Articles | Volume 26, issue 4
https://doi.org/10.5194/hess-26-1165-2022
https://doi.org/10.5194/hess-26-1165-2022
Technical note
 | 
01 Mar 2022
Technical note |  | 01 Mar 2022

Building a methodological framework and toolkit for news media dataset tracking of conflict and cooperation dynamics on transboundary rivers

Liying Guo, Jing Wei, Keer Zhang, Jiale Wang, and Fuqiang Tian

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-383', Anonymous Referee #1, 21 Aug 2021
    • AC1: 'Reply on RC1', Liying Guo, 25 Sep 2021
  • RC2: 'Comment on hess-2021-383', Anonymous Referee #2, 23 Aug 2021
    • AC2: 'Reply on RC2', Liying Guo, 25 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (17 Oct 2021) by Murugesu Sivapalan
AR by Liying Guo on behalf of the Authors (21 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to revisions (further review by editor and referees) (11 Dec 2021) by Murugesu Sivapalan
ED: Referee Nomination & Report Request started (17 Dec 2021) by Murugesu Sivapalan
RR by Anonymous Referee #2 (31 Dec 2021)
RR by Anonymous Referee #1 (08 Jan 2022)
ED: Publish subject to minor revisions (review by editor) (08 Jan 2022) by Murugesu Sivapalan
AR by Liying Guo on behalf of the Authors (13 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (13 Jan 2022) by Murugesu Sivapalan
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Short summary
Data support is crucial for the research of conflict and cooperation on transboundary rivers. Conventional, manual constructions of datasets cannot meet the requirements for fast updates in the big data era. This study brings up a revised methodological framework, based on the conventional method, and a toolkit for the news media dataset tracking of conflict and cooperation dynamics on transboundary rivers. A dataset with good tradeoffs between data relevance and coverage is generated.