Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914
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Abstract (arXiv)
We investigate some aspects of the history of antisemitism in France, one of the cradles of modern antisemitism, using diachronic word embeddings. We constructed a large corpus of French books and periodicals issues that contain a keyword related to Jews and performed a diachronic word embedding over the 1789-1914 period. We studied the changes over time in the semantic spaces of 4 target words and performed embedding projections over 6 streams of antisemitic discourse. This allowed us to track the evolution of antisemitic bias in the religious, economic, socio-politic, racial, ethic and conspiratorial domains. Projections show a trend of growing antisemitism, especially in the years starting in the mid-80s and culminating in the Dreyfus affair. Our analysis also allows us to highlight the peculiar adverse bias towards Judaism in the broader context of other religions.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jun 2019.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 2; 2024: 1; 2025: 1; 2026: 1.
9 papers.
- 2021A Survey of Race, Racism, and Anti-Racism in NLPcited by 74
- 2022Fair and Argumentative Language Modeling for Computational Argumentationcited by 18
- 2021Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biasescited by 13
- 2024Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Modelscited by 12
- 2025Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Bookscited by 4
- 2023Computational modeling of semantic changecited by 2
- 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideologycited by 1
- 2023A Group-Specific Approach to NLP for Hate Speech Detectioncited by 0
- 2026Evaluating Large Language Models for Antisemitic Incident Classificationcited by 0
- 2026Evaluating Large Language Models for Antisemitic Incident Classification6 Jul 2026
- 2025Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books7 Feb 2025
- 2024Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models9 Jul 2024
- 2023A Group-Specific Approach to NLP for Hate Speech Detection21 Apr 2023
- 2023Computational modeling of semantic change13 Apr 2023
- 2022Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology14 Dec 2022
- 2022Fair and Argumentative Language Modeling for Computational Argumentation8 Apr 2022
- 2021Diachronic Analysis of German Parliamentary Proceedings: Ideological Shifts through the Lens of Political Biases13 Aug 2021
- 2021A Survey of Race, Racism, and Anti-Racism in NLP21 Jun 2021