Data-intensive sociolinguistics using social media

Authors

• Mikko Laitinen Professor of English Language, University of Eastern Finland
• Masoud Fatemi The University of Eastern Finland and Linnaeus University in Sweden

DOI: https://doi.org/10.57048/aasf.136177

Keywords:

sociolinguistics, networks, big data, social media

Abstract

This article looks into using large-scale social media data in SSH research and in particular in studies of language variation and change. It presents a case study that investigates the role of social networks in linguistic variability. Previous studies have convincingly shown that networks in which people are connected to each other in loose ties tend to contribute positively to language change. Conversely, networks in which people are closely connected to each other inhibit change. This conclusion is, however, based on small datasets, and this study tests if the difference is diluted when network size is closer to human average. The results suggest this to be the case. Towards the end, the article suggests numerous ways in which large-scale social media data and the use of data intensive methodologies could be increased and encouraged in SSH research.