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Computational International Relations: What Can Programming, Coding and Internet Research Do for the Discipline?

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... Social media generates vast amounts of data and thanks to advanced techniques in natural language processing (NLP), researchers can use that data to generate many interesting insights (see section 4 for a more detailed explanation of the methods used). This has given way to a strand of international relations research sometimes called "computational international relations" (Unver, 2018). Generally, research of this type uses one or a combination of tools such as data mining, NLP, automated text analysis, web scraping, geospatial analysis and machine learning to study international relations. ...
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This paper uses text mining and sentiment analysis of Twitter posts to explore the EU’s diplomatic communication practices and to measure public opinion on foreign affairs. Building on an original dataset of almost one million tweets from the past five years, this analysis reveals differences in public perceptions of the EU’s relationship with China, India and Russia. Attitudes are most positive in the case of the EU–India relationship, followed by EU–China and EU–Russia. Furthermore, the paper examines hundreds of official EU Twitter accounts, specifically their communications on diplomatic relations with these countries. A main finding is that the EU talks about its diplomatic relations in more positive terms than the wider public, though this verbal politeness effect is less pronounced in the case of EU–Russia relations.
... In addition to numerous theoretical approaches, the IR discipline has witnessed aconsiderable proliferation of research methods. Nowadays, a typical research toolkit in IR includes simulation and modelling (Alker & Brunner 1969;Ruloff 1976;Snidal 2004), manual event analysis (McClelland 1970), computational event analysis (Bennett & Stam 2000;Schrodt 2000), cognitive mapping (Johnston 1995), case study (Bennett and George 2005), statistical analysis (King, Keohane, & Verba 1994;Braumoeller & Sartori 2004), and computer data mining (Unver 2019). ...
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