Abstract
The paper provides an outline of the scope for synergy between computational linguistic analysis and population studies. It first reviews where population studies stand in terms of using social media data. Demographers are entering the realm of big data in force. But, this paper argues, population studies have much to gain from computational linguistic analysis, especially in terms of explaining the drivers behind population processes. The paper gives two examples of how the method can be applied, and concludes with a fundamental caveat. Yes, computational linguistic analysis provides a possible key for integrating micro theory into any demographic analysis of social media data. But results may be of little value in as much as knowledge about fundamental sample characteristics are unknown.
Cite
CITATION STYLE
Mencarini, L. (2018). The potential of the computational linguistic analysis of social media for population studies. In Proceedings of the 2nd Workshop on Computational Modeling of PFople’s Opinions, PersonaLity, and Emotions in Social Media, PEOPLES 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018 (pp. 62–68). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w18-1109
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