Antisemitism and Language

Becker, Matthias J.

doi:10.1007/978-3-030-70103-1_6

Cited by 1 publication

(3 citation statements)

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“…Accordingly, Jikeli et al (2022) extend their previous work and build an annotation scheme with many examples based on a close reading of the definition. Similarly, the project 'Decoding Antisemitism' states to use the IHRA definition as a conceptual framework but extend it with further categories (Becker, Troschke, and Allington 2021) in order to annotate comments of major media outlets.…”

Section: Conspiracy Theories and Antisemitismmentioning

confidence: 99%

“…While most of existing research focusses on Englishlanguage content, German-language texts are covered by Monika-Schwarz Friesel's large-scale empirical study on antisemitic online content based on a large variety of text corpora, and the project 'Decoding Antisemitism' that analyzes user comments on the webpages of mainstream media outlets in English, German and French (Becker, Troschke, and Allington 2021). Except for Chandra et al (2021); Jikeli et al (2022), the manually annotated datasets are not announced as publicly available.…”

Section: Conspiracy Theories and Antisemitismmentioning

confidence: 99%

“…to evade regulation by platform operators. Especially antisemitic content is often conveyed in an encoded way, using metaphors and codes that work without explicit reference to Jews or Israel (Zannettou et al 2020;Becker, Troschke, and Allington 2021). In addition, newer forms of antisemitism are on the rise (Schmalenberger and Hübscher 2022;Schneider 2020) which are not sufficiently covered by standard working definitions, and difficult to discover through commonly used keywords.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Codes, Patterns and Shapes of Contemporary Online Antisemitism and Conspiracy Narratives – an Annotation Guide and Labeled German-Language Dataset in the Context of COVID-19

Steffen

Mihaljević

Pustet

et al. 2023

ICWSM

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Over the course of the COVID-19 pandemic, existing conspiracy theories were refreshed and new ones were created, often interwoven with antisemitic narratives, stereotypes and codes. The sheer volume of antisemitic and conspiracy theory content on the Internet makes data-driven algorithmic approaches essential for anti-discrimination organizations and researchers alike. However, the manifestation and dissemination of these two interrelated phenomena is still quite under-researched in scholarly empirical research of large text corpora. Algorithmic approaches for the detection and classification of specific contents usually require labeled datasets, annotated based on conceptually sound guidelines. While there is a growing number of datasets for the more general phenomenon of hate speech, the development of corpora and annotation guidelines for antisemitic and conspiracy content is still in its infancy, especially for languages other than English. To address this gap, we have developed an annotation guide for antisemitic and conspiracy theory online content in the context of the COVID-19 pandemic that includes working definitions, e.g. of specific forms of antisemitism such as encoded and post-Holocaust antisemitism. We use the guide to annotate a German-language dataset consisting of $\sim \! 3,700$ Telegram messages sent between 03/2020 and 12/2021.

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Section: Conspiracy Theories and Antisemitismmentioning

confidence: 99%