The Potential of the Computational Linguistic Analysis of Social Media for Population Studies

Letizia Mencarini


Abstract
The paper provides an outline of the scope for synergy between computational linguistic analysis and population stud-ies. 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 linguis-tic analysis, especially in terms of ex-plaining 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.
Anthology ID:
W18-1109
Volume:
Proceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media
Month:
June
Year:
2018
Address:
New Orleans, Louisiana, USA
Venues:
NAACL | PEOPLES | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
62–68
Language:
URL:
https://www.aclweb.org/anthology/W18-1109
DOI:
10.18653/v1/W18-1109
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-1109.pdf