In developing a brand on Twitter (and social media in general), how does what you say and how you say it correspond to positive results (more followers, for example)?
0
stars
1
forks
source link
stratified user sample -- 3 file types + 400 users per bin #54
Okay, if you are ready, sample 400 users or so from each bin, and pull past tweets for as well using the pull_brand_data.py script. Make sure you don't pull for everyone (will eat up a lot of space).
[x] change sample size to 400
for each follower interval, save 3 files (full json, csv with selected fields for mturk, and one with just ids for pasttweets script)
[x] save full json
Sure, we'll need those eventually when submitting to Mturk. We should decide which fields to keep in the MTurk CSV before you write this out though. I would save the following columns: id, name, screenname, description, follower_count
for each follower interval, save 3 files (full json, csv with selected fields for mturk, and one with just ids for pasttweets script)
[x] save csv file for mturk submission
[x] save id
[x] save ALL users in each bin
[x] test/debug