@inproceedings{tripodi-etal-2019-tracing,
title = "Tracing Antisemitic Language Through Diachronic Embedding Projections: {F}rance 1789-1914",
author = "Tripodi, Rocco and
Warglien, Massimo and
Levis Sullam, Simon and
Paci, Deborah",
editor = "Tahmasebi, Nina and
Borin, Lars and
Jatowt, Adam and
Xu, Yang",
booktitle = "Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-4715",
doi = "10.18653/v1/W19-4715",
pages = "115--125",
abstract = "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.",
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914
%A Tripodi, Rocco
%A Warglien, Massimo
%A Levis Sullam, Simon
%A Paci, Deborah
%Y Tahmasebi, Nina
%Y Borin, Lars
%Y Jatowt, Adam
%Y Xu, Yang
%S Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F tripodi-etal-2019-tracing
%X 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.
%R 10.18653/v1/W19-4715
%U https://aclanthology.org/W19-4715
%U https://doi.org/10.18653/v1/W19-4715
%P 115-125
Markdown (Informal)
[Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914](https://aclanthology.org/W19-4715) (Tripodi et al., LChange 2019)
ACL