We were at the 2010 Media Summit in New York earlier this week (where Eduardo was speaking about the Conundrum of Content Monetization). Unfortunately this meant we couldn’t make it to WeMedia 2010, which was on at the same time. Despite our absence, we did get discussed during WeMedia 2010, thanks to Krista Thomas of OpenCalais who used Newstogram as a case study during her workshop on Optimizing Content using Semantic Tech.

I’ve embedded Krista’s presentation below as the slides give a great overview of semantic technologies and highlight some innovative uses of semantic metadata to improve reader engagement, improve ad placement and connect content to the growing Linked Data network.

(and FYI the case study on Newstogram is on slide 15)

The recent release of the study “Understanding the Participatory News Consumer” by the Project for Excellence in Journalism and Pew Internet Center received a ton of coverage and commentary. The report cited three P’s that are important to evolving news consumption: “People’s relationship to news is becoming portable, personalized, and participatory.”

But of the three, most of the attention focused on portable and participatory. No doubt that mobile already is a big part of news consumption and will keep growing. Consumers interacting with and even “remixing” the news also will make for some intriguing developments. We, for obvious reasons, think the third P – personalized – deserves more attention.

Most coverage picked up a single stat on personalization: That 28% have customized their home page to include news from their favorite sources and topics. A more telling statistic was largely overlooked: “40% of internet users say an important feature of a news website to them is the ability to customize the news they get from the site.”

Unfortunately, what users say they want and what they actually do is often at odds. They say they want personalization, but then few take the time to make the choices and select their topics of interest. That’s why Newstogram’s approach of implicit personalization based on the stories each user is reading is so valuable.

And personalization goes hand-in-hand with the other P’s. As more news consumption occurs on smaller, portable devices, the need for personalization becomes more important. And giving users more news that is personally relevant gives them more incentive to participate with the news.

DailyMe’s Newstogram technology is a breakthrough system that understands news users’ interests across a vast range of topics.

Newstogram is transparent and operates in the background, tracking and analyzing what users read at a granular level to understand the topics they’re interested in. By collecting detailed data about the relationships between individual users, the stories they read and the entities1 mentioned in those stories, the Newstogram system is able to aggregate and present this data in different ways to provide unique and valuable information about the interests of different users or groupings of users.

DailyMe has created the Newstogram system to be easy for news publishers to add to their site. Implementing Newstogram is straightforward, requires virtually no work on the publisher side and can be operational within a matter of days.