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Cross-lingual few-shot hate speech and offensive language detection using meta learning
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In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559484 ; IEEE Access, IEEE, 2022, 10, pp.14880-14896. ⟨10.1109/ACCESS.2022.3147588⟩ (2022)
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“Thou Shalt Not Take the Lord’s Name in Vain”: A Methodological Proposal to Identify Religious Hate Content on Digital Social Networks
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In: International Journal of Communication; Vol 16 (2022); 22 ; 1932-8036 (2022)
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Constructive Aggression? Multiple Roles of Aggressive Content in Political Discourse on Russian YouTube
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In: Media and Communication ; 9 ; 1 ; 181-194 ; Dark Participation in Online Communication: The World of the Wicked Web (2022)
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Detecting weak and strong Islamophobic hate speech on social media
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| 7 |
Análisis del discurso de odio en función de la ideología: Efectos emocionales y cognitivos
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 71, 2022 (Ejemplar dedicado a: Discursos de odio en comunicación: Investigaciones y propuestas), pags. 37-48 (2022)
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Discurso de odio y aceptación social hacia migrantes en Europa: Análisis de tuits con geolocalización
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 71, 2022 (Ejemplar dedicado a: Discursos de odio en comunicación: Investigaciones y propuestas), pags. 21-35 (2022)
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Motivos del discurso de odio en la adolescencia y su relación con las normas sociales
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 71, 2022 (Ejemplar dedicado a: Discursos de odio en comunicación: Investigaciones y propuestas), pags. 9-20 (2022)
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| 12 |
Changing Counterspeech
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In: Cleveland State Law Review (2021)
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| 13 |
La haine, c'est les autres!
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In: La haine en discours ; https://halshs.archives-ouvertes.fr/halshs-03088100 ; Nolwenn Lorenzi; Claudine Moïse. La haine en discours, Éd. Le Bord de l’eau, pp.45-71, 2021, La haine en discours, 9782356877437 ; https://www.editionsbdl.com/produit/la-haine-en-discours/ (2021)
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| 14 |
La haine, c'est les autres!
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In: La haine en discours ; https://halshs.archives-ouvertes.fr/halshs-03088100 ; Nolwenn Lorenzi. La haine en discours, Editions le bord de l'eau, pp.45-71, 2021, La haine en discours ; https://www.lagalerne.com/livre/17968667-la-haine-en-discours-lorenzi-bailly-n--le-bord-de-l-eau (2021)
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| 15 |
Je suis ému•e et je te haine
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In: La haine en discours ; https://halshs.archives-ouvertes.fr/halshs-03088098 ; Nolwenn Lorenzi & Claudine Moïse. La haine en discours, Editions le Bord de l'eau, p.15-44, 2021, collection documents ; https://www.lagalerne.com/livre/17968667-la-haine-en-discours-lorenzi-bailly-n--le-bord-de-l-eau (2021)
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| 16 |
Je suis ému•e et je te haine
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In: La haine en discours ; https://halshs.archives-ouvertes.fr/halshs-03088098 ; Nolwenn Lorenzi; Claudine Moïse. La haine en discours, Éd. Le Bord de l’eau, pp.15-44, 2021, 9782356877437 ; https://www.editionsbdl.com/produit/la-haine-en-discours/ (2021)
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| 17 |
Emotionally Informed Hate Speech Detection: A Multi-target Perspective
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In: ISSN: 1866-9956 ; EISSN: 1866-9964 ; Cognitive Computation ; https://hal.archives-ouvertes.fr/hal-03275549 ; Cognitive Computation, Springer, 2021, 13 (4), ⟨10.1007/s12559-021-09862-5⟩ ; https://link.springer.com/article/10.1007%2Fs12559-021-09862-5 (2021)
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| 18 |
Multiword Expression Features for Automatic Hate Speech Detection
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In: NLDB 2021 - 26th International Conference on Natural Language & Information Systems ; https://hal.archives-ouvertes.fr/hal-03231047 ; NLDB 2021 - 26th International Conference on Natural Language & Information Systems, Jun 2021, Saarbrücken/Virtual, Germany ; http://nldb2021.sb.dfki.de/ (2021)
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| 19 |
Sociolinguistic resilience among young academics. A quantitative analysis in Germany and France
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In: Economic Resilience in Regions and Organisations ; https://hal-univ-bourgogne.archives-ouvertes.fr/hal-03210458 ; Rüdiger Wink. Economic Resilience in Regions and Organisations, Springer, 2021, 978-3-658-33078-1. ⟨10.1007/978-3-658-33079-8_12⟩ ; https://www.springer.com/gp/book/9783658330781 (2021)
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Abstract:
International audience ; Already Friedrich Schiller was convinced that language mirrors a nation. If this is the case, then the often deplored ‘brutalization of language’, which has almost become a buzzword in the wake of the refugee crisis in Germany that started in 2015, points to a serious social crisis by raising questions of (national) identity and self-understanding. Based on newly introduced sociolinguistic resilience concept in line with the concept of group focus enmity (GFE) combining the dimensions of co-adaptation and co-evolution of linguistic signs, this article presents preliminary empirical evidence of a ‘classroom’ survey conducted among students in four university towns in Germany (University of Trier), and France (Sciences Po Paris, Campus Nancy, Catholic Institute of Paris and Le Mans University). Not all of our findings confirm our assumptions. Whilst the level of tolerance is equally low regarding racist and xenophobic, anti-Semitic as well as homophobic statements, German students show more tolerance for sexist and Islamophobic statements. However, there is clear-cut evidence throughout all five categories that the level of tolerance among both German and French students is higher in the private domain than in the public domain. Finally, it could be shown that the co-evolution of linguistic signs (symbols) is strongly dependent on specific society-related phenomena, such as the recent refugee crisis.
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Keyword:
[SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.SOCIO]Humanities and Social Sciences/Sociology; [SHS]Humanities and Social Sciences; France; Germany; group focus enmity; hate speech; sociolinguistic resilience
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URL: https://hal-univ-bourgogne.archives-ouvertes.fr/hal-03210458
https://doi.org/10.1007/978-3-658-33079-8_12
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| 20 |
Hate speech and offensive language detection using transfer learning approaches ; Détection du discours de haine et du langage offensant utilisant des approches de Transfer Learning
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In: https://tel.archives-ouvertes.fr/tel-03276023 ; Document and Text Processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAS007⟩ (2021)
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