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Myanmar Protest Event Dataset v.1.1

Version
1
Resource Type
Dataset
Creator
  • Buschmann, Andy (Humboldt-University Berlin)
Publication Date
2017
Classification
  • ZA:
    • Communication, Public Opinion, Media
    • Political Attitudes and Behavior
    • Political Institutions
    • Political Parties, Organizations
    • Legal system, Legislation, Law
Description
  • Abstract

    The “Myanmar Protest Event Dataset” aims at collecting data from protest events in Myanmar (the former Burma), which allows pursuing various research projects. The dataset contents are derived from the most visible forms of assembly (demonstrations, protest marches, and labor strikes) and were collected with a protest event analysis. In this dataset, English online newspaper articles of “The Irrawaddy” between February 4, 2011 (the inauguration of President Thein Sein) and December 31, 2014 (to be continued) were utilized as the primary media source (N=185). The coding basis of variables was set by the code scheme of the, in its approach similar, research project “Prodat” conducted at the Wissenschaftszentrum Berlin (WZB). In the special transition context of Myanmar, additional variables had to be added (see code sheet). The 114 variables range from information on the actual moment of the protest event to the aftermath (e.g., legal consequences for protesters, successful claims, ...). The dataset was originally created for a research project, which assesses Myanmar's political transition (see andybuschmann.com for publications).
Temporal Coverage
  • 2011-02 / 2014-12
  • 2011-02 / 2014-12
Geographic Coverage
  • Myanmar / MM
Collection Mode
    • Content Analysis
    • Content Analysis
Data and File Information
  • Number of Variables: 114
    • File Name: Myanmar_Protest_Event_Dataset_v.1.1.dta
      File Format: application/x-stata
      File Size: 1549600
      Data Fingerprint: bfbb7eb52107c2f30f7d223f6d5fee99
      Method Fingerprint: MD5
  • Number of Variables: 114
    • File Name: Myanmar_Protest_Event_Dataset_v.1.1.dta
      File Format: application/x-stata
      File Size: 1549600
      Data Fingerprint: bfbb7eb52107c2f30f7d223f6d5fee99
      Method Fingerprint: MD5
    • File Name: Code_Sheet_v.1.1.pdf
      File Format: application/pdf
      File Size: 143401
      Data Fingerprint: 4815f2067006724fba9f89a673ce3286
      Method Fingerprint: MD5
    • File Name: Code_Sheet_v.1.1.pdf
      File Format: application/pdf
      File Size: 143401
      Data Fingerprint: 4815f2067006724fba9f89a673ce3286
      Method Fingerprint: MD5
    • File Name: Change_Log_v.1.1.txt
      File Format: text/plain
      File Size: 1729
      Data Fingerprint: e1786ecf466968241465b665496cd4d6
      Method Fingerprint: MD5
    • File Name: Change_Log_v.1.1.txt
      File Format: text/plain
      File Size: 1729
      Data Fingerprint: e1786ecf466968241465b665496cd4d6
      Method Fingerprint: MD5
    • File Name: Comments_v.1.1.pdf
      File Format: application/pdf
      File Size: 63354
      Data Fingerprint: 91db753af81422b90b9b98aafc5994c7
      Method Fingerprint: MD5
    • File Name: Comments_v.1.1.pdf
      File Format: application/pdf
      File Size: 63354
      Data Fingerprint: 91db753af81422b90b9b98aafc5994c7
      Method Fingerprint: MD5
    • File Name: Methodology_Report_v.1.1.pdf
      File Format: application/pdf
      File Size: 144516
      Data Fingerprint: 3095c29860232d31bd09b8b3c3a837cc
      Method Fingerprint: MD5
    • File Name: Methodology_Report_v.1.1.pdf
      File Format: application/pdf
      File Size: 144516
      Data Fingerprint: 3095c29860232d31bd09b8b3c3a837cc
      Method Fingerprint: MD5
Note
Source: http://www2.irrawaddy.com
Availability
Download
Restricted Access
Rights
CC BY 4.0
Publications
  • Buschmann, Andy (2017) Does the data reveal declining dictatorship in Myanmar?;http://www.newmandala.org/data-reveal-declining-dictatorship-myanmar/

Update Metadata: 2019-10-01 | Issue Number: 2 | Registration Date: 2017-04-11

Buschmann, Andy (2017): Myanmar Protest Event Dataset v.1.1. Version: 1. GESIS Datenarchiv. Dataset. https://doi.org/10.7802/1442