San Antonio-based market-research firm Pear Analytics analyzed 2,000 tweets (originating from the US and in English) over a two-week period in August 2009 from 11:00 AM to 5:00 PM (CST) and separated them into six categories:
Pointless babble – 40%
Conversational – 38%
Pass-along value – 9%
Self-promotion – 6%
Spam – 4%
News – 4%
Social networking researcher danah boyd responded to the Pear Analytics survey by arguing that what the Pear researchers labelled "pointless babble" is better characterized as "social grooming" and/or "peripheral awareness" (which she explains as persons "want[ing] to know what the people around them are thinking and doing and feeling, even when co-presence isn’t viable").