Recommandé
Contenu connexe
Similaire à Digital activism data set coding training
Similaire à Digital activism data set coding training (20)
Plus de Mer Joyce
Plus de Mer Joyce (20)
Dernier
Dernier (20)
Digital activism data set coding training
- 1. GLOBAL DIGITAL ACTIVISM DATA SET 2.0 CODERTRAINING May18, 2013
- 2. WHO IS DOINGTHIS RESEARCH? The Digital Activism Research Project | www.digital-activism.org
- 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. 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. YOUR ROLE • Analyze digital activism campaigns • ...and turn that information into comparable data. sources: GlobalVoices, Greenpeace, Fahamu
- 6. HOW? • 1. Read descriptions of digital activism campaigns.
- 7. HOW? • 2.Answer questions about those campaigns using the variables in the codebook.
- 8. HOW? • 3. Submit your variable values for each campaign using the online coder form.
- 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. WHYTHISTRAINING? • 1.To establish reliability (agreement) among coders. Argentina! Argentina! Argentina! Argentina! Brazil! 99? X ✓
- 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. 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. 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. 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. 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
- 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. 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. NOW LET’S READTHROUGH THE CODEBOOK