The Coding Process for Timeline Analysis
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Transcript of The Coding Process for Timeline Analysis
Coding
Putting the pieces together
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)
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
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)
The Archiver
Tagxedo
Step 3: The Unpleasant Bit
• Raw data needs to be processed
– Manual
– Automated
Step 4: Coding
• Benefits of Manual Coding– Subjective judgement– You learn a lot– Accuracy in semantics
• Downsides– You learn a lot.– Time consuming.
Coding Process
• Clean the data– Assign IDs to tweets
• Add the additional notes columns– Time Frames– Categories– Sub Category– Sentiment (optional)
Coding Choice
• Visual or numerical?– Code book versus Code words
• Currently: Excel with visual
Excel.
A valued ally.
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
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
Exemplar Category
Pass-Along
Pass Along
• Automated Endorsement• Endorsement• Retweet• Secondary Social Media• User Generated Content
Knowing is only half the battle.
The other half involves strategy
Questions
@stephendann | [email protected]