Breakdown of contents, based on a random sample of 2,000 tweets:
"News - 3.60%
Spam - 3.75%
Self-promotion - 5.85%
Pointless babble - 40.55%
Conversational - 37.55%
Pass-along value - 8.70%"
Classification was as follows:
"
NewsAny sort of main stream news that you might find on your national news stations such as CNN, Fox or others. This did not include tech news or social media news that you might find on TechCrunch or Mashable.
SpamThese are the tweets such as “See how I got 3,000 followers in one day” type of tweets.
Self-PromotionThese are typical corporate tweets about products, services, or “Twitter only” promos.
Pointless BabbleThese are the “I am eating a sandwich now” tweets.
ConversationalThese are tweets that go back and forth between folks, almost in an instant message fashion, as well as tweets that try to engage followers in conversation, such as questions or polls.
Pass-Along ValueThese are any tweets with an “RT” in it.
Now, if there were any tweets that could fit into more than one category (which was rare), if it started with “@”, we deemed it as conversational, even if it was a news item or self-promotion."
Source: Pages 4&5 of
Pear Analytics twitter Study, August 2009