15:00 - 16:40
P4
Room:
Room: Meeting Room 2.3
Panel Session 4
A. Maurits van der Veen - Many identities, one discourse? Measuring the European public sphere
Kristijan Fidanovski - The Perils of Protracted EU Accession: “Eurofundamentalist” and “Euroopportunistic” Governmental Discourses on the EU in North Macedonia and Serbia
Christina Gahn - How much targeting is `too much'? Voters' backlash on highly targeted campaign messages
Olesya Sheblo - Discursive strategies of the authoritarian regime in Myanmar concerning country’s involvement into regional cooperation: evidence from the computational text analysis
Christian Arnold - The Politics of Psychological Distance
Discursive strategies of the authoritarian regime in Myanmar concerning country’s involvement into regional cooperation: evidence from the computational text analysis
P4-3
Presented by: Olesya Sheblo
Olesya Sheblo
Gakushuin University
Whereas in accordance with Copenhagen criteria democratic governance and market economy are the essential conditions for the institutional enlargement in Europe, regional cooperation in Asia follows a more pragmatic logic of geographical inclusiveness and mutual respect of different forms of the political regime. Thus, none of the countries that became ASEAN members in 1990th can be classified as democratic. Among them, Myanmar during the 24years of its membership has experienced a series of armed conflicts, revolution, and coup d’état alternated with attempts of liberalization. Using the corpus of the official newspaper of Myanmar’s government – The [Global] New Light of Myanmar (13521 articles for the period 03.1997-11.2021 where “ASEAN” appeared at least once), and working with the Quanteda package, the author seeks to answer the following questions: 1). what areas of the cooperation are mostly highlighted? 2). what countries are presented as the major partners? For this, three vocabularies on the main pillars of ASEAN cooperation (economic, security, and socio-cultural cooperation) were coded and based on the cosine proximity to them strategic partners were stated. After that, using the NLTK in Python author develops a tense comprehensive model and calculates the percentage of the past, present, and future forms for each vocabulary and partner country. The findings indicated the general increase of the socio-cultural vocabulary during the years of armed conflicts in its present tense form. While as the major economic partner was presented not any ASEAN member-country, but China with a strong tendency for future tense usage since 2015.