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| Titel / Titel: | Adapting sentiment analysis for tweets linking to scientific papers. |
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| Author / Autor | Friedrich, N., Bowman, T. D., Stock, W. G., & Haustein, S.
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| Source / Quelle | Proceedings of ISSI 2015 Istanbul: 15th International Society of Scientometrics and Informetrics Conference, Istanbul, Turkey, 29 June to 3 July, 2015 (pp. 107-108). Istanbul, Turkey: Bogaziçi University Printhouse.
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| Language / Sprache | English / Englisch |
Adapting sentiment analysis for tweets linking to scientific papers.
In the context of "altmetrics", tweets have been discussed as potential indicators of immediate and broader societal impact of scientific documents (Thelwall et al., 2013a). However, it is not yet clear to what extent Twitter captures actual research impact. A small case study (Thelwall et al., 2013b) suggests that tweets to journal articles neither comment on nor express any sentiments towards the publication, which suggests that tweets merely disseminate bibliographic information, often even automatically (Haustein et al., in press). This study analyses the sentiments of tweets for a large representative set of scientific papers by specifically adapting different methods to academic articles distributed on Twitter. The aim is to improve the understanding of Twitter's role in scholarly communication and the meaning of tweets as impact metrics.