Abstract
The use of computational methods for text analysis has been rapidly gaining a foothold in computational social science. Yet, little is known about the reporting practises of the software tools utilised in this field. This research note investigates the factors influencing the likelihood of software tools being mentioned in social science journal articles. To this end, we reviewed 406 journal articles, representing all computational text analysis articles published in top social science journals between 2016 and 2020, and identified all software tools reported. We explore both article-level and tool-level characteristics and investigate their association with the mentioning of software tools. Our findings indicate a consistent pattern of tool reporting across time and disciplines, while authors who detail methodological validation within their papers are more inclined to mention the software tools employed. Furthermore, we observe that software tools with greater accessibility tend to receive more frequent mentions, while the maintenance status of the tools does not significantly impact their frequency of being mentioned. We discuss the implications of these results for the further development of computational text analysis in social science and especially communication research.
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1-21 |
| Seitenumfang | 21 |
| Fachzeitschrift | Computational Communication Research |
| Jahrgang | 6 |
| Ausgabenummer | 1 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 1 Jan. 2024 |
Fördermittel
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 951832 in the OPTED projct. The document reflects only the authors’ views. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 951832 in the OPTED projct. The document reflects only the authors’ views. We want to thank Benjamin Guinaudeau and Nicolai Berk, as well as the two anonymous reviewers, for their helpful comments and suggestions which greatly improved the paper. This research was previously presented at ICA 2023 and COMPTEXT 2023, whose participants provided valuable feedback.
ÖFOS 2012
- 508007 Kommunikationswissenschaft
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