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Free and low-cost twitter research software tools for social science
Yu, Jingyuan (Universitat Autònoma de Barcelona)
Muñoz Justicia, Juan Manuel (Universitat Autònoma de Barcelona)

Data: 2020
Resum: Twitter is an important object of research in social science studies, and the emergence of numerous Twitter software tools has provided researchers with the possibility of gaining insights into Twitter data; however, at the same time, early stage researchers may experience difficulties in selecting the most suitable tool for their own projects. Due to personal or institutional financial constraints, the purchase of commercial software is not a wise investment for all researchers. Hence, this article aims to provide a review of nine different free-of-charge and low-cost software tools for studying Twitter and highlights their advantages and disadvantages, in order to serve as a guide for social science scholars. This review is divided into two parts: background information and data retrieval features of the software tools, and their data analysis features. At the end of the review, several recommendations and suggestions are made for the use of these tools.
Drets: Tots els drets reservats
Llengua: Anglès
Document: Article ; recerca ; Versió acceptada per publicar
Matèria: Twitter ; Software ; Social science ; Free-of-charge software ; Low-cost ; Social network analysis
Publicat a: Social science computer review, 2020 , ISSN 1552-8286

DOI: 10.1177/0894439320904318

33 p, 959.5 KB

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 Registre creat el 2020-02-07, darrera modificació el 2022-02-06

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