bellecarrell / twitter_brand

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)?
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stratified user sample -- 3 file types + 400 users per bin #54

Closed bellecarrell closed 6 years ago

bellecarrell commented 6 years ago

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).

for each follower interval, save 3 files (full json, csv with selected fields for mturk, and one with just ids for pasttweets script)

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

bellecarrell commented 6 years ago

in the middle of adding writing for csv and id files. will return after appt

bellecarrell commented 6 years ago

testing now

bellecarrell commented 6 years ago

forgot to save all users in each bin. adding that now

bellecarrell commented 6 years ago

running now