media, identifying different motivations for sharing and the increased
benefit for advertisers who feature on recommended news pages.
The delightfully named 'Pownar' research (which might sound like one
of Batman's weapons, but actually stands for 'power of news and
recommendation') was conducted over two months with 2,300 consumers
using tracking and surveying. It also used eyetracking and biometrics
to measure readers' engagement with stories.
The most influential news-sharers, and the group which shared 87% of
the stories in the survey, only accounted for 27% of all the users -
tallying with previous definitions of a minority of highly active web
web users that contribute a majority of content online.
The big social networks - Facebook Twitter, YouTube and MySpace,
accounted for 43% of all links shared, email 30%, SMS 15% and instant
messenger 12%.
Researchers identified three primary motivations for sharing, which
differed around the world. In Europe and North America, users had more
altruistic reasons for sharing stories that would be useful to friends
or family, European users tend to share more work-related stories and
Asia-Pacific readers were more likely to 'status' broadcast - share
things that underline or reinforce their own knowledge and identity.
The majority of shared content, around 65%, was major current news
stories, 19% was breaking news and 16% was made up of watercooler
funnies or quirky news. The most commonly recommended content was
national and international news around human-interest stories and
money, as well as science and technology news and "visually
spectacular" stories. Researchers described the act of sharing as one
with "an underlying message of the sharer imparting knowledge".
CNN's senior vice president of research, Didier Mormesse, said the
objective was to identify if how significant recommended stories are
to advertisers. "Though recommended news seems highly unpredictable,
we've have identified a number of key drivers and key motivations, so
we do have some ways of understanding what people share and why they
share," he said. "There's more engagement in emotional terms with
content and advertising in the recommended scenario, as opposed to
randomly consumed content advertising, and brands that are around
recommended stories also benefit from stronger recognition and
recall."
This is the second piece of research by CNN in this area after the
'grapevine' report published last month, which explored how news
spreads through word of mouth.
