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GDADS2 Coder Training Introduction v. 2.0

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GDADS2 Coder Training Introduction v. 2.0

  1. 1. GLOBAL DIGITAL ACTIVISM DATA SET 2.0 CODERTRAINING May18, 2013
  2. 2. WHO IS DOINGTHIS RESEARCH? The Digital Activism Research Project | www.digital-activism.org
  3. 3. OUR RESEARCH QUESTION •What are the key features of digital activism campaigns around the world? •How do these features correlate with various measures of success?
  4. 4. OUR METHOD •Use content analysis •...to ask questions about a large number of digital activism campaigns •...and end up with quantitative and comparable answers.
  5. 5. YOUR ROLE • Analyze digital activism campaigns • ...and turn that information into comparable data. sources: GlobalVoices, Greenpeace, Fahamu
  6. 6. HOW? • 1. Read descriptions of digital activism campaigns.
  7. 7. HOW? • 2.Answer questions about those campaigns using the variables in the codebook.
  8. 8. HOW? • 3. Submit your variable values for each campaign using the online coder form.
  9. 9. HOW? • Read descriptions of digital activism campaigns. • Answer questions about those campaigns using the variables in the codebook. • Submit your variable values for each campaign using the online coder form. Any questions on the basic process?
  10. 10. WHYTHISTRAINING? • 1.To establish reliability (agreement) among coders. Argentina! Argentina! Argentina! Argentina! Brazil! 99? X ✓
  11. 11. WHYTHISTRAINING? • 2.To identify any unclear or ambiguous instructions in the codebook and fix them. I don’t understand these instructions. X ✓ This is so clear now! PS:We will not change the variables themselves. We will only change the instructions to make the meaning of those variables clearer.
  12. 12. DIGITAL ACTIVISM CAMPAIGNS • There are many kinds of digital activism. • The kind of digital activism we are studying here is the digital persuasion campaign. • The variables in the codebook measure the key elements of a digital persuasion campaign.
  13. 13. Campaign initiators and their supporters use digital technology to convince a target to implement a change goal, resulting in an outcome. DIGITAL PERSUASION CAMPAIGN DEFINITION
  14. 14. Campaign initiators and their supporters use digital technology to convince a target to implement a change goal, resulting in an outcome. initiators digital technology target goal outcome DIGITAL PERSUASION CAMPAIGNS
  15. 15. Campaign initiators and their supporters use digital technology to convince a target to implement a change goal, resulting in an outcome. initiators digital technology targetgoal outcome DIGITAL PERSUASION CAMPAIGNS
  16. 16. initiators digital technology targetgoal outcome DIGITAL PERSUASION CAMPAIGNS
  17. 17. initiators digital technology targetgoal outcome DIGITAL PERSUASION CAMPAIGNS
  18. 18. initiators digital technology targetgoal outcome DIGITAL PERSUASION CAMPAIGNS
  19. 19. initiators digital technology target goal outcome DIGITAL PERSUASION CAMPAIGNS
  20. 20. THEVARIABLES initiators digital technology target goal outcome
  21. 21. initiators digital technology target goal outcome •INITDESC (initiator description): write-in •FRML, INFRML, INDIV(initiator types): binary •INITCOUN (initiator country): write-in code •GOALDESC (goal description): write-in •GOALTYPE (goal type): multiple choice •VAL (valence): binary choice •TARGDESC: (target description): write-in •TARGTYPE: (target type): multiple choice •TARGCOUN (target country): write-in code •TARGLEV (geographic level of target): multiple choice •PARTON (online participation): write-in •PARTOFF (offline participation): write-in •VIOL (violence): binary choice •OUTCOME: multiple choice •SITE: paste URLs (for all) •FORUM •EPET (e-petition) •SOCNET (social network) •MICBLOG (micro-blog) •BLOG •VIDEO •MAP •SMS: binary choice THEVARIABLES
  22. 22. initiators digital technology target goal outcome •INITDESC (initiator description): write-in •INITTYPE (initiator type): multiple choice •INITCOUN (initiator country): write-in code •GOALDESC (goal description): write-in •GOALTYPE (goal type): multiple choice •VAL (valence): binary choice •TARGDESC: (target description): write-in •TARGTYPE: (target type): multiple choice •TARGCOUN (target country): write-in code •TARGLEV (geographic level of target): multiple choice •SITE: paste URLs •FORUM •EPET (e-petition) •SOCNET (social network) •MICBLOG (micro-blog) •BLOG •VIDEO •MAP •SMS: binary choice THEVARIABLES case meta-data•DATE: automatic •CODER: multiple choice •CASEID: write-in •TITLE: write-in •BYEAR (beginning year): write-in •EYEAR (end year): write-in •NARR (case narrative): write-in citizen journalism •CJCON(citizen journalism): paste URLs •PJCON (professional journalism): paste URLs •PARTON (online participation): write-in •PARTOFF (offline participation): write-in •VIOL (violence): binary choice •OUTCOME: multiple choice Average CodingTime: 22 minutes
  23. 23. NOW LET’S READTHROUGH THE CODEBOOK

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