Creator/Principal investigator(s)
Björn Ekström
Description
Subject 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
Responsible department/unit
University of Borås
Creator/Principal investigator(s)
Björn Ekström
Identifiers
SND-ID: SND 1117
Description
Language
English
Time period(s) investigated
2018-06-01 — 2019-10-31
Unit of analysis
Population
Twitter users
Time Method
Sampling procedure
Funding
Horizon 2020 — Ref. 770531
Subject 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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Creator/Principal investigator(s)
Björn Ekström
Description
Data format / data structure
Software