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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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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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A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter ...
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A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter ...
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| 5 |
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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| 6 |
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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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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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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| 9 |
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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| 10 |
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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| 11 |
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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| 12 |
Exploring the Effects of Linguistic Elements of Social Media Corporate Apologies on Consumer Responses
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In: Association of Marketing Theory and Practice Proceedings 2022 (2022)
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| 13 |
"Geil dabei zu sein" - Livestreams als Kommunikationsmittel rechtsextremer Proteste
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In: ZRex - Zeitschrift für Rechtsextremismusforschung ; 2 ; 1 ; 72-90 (2022)
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| 14 |
Using Campaign Communications to Analyze Civility in Ranked Choice Voting Elections
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In: Politics and Governance ; 9 ; 2 ; 280-292 ; The Politics, Promise and Peril of Ranked Choice Voting (2022)
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| 15 |
Gegen die Öffentlichkeit: Alternative Nachrichtenmedien im deutschsprachigen Raum
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Schwaiger, Lisa. - : transcript Verlag, 2022. : DEU, 2022. : Bielefeld, 2022
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In: 46 ; Digitale Gesellschaft ; 327 (2022)
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| 16 |
Online Networks and Subjective Well‐Being: The Effect of "Big Five Personality Traits"
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In: Social Inclusion ; 9 ; 4 ; 399-412 ; In Good Company? Personal Relationships, Network Embeddedness, and Social Inclusion (2022)
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| 17 |
Booktokers: Generar y compartir contenidos sobre libros a través de TikTok
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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. 119-130 (2022)
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| 18 |
La trata de personas en Twitter: Finalidades, actores y temas en la escena hispanohablante
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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. 79-91 (2022)
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| 19 |
Partenariat rémunéré entre une entreprise et une influenceuse sur les réseaux sociaux : entrecroisement des voix des femmes autour de l’alimentation des nourrissons
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In: Nouvelle Revue Synergies Canada; No. 15 (2022): La notion de « voix » en sociolinguistique et sciences sociales ; 2292-2261 (2022)
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| 20 |
“One does not simply categorize a meme”: A dual classification system for visual-textual internet memes
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5260 ; 2473-8689 (2022)
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Abstract:
Internet memes are a popular and long-standing genre of discourse on social media platforms, used to express everything from emotional states to political opinions. Dancygier and Vandelanotte (2017) define internet memes as intertextual, multimodal discourses that combine text with images. In order to capture and compare these rapidly-changing discourses, we propose a descriptive dual classification system for memes with two components: meme composition and multimodal quality. Meme composition categorizes memes by their structure—beyond the individual images they employ—and thus explains how memes recontextualize images and text to create new meanings. Multimodal quality serves to describe the way(s) that the text interacts with the image in the meme: as a caption, label, and/or utterance. Combining one meme composition with one or more multimodal qualities classifies an individual meme structurally and provides a basis for explaining its intertextuality, modality, and meaning-making. We apply the dual classification system to English language data collected in its naturally-occurring context on the social media platform Instagram from 2019 to 2021. Analysis of these data shows that the dual classification system is a flexible and robust approach which provides a vocabulary for discussing the creative agency exerted by meme creators in a wide range of communities. We argue that the dual classification system affords researchers the ability to study memes linguistically across a variety of platforms and over time.
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Keyword:
digital media; disability; discourse; Discourse analysis; intertextuality; memes; multimodality; social media
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URL: https://doi.org/10.3765/plsa.v7i1.5260
http://journals.linguisticsociety.org/proceedings/index.php/PLSA/article/view/5260
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