DISQUS

Jeff P · 1 year ago

I'd like to see the numbers, in particular, total visits, bounce rate and length of visit. It would be curious to see if a video were on your site if that would have engaged them or if they were merely window shopping.

Dave · 1 year ago

I'd love raw data (CSV & Excel?) in addition to charts...I'm picturing Twitter username, time/date of tweet, text of tweet, Twitter username of person they heard from, time/date of comment on blog (if any), and text of comment on blog. That'll give you/us a good picture of what happened yesterday.

The next step, I think, would be to develop some loose ideas about what types of people participated in what way, but you'd have to gather more data on each Tweeter, probably from their Twitter profile: location, occupation?, # followers, # followed. I'm looking to be able to say things like "##% of re-tweeters work in the (blank) industry". "People living in (locations) re-tweeted within (average time)." "Everyone who tweeted had a combined total of (number) followers, but there were (number) known retweets of the message."

In any case, I think there would be real value to you putting all the results together at the end as an article or a nice PDF, since there's really a dearth of research on Twitter (well, judging by the references on Wikipedia).

Jill · 1 year ago

I think part of the reason this spread so well is the content. You weren't selling/pushing anything. There was a curiousity to it and so many of us in the Twitter space are interested in how ideas spread.

Bertil Hatt · 1 year ago

I believe the forking comes from the fact that many Twitter clients the four I use, at least) have nothing convenient for simple forwarding: you can't even copy-paste the tweets on some!

You might also want to check if people were not using different names in there 'RT': some might have called it ‘just a test’ or ‘go there’ — your page was rather explicit.

clare · 3 months ago

Interesting experiment !