scholarly journals National interests and coalition positions on climate change: A text-based analysis

2020 ◽  
pp. 019251212095353
Author(s):  
Paula Castro

Coalitions play a central role in the international negotiations under the United Nations Framework Convention on Climate Change. By getting together, countries join resources in defending their interests and positions. But building coalitions may come at a cost. Coalition positions are a result of compromise between their members, and thus the increase in bargaining power may come at a price if the preferences of their members are heterogeneous. Relying on automatic text analysis of written position papers submitted to the negotiations, I analyze the extent to which coalitions represent the preferences of their members and discuss whether this contributes to disproportionate policy responses at the international level. I focus on a recently formed coalition: the Like-Minded Developing Countries, a large and heterogeneous group that brings together emerging, oil-dependent and poor developing countries.

2012 ◽  
Vol 56 (1) ◽  
pp. 19-25 ◽  
Author(s):  
Yair Neuman ◽  
Yohai Cohen ◽  
Dan Assaf ◽  
Gabbi Kedma

Author(s):  
Wouter van Atteveldt ◽  
Kasper Welbers ◽  
Mariken van der Velden

Analyzing political text can answer many pressing questions in political science, from understanding political ideology to mapping the effects of censorship in authoritarian states. This makes the study of political text and speech an important part of the political science methodological toolbox. The confluence of increasing availability of large digital text collections, plentiful computational power, and methodological innovations has led to many researchers adopting techniques of automatic text analysis for coding and analyzing textual data. In what is sometimes termed the “text as data” approach, texts are converted to a numerical representation, and various techniques such as dictionary analysis, automatic scaling, topic modeling, and machine learning are used to find patterns in and test hypotheses on these data. These methods all make certain assumptions and need to be validated to assess their fitness for any particular task and domain.


Science ◽  
1970 ◽  
Vol 168 (3929) ◽  
pp. 335-343 ◽  
Author(s):  
G. Salton

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