Online data collection to address language sampling bias: Lessons from the COVID-19 pandemic

• DOI: 10.31234/osf.io/39bsn
• Publication Date: 2021-11-13T22:03:33Z
• Authors: Rowena Garcia; Jens Roeser; Evan Kidd
• Keywords: Popularity; Pandemic; Sample (material)

The COVID-19 pandemic has massively limited how linguists can collect data, and out of necessity, researchers across several disciplines have moved data collection online. Here we argue that this rising popularity remote web-based experiments also provides an opportunity for widening the context linguistic research by facilitating from understudied populations. We discuss collecting production adult native speakers Tagalog using unsupervised experiment. Compared to equivalent lab experiments, went quicker, sample was more diverse, without compromising quality. However, there were technical human issues come with method. these challenges provide suggestions on overcome them.