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1.	Gunnarsson Lorentzen, David, 1981-, et al. (author) On the potential for detecting scientific issues and controversies on Twitter : A method for investigation conversations mentioning research 2019 In: Proceedings of ISSI.. ; , s. 2189-2198 Conference paper (peer-reviewed)abstract In this study, we demonstrate how to collect Twitter conversations emanating from or referring to scientific papers. We propose segmenting the conversational threads into smaller segments and then compare them using information retrieval techniques, in order to find differences and similarities between discussions and within discussions. While the method still can be improved, the study shows that it is possible to collect larger conversations about research on Twitter, and that these are suitable for various automated methods. We do however identify a need to analyse these with qualitative methods as well.
2.	Ekström, Björn (author) Developing a rule-based method for identifying researchers on Twitter: The case of vaccine discussions 2019 In: 17th International Conference on Scientometrics and Informetrics, ISSI 2019 - Proceedings Volume 2, 2019. - Rom. ; , s. 2618-2619 Conference paper (peer-reviewed)abstract This study seeks to develop a method for identifying the occurrences and proportions of researchers, media and other professionals active in Twitter discussions. As a case example, an anonymised dataset from Twitter vaccine discussions is used. The study proposes a method of using keywords as strings within lists to identify classes from user biographies. This provides a way to apply multiple classification principles to a set of Twitter biographies using semantic rules through the Python programming language.

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Type of publication: conference paper (2)Undo refine

Type of content: peer-reviewed (2)

Author/Editor: Ekström, Björn (2); Nelhans, Gustaf, 197 ... (1); Eklund, Johan (1); Gunnarsson Lorentzen ... (1)

University: University of Borås (2)

Language: English (2)

Research subject (UKÄ/SCB): Natural sciences (2)Undo refine; Social Sciences (1)

Year: 2019 (2)

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