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Sociocultural factors during COVID-19 pandemic: Information consumption on Twitter.
Perez-Cepeda, Maximiliano; Arias-Bolzmann, Leopoldo G.
Afiliação
  • Perez-Cepeda M; Universidad Católica de Santiago de Guayaquil, Address Av. Pdte. Carlos Julio Arosemena Tola, Guayaquil, Ecuador.
  • Arias-Bolzmann LG; CENTRUM Graduate Business School, Pontificia Universidad Católica del Perú, Address Jirón Daniel Alomía Robles 125 Urbanización Los Álamos de Monterrico, Santiago de Surco, Lima 33, Peru.
J Bus Res ; 140: 384-393, 2022 Feb.
Article em En | MEDLINE | ID: mdl-35034997
The purpose of the research is to describe the sociocultural factors that emerged during the COVID-19 pandemic. Twitter is used as an instrument for data collection. The study is qualitative and uses the netnographic method. To analyze the flow of messages posted on Twitter, the model proposed by Perez-Cepeda and Arias-Bolzmann (2020), which describes sociocultural factors, is taken as a basis. The semantics that people use are a type of functional knowledge that reveals sociocultural factors. Sentiments were analyzed through lexicon-based methods, which are the most suitable. The categorization and classification of the data are performed based on the information that users post on Twitter. The tweets related to COVID-19 describe the sociocultural issues and the level of sentiment around the pandemic. The discussion centers on the COVID-19 pandemic, information consumption, lexicon, sociocultural factors and sentiment analysis. The study was limited to the social media Twitter; another limitation was not to consider the social group of the users who interact with @pandemic_Covid-19, official account of the World Health Organization (WHO). This research contributes to the social sciences, focusing on sociocultural interaction through the use of the social network Twitter. It describes the link between sociocultural factors and the level of sentiment on issues related to the COVID-19 pandemic.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: J Bus Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Equador País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: J Bus Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Equador País de publicação: Estados Unidos