Meta-analysis of political communication research on Twitter: Methodological trends
| Autor: | Miguel Álvarez-Peralta, Raúl Rojas-Andrés, Svenne Diefenbacher |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Cogent Social Sciences, Vol 9, Iss 1 (2023) |
| Druh dokumentu: | article |
| ISSN: | 23311886 2331-1886 |
| DOI: | 10.1080/23311886.2023.2209371 |
| Popis: | This meta-analysis examines the methodological tendencies of scientific research about political communication on Twitter published in journals based on Spanish-speaking countries between 2019 and 2021. It covers all the journals indexed in the JCR and the two first quartiles of Scopus index, producing a universe of 1.233 articles, of which 51 addressed political communication on Twitter. The focus is set on the following methodological parameters: sample types and construction, time periods, geographical areas, methodologies, multimedia analysis, general research themes and approaches, and software resources. The aim is to provide a map of recent research in the Spanish-speaking scientific community and to identify widespread methodological trends. A significant trend of software dependency was identified, i.e. published research often consists of the mere application of a certain software to a certain dataset, without enough discussion on the possible biases introduced by the software and the sampling methods. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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