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Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French
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In: ISSN: 2561-326X ; JMIR Formative Research ; https://hal.archives-ouvertes.fr/hal-03614832 ; JMIR Formative Research, JMIR Publications 2022, 6 (2), pp.e18539. ⟨10.2196/18539⟩ ; https://formative.jmir.org/2022/2/e18539 (2022)
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Focus groups as a tool to reveal causes of resistance or openness to non-binary gender norms among kindergarten teachers
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In: 11th European Feminist Research Conference: Social change in a feminist perspective ; https://hal.univ-lorraine.fr/hal-03573494 ; 11th European Feminist Research Conference: Social change in a feminist perspective, University of Milano, Bicocca, Jun 2022, Milan, Italy ; https://11efrc.unimib.it/ (2022)
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Analyse automatique d’arguments et apprentissage multi-tâches : un cas d’étude
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In: Revue Ouverte d'Intelligence Artificielle ; https://hal.mines-ales.fr/hal-03638222 ; Revue Ouverte d'Intelligence Artificielle, Association pour la diffusion de la recherche francophone en intelligence artificielle, 2022, 3 (3-4), pp.201-222. ⟨10.5802/roia.29⟩ (2022)
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PLURILINGUISME, APPRENTISSAGE INTÉGRÉ ET CONTEXTUALISATION
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In: Faire des recherches en sciences du langage. Paroles de chercheur.e.s / Repères pour les étudiant.e.s ; https://halshs.archives-ouvertes.fr/halshs-03592088 ; Youssef Bacha. Faire des recherches en sciences du langage. Paroles de chercheur.e.s / Repères pour les étudiant.e.s, EME Editions, 2022, 978-2-8066-3757-4 (2022)
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Filmer des consultations en santé mentale auprès de demandeurs d’asile : dialogue entre une équipe de recherche spécialiste des études interactionnelles et un réalisateur
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In: ISSN: 2557-2652 ; Revue française des méthodes visuelles ; https://halshs.archives-ouvertes.fr/halshs-03423972 ; Revue française des méthodes visuelles, Pessac: MSHA, 2022 (2022)
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Nouvelles textualités ?
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In: https://hal.archives-ouvertes.fr/hal-03617309 ; 2022 (2022)
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Sur la déconstruction éthique du Politique à la fin de la Renaissance (1588-1590)
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In: ISSN: 1774-4466 ; EISSN: 1775-3856 ; Seizième siècle ; https://hal.archives-ouvertes.fr/hal-03631955 ; Seizième siècle, Société française d'étude du XVIe siècle, 2022 (2022)
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| 8 |
Narratio et discours rapportés dans L'Heptaméron
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In: EISSN: 2270-6909 ; Exercices de rhétorique ; https://hal.archives-ouvertes.fr/hal-03591087 ; Exercices de rhétorique, UGA éditions, 2022, ⟨10.4000/rhetorique.1256⟩ (2022)
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| 9 |
Au fil du texte numérique
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In: ISSN: 0015-9409 ; Le Français Moderne - Revue de linguistique Française ; https://hal.archives-ouvertes.fr/hal-03630268 ; Le Français Moderne - Revue de linguistique Française, CILF (conseil international de la langue française), 2022 (2022)
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| 10 |
O encontro da arte digital com a aprendizagem das línguas estrangeiras no ensino superior em Portugal: uma experiência de interdisciplinaridade
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The Korsakow platform and nonlinear narratives as a means to enhance foreign language learning in HE
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| 12 |
JASM Janela aberta sobre o mundo: línguas estrangeiras, criatividade multimodal e inovação pedagógica no ensino superior
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| 13 |
Storytelling and digital art: tools for enhancing multilingual skills
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| 14 |
Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French
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In: JMIR Form Res (2022)
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Abstract:
BACKGROUND: With the advent of digital technology and specifically user-generated contents in social media, new ways emerged for studying possible stigma of people in relation with mental health. Several pieces of work studied the discourse conveyed about psychiatric pathologies on Twitter considering mostly tweets in English and a limited number of psychiatric disorders terms. This paper proposes the first study to analyze the use of a wide range of psychiatric terms in tweets in French. OBJECTIVE: Our aim is to study how generic, nosographic, and therapeutic psychiatric terms are used on Twitter in French. More specifically, our study has 3 complementary goals: (1) to analyze the types of psychiatric word use (medical, misuse, or irrelevant), (2) to analyze the polarity conveyed in the tweets that use these terms (positive, negative, or neural), and (3) to compare the frequency of these terms to those observed in related work (mainly in English). METHODS: Our study was conducted on a corpus of tweets in French posted from January 1, 2016, to December 31, 2018, and collected using dedicated keywords. The corpus was manually annotated by clinical psychiatrists following a multilayer annotation scheme that includes the type of word use and the opinion orientation of the tweet. A qualitative analysis was performed to measure the reliability of the produced manual annotation, and then a quantitative analysis was performed considering mainly term frequency in each layer and exploring the interactions between them. RESULTS: One of the first results is a resource as an annotated dataset. The initial dataset is composed of 22,579 tweets in French containing at least one of the selected psychiatric terms. From this set, experts in psychiatry randomly annotated 3040 tweets that corresponded to the resource resulting from our work. The second result is the analysis of the annotations showing that terms are misused in 45.33% (1378/3040) of the tweets and that their associated polarity is negative in 86.21% (1188/1378) of the cases. When considering the 3 types of term use, 52.14% (1585/3040) of the tweets are associated with a negative polarity. Misused terms related to psychotic disorders (721/1300, 55.46%) were more frequent to those related to depression (15/280, 5.4%). CONCLUSIONS: Some psychiatric terms are misused in the corpora we studied, which is consistent with the results reported in related work in other languages. Thanks to the great diversity of studied terms, this work highlighted a disparity in the representations and ways of using psychiatric terms. Moreover, our study is important to help psychiatrists to be aware of the term use in new communication media such as social networks that are widely used. This study has the huge advantage to be reproducible thanks to the framework and guidelines we produced so that the study could be renewed in order to analyze the evolution of term usage. While the newly build dataset is a valuable resource for other analytical studies, it could also serve to train machine learning algorithms to automatically identify stigma in social media.
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Keyword:
Viewpoint
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8887636/
https://doi.org/10.2196/18539
http://www.ncbi.nlm.nih.gov/pubmed/35156925
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| 15 |
Classification of pig calls produced from birth to slaughter according to their emotional valence and context of production
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In: Sci Rep (2022)
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| 16 |
Annotating affective dimensions in user-generated content : Comparing the reliability of best–worst scaling, pairwise comparison and rating scales for annotating valence, arousal and dominance [<Journal>]
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DNB Subject Category Language
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| 19 |
Unterscheiden sich gesunde Neugeborene mit auffälligem bzw. unauffälligem Hörscreeningbefund in Eigenschaften der Grundfrequenzkontur ihrer spontanen Weinlaute?
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DNB Subject Category Language
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