Measuring the anti-Semitic imprint on YouTube.

被引：0
|
作者：
Tainturier, Benjamin [1 ,3 ]
de Dampierre, Charles [2 ]
Cardon, Dominique [1 ]
机构：
[1] SciencesPo, Medialab, Paris, France
[2] Ecole Normale Super, Inst Jean Nicod, Dept Etud Cognit, Paris, France
[3] 3 Rue Jeanne de Boulogne, F-21800 Chevigny St Sauveur, France
来源：
BMS-BULLETIN OF SOCIOLOGICAL METHODOLOGY-BULLETIN DE METHODOLOGIE SOCIOLOGIQUE | 2023年 / 160卷 / 01期
关键词：
antisemitism; computational sociology; machine learning; natural language processing;
D O I：
10.1177/07591063231196163
中图分类号：
C91 [社会学];
学科分类号：
030301 ; 1204 ;
摘要：
This article proposes an exploratory approach aimed at measuring the imprint of antisemitic discourse on YouTube news and current affairs channels in France. Considering the complexity and polysemy of the phenomenon, an "imprint" approach has been favored, relying on machine learning methods and the training of an automatic language processing tool. It appears that this tool, imperfect but opening up many methodological challenges for the study of hate speech, detects an antisemitism that is not very prevalent but overrepresented in digital spaces related to the radical right.
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页码：71 / 98
页数：28
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