Understanding peacefulness through the world news
- URL: http://arxiv.org/abs/2106.00306v2
- Date: Thu, 3 Jun 2021 14:17:03 GMT
- Title: Understanding peacefulness through the world news
- Authors: Vasiliki Voukelatou, Ioanna Miliou, Fosca Giannotti, Luca Pappalardo
- Abstract summary: We exploit information extracted from Global Data on Events, Location, and Tone (GDELT) digital news database to capture peacefulness through the Global Peace Index (GPI)
Applying predictive machine learning models, we demonstrate that news media attention from GDELT can be used as a proxy for measuring GPI at a monthly level.
- Score: 1.6975704972827304
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Peacefulness is a principal dimension of well-being for all humankind and is
the way out of inequity and every single form of violence. Thus, its
measurement has lately drawn the attention of researchers and policy-makers.
During the last years, novel digital data streams have drastically changed the
research in this field. In the current study, we exploit information extracted
from Global Data on Events, Location, and Tone (GDELT) digital news database,
to capture peacefulness through the Global Peace Index (GPI). Applying
predictive machine learning models, we demonstrate that news media attention
from GDELT can be used as a proxy for measuring GPI at a monthly level.
Additionally, we use the SHAP methodology to obtain the most important
variables that drive the predictions. This analysis highlights each country's
profile and provides explanations for the predictions overall, and particularly
for the errors and the events that drive these errors. We believe that digital
data exploited by Social Good researchers, policy-makers, and peace-builders,
with data science tools as powerful as machine learning, could contribute to
maximize the societal benefits and minimize the risks to peacefulness.
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