Software tells Bloggers What Readers Want
IBM has created a widget that crowd-sources ideas for blog posts.
Blogging
often sounds like a great idea: sharing thoughts and expertise, becoming a part
of a community, and taking the first few steps to wider recognition as a writer.
But many bloggers quickly get disillusioned.
IBM’s internal records
show, for example, that only three percent of the company’s employees have
posted to a blog at all. Of those who have, 80 percent have posted only five times or
fewer. Many of the people interviewed for the study say they stopped blogging–or never got started–because
they didn’t think anyone would read their posts.
In
an effort to fix this problem, IBM researchers have been experimenting with a tool called Blog Muse,
which suggests a topic for a blog post with a
ready-made audience.
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“We
saw this disconnect between readers and writers,” says Werner Geyer, a
researcher at IBM’s center for social software in Cambridge who was involved
with the work. The writers surveyed often weren’t sure how to
interest readers, and many of their posts got little to no response. Readers,
on the other hand, couldn’t find blogs on the topics they wanted to read about.
So
Geyer and his colleagues built a widget to bring these two halves of the problem closer
together. Readers use the widget to suggest topics they want to read about, and they can vote in
support of existing suggestions. Those suggestions then get sent to possible
writers, matching topics to writers by analyzing his social network connections
and areas of expertise.
The
researchers found that writers were most likely to post on a topic suggested by
a sizeable audience, and that audience members followed up by read posts on requested
topics. Blog posts resulting from the system also received about twice as many
comments, three times as many ratings, and much more traffic, says Casey Dugan, another researcher at IBM’s Cambridge
center.
The
effort didn’t substantially increase the quantity of posts however. The researchers
speculate that this is because users who planned to write blog posts anyway simply chose suggested
topics rather than coming up with their own.
The researchers want to do a larger, longer-term deployment of the original tool (their
research was done over four weeks with 1,000 users). And they plan to present
their results in April at the ACM Conference on Human Factors
in Computing Systems in
Atlanta, GA.
