The Coding Process for Analysis timelines: Step by step guides to turning the Dann 2010 article into spreadsheets, code books and numbers.

1. Coding Putting the pieces together

2. Step 1: Cache your data External Timeline Twapperkeeper (eg #smph2011) The Archivist (Desktop) Twitter Archiver (newish) Internal Timeline Twapperkeeper (own account only) TwitterArchiver (any public account)

3. Data Collection Issue Limited back stories Archivist has a limited cache Twitter to PDF has a 3K previous limit TwapperKeeper has a background limit Plan in advance, or improvise quickly

4. Step 2: Visual first pass Aim: Get a top level sense of the data Hashtags Archivist Visualisations (online) Archivist Desktop Summarizer Timelines TweetStats(online) Tagxedo (online)

5. The Archiver

6. Tagxedo

7. Step 3: The Unpleasant Bit Raw data needs to be processed Manual Automated

8. Step 4: Coding Benefits of Manual Coding Subjective judgement You learn a lot Accuracy in semantics Downsides You learn a lot. Time consuming.

9. Coding Process Clean the data Assign IDs to tweets Add the additional notes columns Time Frames Categories Sub Category Sentiment (optional)

10. Coding Choice Visual or numerical? Code book versus Code words Currently: Excel with visual

11. Excel. A valued ally.

12. Step 3: It’s time to start coding Top Level Coding Pass 1: identify time periods of interest Pass 2: Tag Conversational (@reply) Pass 3: Identify Pass-Along (RT, http) Pass 4: News / Status / Phatic

13. Step 4 Sub Category Coding Pass-Along / Conversational Easier to code, relatively stable Phatic / Status / News Harder to code Can (or should) move Can be multiple category* New

14. Exemplar Category Pass-Along

15. Pass Along Automated Endorsement Endorsement Retweet Secondary Social Media User Generated Content

16. Knowing is only half the battle. The other half involves strategy

17. Questions @stephendann | stephen.dann@anu.edu.au