EGU2020-13100, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-13100
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Conflict and Cooperation Analysis on Transboundary River Basins Using News Media Text Mining Approach

Liying Guo, Fuqiang Tian, Jing Wei, and You Lu
Liying Guo et al.
  • Tsinghua University, Civil and Hydraulic Engineering, Hydraulic Engineering, Beijing, China (gly17@mails.tsinghua.edu.cn)

Transboundary water problems are complex systems, which involve interdependence and interconnectedness between elements, uncertainty and feedbacks between processes, and emergence and adaptation through evolution of the systems. There is nearly no way to formulate transboundary water problems in an equation fitting-one-size-for-all. As nature-human coupled systems, transboundary water problems should consider actual stakeholders and parties in context-specific situations as well as natural conditions.

News media are good recorders for us to have an insight into the transboundary water problems down-to-earth. Local news media are the first-hand and direct reflections of societal values among the riparian countries and stakeholders, and are documentaries of what is going on in transboundary river basins. International news media are also good sources to know about how people in the world perceive transboundary river issues from the perspectives as “outsiders”. Therefore, text analysis of news articles concerning conflict and cooperation on transboundary river basins can tell us a whole story about the past history and on-going “real” life in the basins.

To uncover the patterns and dynamics of conflictive and cooperative events on a global scale, people usually read news articles, extract information manually in the past, which is tedious and time-commanding. In the era of big data, we collect large news media datasets automatically, and employ machine learning techniques to do data mining out of those news media data. The aim of our research is to minimize manual labor in searching, filtering, reading and understanding the related news media articles by computer, and to provide potent tools for researchers to retrieve useful information  in the related areas. To validate our methodology, we look Mekong River Basin and Brahmaputra River Basin as case studies into details. To apply our methodology in a global scale, we intend to draw a world map with a timeline to show how water conflict, and cooperation occurs, grows, and transforms. By capturing characteristics of the life cycles of water conflict and cooperation, we aim to throw light upon water management in transboundary river basins, provide some hints for water resources decision-makers, and enhance global water security.

How to cite: Guo, L., Tian, F., Wei, J., and Lu, Y.: Conflict and Cooperation Analysis on Transboundary River Basins Using News Media Text Mining Approach , EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13100, https://doi.org/10.5194/egusphere-egu2020-13100, 2020

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