Creator/Principal investigator(s)
Björn Ekström
Description
Language
English
Research principal
Principal's reference number
FO2017/23
Unit of analysis
Population
Twitter users
Time Method
Sampling procedure
Time period(s) investigated
2018-06-01 – 2019-10-31
Research area
Higher and further education, Information society, Language and linguistics
(CESSDA Topic Classification)
Language Technology (Computational Linguistics), Social Sciences, Information Studies
(The Swedish standard of fields of research 2011)
Keywords
Ekström, B. (2019). Developing a rule-based method for identifying researchers on Twitter: The case of vaccine discussions. Poster abstract accepted to ISSI, 17th International Society of Scientometrics and Informetrics Conference, Rome, 2-5 September.
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Description
Method development for Twitter biography classification concerning occurrences of academics, academically related groups and individuals, media, other groups and members of the general public. Written in the Python programming language.Version 1.0
https://doi.org/10.5878/akmc-va16
Citation
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Data format / data structure
Software
Creator/Principal investigator(s)
Björn Ekström