{"id":49,"date":"2025-04-14T20:52:40","date_gmt":"2025-04-14T20:52:40","guid":{"rendered":"https:\/\/classprojects.digitalwcu.org\/SugarFreeRB\/?page_id=49"},"modified":"2025-04-28T18:58:00","modified_gmt":"2025-04-28T18:58:00","slug":"methods-used-in-the-acled-project","status":"publish","type":"page","link":"https:\/\/classprojects.digitalwcu.org\/SugarFreeRB\/methods-used-in-the-acled-project\/","title":{"rendered":"Methods Used in the ACLED Project"},"content":{"rendered":"\n

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ACLED follows a clear, multi-step methodology to transform raw reports into structured, actionable conflict data. This approach reflects strong documentation and research integrity \u2014 essential values in the DH community.<\/p>\n<\/div><\/div>\n\n\n\n

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Step 1: Source Identification<\/h3>\n\n\n\n

-collect raw event data from hundreds of sources including:<\/p>\n\n\n\n

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  • Local & international news media<\/li>\n\n\n\n
  • NGO and humanitarian reports<\/li>\n\n\n\n
  • Verified crowd-sourced reports<\/li>\n\n\n\n
  • Why it matters: Ensures broad coverage and local specificity \u2014 essential in regions underrepresented in traditional datasets.<\/li>\n<\/ul>\n\n\n\n
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    Step 2: Data Coding & Structuring<\/h3>\n\n\n\n
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    • What happens: Each event is:\n
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      • Categorized by type (e.g., protest, violence against civilians)<\/li>\n\n\n\n
      • Tagged with actors, location, fatalities, and notes<\/li>\n<\/ul>\n<\/li>\n\n\n\n
      • Link to Tools: This step connects directly to tools like acledR for tagging and CAST for future forecasting.<\/li>\n\n\n\n
      • DH Method Alignment: Represents a classic example of qualitative data turned into structured quantitative formats \u2014 a major DH method.<\/li>\n<\/ul>\n\n\n\n
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