Apr 202011
 

According to Google Insights for Search, which “analyzes a portion of worldwide Google web searches from all Google domains,” there was more interest in the word “news” during the month of March than any other month since July 2005.

The graph below shows search volume (for the word news) on a scale from 0 to 100. Volume was 100 in July 2005, and 96 in March 2011. Read about how Insights for Search works to learn more about the graph.

Apr 142011
 

After compiling yesterday’s list of the most influential U.S. newspapers on Twitter, based on their Klout scores, I thought it would be interesting to see how some online information sites compare. Here are some apples-to-oranges observations.

If you found this interesting, here are other  pages you might want to read:

Apr 132011
 

I ran a handful of newspaper Twitter accounts through Klout this morning to measure their social media influence. Klout uses “35 variables on Facebook and Twitter” to create a score that it describes as a measurement of “overall online influence.”

After Dylan Stableford (@stableford) published a list of top 25 newspapers on Twitter,  based on print circulation, Mathilde Piard  (@mathildepiard) followed with her own list of top newspapers on Twitter that “goes by number of followers on Twitter, not circulation.” I used the accounts from those posts to create the list below. Make sure to read those posts to learn about the selection process.

Here are the numbers. Click on a Twitter username to visit the account. Click on a Klout score for details about that measurement. Oh, and feel free to see the data in this Google Doc.

 

Apr 082011
 

The number of “likes” usually displayed alongside the Facebook like button is really an aggregate of shares, likes and comments. This morning, I took an arbitrary mix of Facebook related stories and found that the actual number of likes only accounted for a 39% of the number displayed. This is by no means scientific, but I think it’s noteworthy.

Why does this matter? Because news sites are publishing factual inaccuracies in articles that say things like “100 people recommend this” when in fact only 39 people did.

Here are the stories that I looked at this morning:

All told, the like buttons claimed that those pages were liked or recommended 4,622 times. In fact, they were liked or recommended only 1,790 times.

In case you didn’t click on the first link in this post, I got the real “like” numbers by using my RealShare tool.

Feel free to take a look at the data in my malformed Google Doc.