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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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| 2 |
« “Twitta” “Intellectuelle” “Influenceuse” ? Être enseignante-chercheuse sur twitter »
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In: ISSN: 1763-0061 ; EISSN: 1963-1812 ; Tracés : Revue de Sciences Humaines ; https://hal.archives-ouvertes.fr/hal-03592945 ; Tracés : Revue de Sciences Humaines, ENS Éditions, A paraître (2022)
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| 3 |
Renouvellement paradigmatique dans l’analyse des discours numériques : le cas de la communication politique sur les RSN
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In: ISSN: 2116-1747 ; Etudes de stylistique anglaise ; https://hal-amu.archives-ouvertes.fr/hal-03584927 ; Etudes de stylistique anglaise, Société de stylistique anglaise, Lyon, 2022, Renaissance(s)/Rebirth(s), ⟨10.4000/esa.4816⟩ ; https://journals.openedition.org/esa/4816 (2022)
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Abstract:
International audience ; The growing number of social media users in political communication incites discourse analysts and linguists to investigate these new forms of social communication. This research aims to show that new paradigms are needed in order to analyse the digital posts published on Instagram and Twitter by some political leaders of the Conservative and Republican parties in the United Kingdom and in the United States such as Boris Johnson, Jacob Rees-Mogg and Donald Trump. This analysis is based on multimodal approaches used in information science in order to study polysemiotic digital posts. ; L’utilisation croissante des réseaux socionumériques (RSN) dans la communication politique encourage les chercheurs en analyse du discours et en linguistique à étudier ces nouvelles formes de communication sociale. Cette recherche montre qu’un renouvellement paradigmatique s’impose pour pouvoir analyser les publications numériques postées sur Instagram et Twitter par quelques responsables de partis politiques conservateurs ou républicains au Royaume-Uni et aux ÉtatsUnis comme Boris Johnson, Jacob Rees-Mogg et Donald Trump. L’analyse de ces publications s’appuie sur des approches multimodales utilisées en sciences de l’information et de la communication afin de prendre en compte la plurisémioticité de ces discours numériques composites.
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Keyword:
[SHS.LANGUE]Humanities and Social Sciences/Linguistics; digital posts; discours numérique; discours politique; Instagram; plurisémioticité; political discourse; polysemioticity; résaux socionumériques; social media; Twitter
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URL: https://doi.org/10.4000/esa.4816
https://hal-amu.archives-ouvertes.fr/hal-03584927/file/esa-4816.pdf
https://hal-amu.archives-ouvertes.fr/hal-03584927
https://hal-amu.archives-ouvertes.fr/hal-03584927/document
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| 4 |
Chapter 11. Consumer opinion about smoked bacon using Twitter and textual analysis: The challenge continues
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In: Sensory Analysis for the Development of Meat Products ; https://hal-agrosup-dijon.archives-ouvertes.fr/hal-03575175 ; Sensory Analysis for the Development of Meat Products, Elsevier, pp.181-196, 2022, 9780128228326. ⟨10.1016/B978-0-12-822832-6.00013-8⟩ (2022)
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| 5 |
#Bittersweet: Positive, negative, and mixed emotions in twitter posts ...
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| 6 |
A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter ...
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| 7 |
A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter ...
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| 10 |
MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media
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In: Applied Sciences; Volume 12; Issue 8; Pages: 3806 (2022)
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| 11 |
Extracting Disaster-Related Location Information through Social Media to Assist Remote Sensing for Disaster Analysis: The Case of the Flood Disaster in the Yangtze River Basin in China in 2020
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In: Remote Sensing; Volume 14; Issue 5; Pages: 1199 (2022)
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| 12 |
Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models
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In: Applied Sciences; Volume 12; Issue 1; Pages: 491 (2022)
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| 13 |
Social Media and the Pandemic: Consumption Habits of the Spanish Population before and during the COVID-19 Lockdown
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In: Sustainability; Volume 14; Issue 9; Pages: 5490 (2022)
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| 14 |
Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches
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In: Sustainability; Volume 14; Issue 8; Pages: 4723 (2022)
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| 15 |
Artificial Intelligent in Education
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In: Sustainability; Volume 14; Issue 5; Pages: 2862 (2022)
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| 16 |
eHealth Engagement on Facebook during COVID-19: Simplistic Computational Data Analysis
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 8; Pages: 4615 (2022)
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| 17 |
How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1822 (2022)
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| 18 |
Knowledge Discovery from Large Amounts of Social Media Data
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1209 (2022)
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| 19 |
Detecting Depression Signs on Social Media: A Systematic Literature Review
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In: Healthcare; Volume 10; Issue 2; Pages: 291 (2022)
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| 20 |
A Novel Method of Generating Geospatial Intelligence from Social Media Posts of Political Leaders
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In: Information; Volume 13; Issue 3; Pages: 120 (2022)
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