Building knots: parallels and lessons between HIV/aids and covid-19 from the analysis of semantic networks on Twitter

Authors

DOI:

https://doi.org/10.29397/reciis.v16i1.2441

Keywords:

HIV/aids, Covid-19, Communication, Twitter, Semantic analysis.

Abstract

This article seeks to analyze posts on the digital social network Twitter containing the terms ‘HIV/aids’ and ‘covid-19’ published in April 2021, when the Ministry of Health expands vaccination against covid-19 for people with HIV/aids. Our objective was to compare the two epidemiological events in the country, highlighting parallels, subjectivities and lessons from the corpus. In order to do that, we chose a quanti-qualitative method of analysis of semantic networks based on the collection of digital content, identifying the pairs or sets of words that most connect, forming networks of analogous meanings, called clusters. As a result, we identified the political-partisan polarization of comments on covid-19 and HIV/aids on Twitter, the re-emergence of stigmas associated with specific groups, such as homosexuals and Asians, the large-scale spread of misinformation about the two diseases, revealing a field of tensions and narrative and media disputes as a ‘necropolitical’ tool.

Author Biographies

Raquel Marques Carriço Ferreira, Universidade Federal de Sergipe, Programa de Pós-graduação em Comunicação. São Cristóvão, SE

Doutorado em Cultura Contemporânea e Novas Tecnologias pela Universidade Nova de Lisboa.

Gabriel dos Santos Cordeiro, Universidade Federal de Sergipe, Programa de Pós-graduação em Comunicação. São Cristóvão, SE

Graduação em Comunicação Social pela Universidade Federal de Sergipe.

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Published

2022-02-25

How to Cite

Ferreira, R. M. C., & Cordeiro, G. dos S. (2022). Building knots: parallels and lessons between HIV/aids and covid-19 from the analysis of semantic networks on Twitter. Revista Eletrônica De Comunicação, Informação & Inovação Em Saúde, 16(1). https://doi.org/10.29397/reciis.v16i1.2441

Issue

Vol. 16 No. 1 (2022): Dossiê Estudos métricos da informação científica em saúde, parte 2

Section

Original articles

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