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        <title>Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study</title>
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    <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 “micro-sensors” 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.</abstract>
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    <identifier type="doi">10.18653/v1/D19-1121</identifier>
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%0 Conference Proceedings
%T Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study
%A Min, Bonan
%A Zhao, Xiaoxi
%S Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
%D 2019
%8 nov
%I Association for Computational Linguistics
%C Hong Kong, China
%F min-zhao-2019-measure
%X 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 “micro-sensors” 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.
%R 10.18653/v1/D19-1121
%U https://aclanthology.org/D19-1121
%U https://doi.org/10.18653/v1/D19-1121
%P 1249-1254

Markdown (Informal)

[Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study](https://aclanthology.org/D19-1121) (Min & Zhao, EMNLP 2019)

• Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study (Min & Zhao, EMNLP 2019)

ACL

• Bonan Min and Xiaoxi Zhao. 2019. Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 1249–1254, Hong Kong, China. Association for Computational Linguistics.