Literature DB >> 32997720

Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter.

Philipp Wicke1, Marianna M Bolognesi2.   

Abstract

Doctors and nurses in these weeks and months are busy in the trenches, fighting against a new invisible enemy: Covid-19. Cities are locked down and civilians are besieged in their own homes, to prevent the spreading of the virus. War-related terminology is commonly used to frame the discourse around epidemics and diseases. The discourse around the current epidemic makes use of war-related metaphors too, not only in public discourse and in the media, but also in the tweets written by non-experts of mass communication. We hereby present an analysis of the discourse around #Covid-19, based on a large corpus tweets posted on Twitter during March and April 2020. Using topic modelling we first analyze the topics around which the discourse can be classified. Then, we show that the WAR framing is used to talk about specific topics, such as the virus treatment, but not others, such as the effects of social distancing on the population. We then measure and compare the popularity of the WAR frame to three alternative figurative frames (MONSTER, STORM and TSUNAMI) and a literal frame used as control (FAMILY). The results show that while the FAMILY frame covers a wider portion of the corpus, among the figurative frames WAR, a highly conventional one, is the frame used most frequently. Yet, this frame does not seem to be apt to elaborate the discourse around some aspects involved in the current situation. Therefore, we conclude, in line with previous suggestions, a plethora of framing options-or a metaphor menu-may facilitate the communication of various aspects involved in the Covid-19-related discourse on the social media, and thus support civilians in the expression of their feelings, opinions and beliefs during the current pandemic.

Entities:  

Mesh:

Year:  2020        PMID: 32997720      PMCID: PMC7526906          DOI: 10.1371/journal.pone.0240010

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


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6.  Disease detection or public opinion reflection? Content analysis of tweets, other social media, and online newspapers during the measles outbreak in The Netherlands in 2013.

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7.  Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

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9.  The online use of Violence and Journey metaphors by patients with cancer, as compared with health professionals: a mixed methods study.

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10.  Zika discourse in the Americas: A multilingual topic analysis of Twitter.

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  22 in total

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2.  COVID-19 Vaccine Uptake in the Context of the First Delta Outbreak in China During the Early Summer of 2021: The Role of Geographical Distance and Vaccine Talk.

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3.  Doing 'our bit': Solidarity, inequality, and COVID-19 crowdfunding for the UK National Health Service.

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4.  Does the COVID-19 war metaphor influence reasoning?

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5.  Well-being in the time of COVID-19: Do metaphors and mindsets matter?

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Review 6.  What social media told us in the time of COVID-19: a scoping review.

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Review 7.  COVID-19: Rethinking the Lockdown Groupthink.

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8.  Conditional transparency: Differentiated news framings of COVID-19 severity in the pre-crisis stage in China.

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Journal:  PLoS One       Date:  2021-05-24       Impact factor: 3.240

9.  Cross-Platform Comparative Study of Public Concern on Social Media during the COVID-19 Pandemic: An Empirical Study Based on Twitter and Weibo.

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Journal:  Int J Environ Res Public Health       Date:  2021-06-16       Impact factor: 3.390

10.  Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study.

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