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Abstract

Abstract

The use of very large social media datasets in corpus linguistics has obvious benefits. Such data represent a novel source of evidence when compared with structured digital text corpora. However, there is a clear need to assess critically how the effective reuse of data can be handled, how findings can be reproduced, and how results can be generalized. A relevant question concerns the presentation of data to ensure reproducibility and replicability. This article surveys the state-of-the-art of descriptions of data collection and methodological transparency in 30 studies that used Twitter/X as their data. The empirical section investigates how easy it would be to reproduce a study based on these descriptions. While we concentrate on evidence from one social media application, the discussion continues to a presentation of concrete steps that might be used to improve data management related to the reuse, discovery, and evaluation of social media data in general.

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2025-06-12
2025-07-19

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Reuse of social media data in corpus linguistics
John Benjamins ; https://doi.org/10.1075/ijcl.24136.lai
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/content/journals/10.1075/ijcl.24136.lai
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  • Article Type: Research Article
Keywords: social media data ; research infrastructures ; replicability ; reproducibility ; metadata

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