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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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Abstract:
Today, aggressive verbal behavior is generally perceived as a threat to integrity and democratic quality of public discussions, including those online. However, we argue that, in more restrictive political regimes, communicative aggression may play constructive roles in both discussion dynamics and empowerment of political groups. This might be especially true for restrictive political and legal environments like Russia, where obscene speech is prohibited by law in registered media and the political environment does not give much space for voicing discontent. Taking Russian YouTube as an example, we explore the roles of two under-researched types of communicative aggression - obscene speech and politically motivated hate speech - within the publics of video commenters. For that, we use the case of the Moscow protests of 2019 against non-admission of independent and oppositional candidates to run for the Moscow city parliament. The sample of over 77,000 comments for 13 videos of more than 100,000 views has undergone pre-processing and vocabulary-based detection of aggression. To assess the impact of hate speech upon the dynamics of the discussions, we have used Granger tests and assessment of discussion histograms; we have also assessed the selected groups of posts in an exploratory manner. Our findings demonstrate that communicative aggression helps to express immediate support and solidarity. It also contextualizes the criticism towards both the authorities and regime challengers, as well as demarcates the counter-public.
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Keyword:
Anthropologie; communicative aggression; electronic Media; elektronische Medien; hate speech; Interactive; interaktive; journalism; Journalismus,Verlagswesen; Kommunikationssoziologie; networked discussions; News media; obscene speech; political protest; publishing; Publizistische Medien; Russia; Sociolinguistics; Sociology & anthropology; Sociology of Communication; Sociology of Language; Soziolinguistik; Soziologie; Sprachsoziologie; verbal aggression; YouTube
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URL: https://www.ssoar.info/ssoar/handle/document/78085
https://doi.org/10.17645/mac.v9i1.3469
https://www.cogitatiopress.com/mediaandcommunication/article/view/3469
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| 6 |
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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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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| 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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