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Gonna be on my fucking period in boomtown, souuuunndd thanks Mother Nature: using Twitter to find multimodal creativity and embodied instant metaphors
Universidade Federal do Minas Gerais – UFMG, Minas Gerais, Brasil. (Cognitive Linguistcs)ORCID iD: 0000-0003-4833-7270
2019 (English)In: Signo, ISSN 0101-1812, E-ISSN 1982-2014, Vol. 44, no 79, p. 122-134Article in journal (Refereed) Published
Abstract [en]

Using social media in linguistic and socio-linguistic research is becoming more prevalent, but how does it compare to other methods? We argue that Twitter has some multimodal advantages including providing cognitive linguistic researchers with multimodal data and also in providing "instant" metaphors that are elicited from very specific contexts and bodily experiences. We first review some cognitive data that summarizes the embodied, online nature of language processing and then we present data from 3 different corpora: a COCA corpus, a laboratory experiment, and a corpus made from Twitter data. These methods are compared and discussed in terms of ease of use and contributions to questions of interest for cognitive linguists. Results show that the twitter data is relatively easy to collect, contains many multimodal data points, and also elicits "instant" metaphors that are difficult to find/elicit using other methods.

Abstract [pt]

"Vai ser bem na época da minha mestruação em Boomtown, muuuiiito obrigada Mãe Terra: Utilizando dados do twitter para encontrar criatividade multimodal e metáforas corporificadas instantâneas"

O uso de mídias sociais na pesquisa linguística e sociolinguística está se intensificando, mas como isso se compara a outros métodos? Argumentamos que o twitter apresenta algumas vantagens multimodais, incluindo fornecer dados multimodais a linguistas cognitivos, assim como fornecer metáforas 'instantâneas' geradas a partir de contextos e experiências corpóreas muito específicos. Primeiro, analisamos alguns dados que resumem a corporeidade do processamento da linguagem natural online e, então, apresentamos dados gerados a partir de três corpora distintos: do corpus COCA, de um experimento de laboratório, e de um corpus feito a partir de dados do twitter. Esses métodos foram comparados e discutidos em termos de facilidade do uso e contribuições para questões pertinentes para linguistas cognitivos. Os resultados apontam que os dados do twitter são relativamente fáceis de coletar, contém muitos dados multimodais, e também podem elicitar metáforas 'instantâneas' que são difíceis de encontrar/elicitar utilizando outros métodos.

Place, publisher, year, edition, pages
2019. Vol. 44, no 79, p. 122-134
Keywords [en]
Multimodal, Instant Metaphors, Twitter, Social Media, Cognitive Linguistics, Embodied Simulations
Keywords [pt]
Metáforas multimodais instantâneas, Twitter, Mídias sociais, Linguística Cognitiva, Simulações Corporificadas
National Category
General Language Studies and Linguistics
Identifiers
URN: urn:nbn:se:umu:diva-166556DOI: 10.17058/signo.v44i79.12851OAI: oai:DiVA.org:umu-166556DiVA, id: diva2:1379836
Available from: 2019-12-17 Created: 2019-12-17 Last updated: 2019-12-27Bibliographically approved

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