Cited By
View all- De Lombaerde PNaeher DVo HSaber T(2023)Regional economic integration and machine learning: Policy insights from the review of literatureJournal of Policy Modeling10.1016/j.jpolmod.2023.07.001Online publication date: Jul-2023
From media reporting to international relations: a case study of asia-pacific economic cooperation (apec)
Authors: 
Chun-Hua Tsai, 
Yu-Ru LinAuthors Info & Claims
Pages 279 - 280
Abstract
Network analysis has brought new perspectives in studying emergent structure in international relations. Prior work on networks of international relations has mostly relied on data derived from formal alliances and trade flows, which can hardly capture the rapidly evolving international relations due to globalization and recent advances in information technology. In this work, we propose a novel research design that aims at capturing ``real-time'' international relations through news reporting. We collect worldwide news on a daily basis, and characterize the relationship between any two countries through analyzing the similarity of their news content. Our empirical results based on news about the APEC (Asia-Pacific Economic Cooperation) CEO Summit in 2013 revealed interesting and meaningful international relations among member countries.
References
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A. S. Das, M. Datar, A. Garg, and S. Rajaram. Google news personalization: scalable online collaborative filtering. In Proceedings of the 16th international conference on World Wide Web, pages 271--280. ACM.
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E. M. Hafner-Burton, M. Kahler, and A. H. Montgomery. Network analysis for international relations. 63(3):559--592.
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D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. 401(6755):788--791.
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Index Terms
- From media reporting to international relations: a case study of asia-pacific economic cooperation (apec)
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Information
Published In
June 2014
318 pages
ISBN:9781450326223
DOI:10.1145/2615569
- General Chairs:
- Filippo Menczer,
- Jim Hendler,
- William Dutton,
- Program Chairs:
- Markus Strohmaier,
- Eric T. Meyer,
- Ciro Cattuto
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 23 June 2014
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WebSci '14
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WebSci '14 Paper Acceptance Rate 29 of 144 submissions, 20%;
Overall Acceptance Rate 245 of 933 submissions, 26%
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Cited By
View all- De Lombaerde PNaeher DVo HSaber T(2023)Regional economic integration and machine learning: Policy insights from the review of literatureJournal of Policy Modeling10.1016/j.jpolmod.2023.07.001Online publication date: Jul-2023
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