@inproceedings{min-zhao-2019-measure,
title = "Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study",
author = "Min, Bonan and
Zhao, Xiaoxi",
editor = "Inui, Kentaro and
Jiang, Jing and
Ng, Vincent and
Wan, Xiaojun",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/D19-1121/",
doi = "10.18653/v1/D19-1121",
pages = "1249--1254",
abstract = "Socio-economic conditions are difficult to measure. For example, the U.S. Bureau of Labor Statistics needs to conduct large-scale household surveys regularly to track the unemployment rate, an indicator widely used by economists and policymakers. We argue that events reported in streaming news can be used as {\textquotedblleft}micro-sensors{\textquotedblright} for measuring socio-economic conditions. Similar to collecting surveys and then counting answers, it is possible to measure a socio-economic indicator by counting related events. In this paper, we propose Event-Centric Indicator Measure (ECIM), a novel approach to measure socio-economic indicators with events. We empirically demonstrate strong correlation between ECIM values to several representative indicators in socio-economic research."
}
Markdown (Informal)
[Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study](https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/D19-1121/) (Min & Zhao, EMNLP-IJCNLP 2019)
ACL