using the LDA method. We extracted fifteen topics. We found that racial antisemitism, unmeasurable by survey research, is overtly present in the dis-course of Kuruc.info. Moreover, we identified topics that were connected to other types of antisemitism.
ISSN:1863-0502
Contains:Enthalten in: Theo-Web
Persistent identifiers:DOI: 10.23770/TW0087