2022
DOI: 10.1080/1553118x.2022.2058400
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Examining WHO’s Crisis Communication in Issue Arenas during COVID-19: A Socio-semantic Network Analysis

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Cited by 2 publications
(3 citation statements)
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“…In this study, Twitter is used as the data source to extract relevant data, given its versatility in one‐to‐one and many‐to‐many communication (D'heer & Verdegem, 2015; Upadhyay et al, 2022). Initially, we developed a Twitter API, followed by the utilization of R programming to retrieve tweets via the API.…”
Section: Methodsmentioning
confidence: 99%
“…In this study, Twitter is used as the data source to extract relevant data, given its versatility in one‐to‐one and many‐to‐many communication (D'heer & Verdegem, 2015; Upadhyay et al, 2022). Initially, we developed a Twitter API, followed by the utilization of R programming to retrieve tweets via the API.…”
Section: Methodsmentioning
confidence: 99%
“…, 2019 for automated methods of mapping issue arenas on Twitter). Socio-semantic network analyses have become more popular today in studying communicative dynamics in issue arenas, even during the Covid-19 pandemic (Upadhyay et al. , 2022).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Some recent scholarly work has tried lately to understand the role of so-called passive stakeholders in issue arenas (as an example, see Hellsten et al, 2019 for automated methods of mapping issue arenas on Twitter). Sociosemantic network analyses have become more popular today in studying communicative dynamics in issue arenas, even during the Covid-19 pandemic (Upadhyay et al, 2022).…”
Section: Introductionmentioning
confidence: 99%