10.17608/k6.auckland.9869252.v1
Jonathan Dunn
Jonathan
Dunn
Ben Adams
Ben
Adams
Mapping Languages and Demographics with Georeferenced Corpora
The University of Auckland
2019
user-generated content
crowdsourcing
language
demographics
population
Geospatial Information Systems
2019-09-18 00:22:03
Conference contribution
https://auckland.figshare.com/articles/conference_contribution/Mapping_Languages_and_Demographics_with_Georeferenced_Corpora/9869252
<div>This paper evaluates large georeferenced corpora, taken from both web-crawled and social media sources, against ground-truth population and language-census datasets. The goal is to determine (i) which dataset best represents population demographics; (ii) in what parts of the world the</div><div>datasets are most representative of actual populations; and (iii) how to weight the datasets to provide more accurate representations of underlying populations. The paper finds that the two datasets represent very different populations and that they correlate with actual populations with values of r = 0:60 (social media) and r = 0:49 (web-crawled). Further, Twitter data makes better predictions about the inventory of languages used in each country.</div>