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  • clarehiler 6:33 pm on March 17, 2011 Permalink | Reply
    Tags: active fans, , , , Likes, ,   

    A new Mashable article looks at the top… 

    A new Mashable article looks at the top engaged Facebook pages. Justin Bieber, Texas Hold’em Poker, Manchester United… just to name a few.

    Not mentioned on the list? A single news organization.

    What aren’t news organizations competitive on this list? Shouldn’t we as news organizations and journalists attempt interaction regularly, and take social media more seriously? Or, do journalists feel as if social media isn’t as important as gathering the news?

    Let us know!

     
  • clarehiler 8:02 pm on March 14, 2011 Permalink | Reply
    Tags: , Likes, Recommendations, , Yahoo Labs, Yury Lifshits   

    The Like Log Study 

    Yury Lifshits has teamed up with Yahoo Labs for the The Like Log Study. This study look at what stories were being “liked” Facebook and why.

    He specifically looks at the top 40 “liked: articles where he found that “among top stories there are only four articles about factual political news and three about celebrities. The most common type of hit stories is opinion/analysis. Other common themes include: lifestyle, photo galleries, interactives, humor and odd news.”

    Overall here are his top 5 recommendations

    Put significant effort in your top stories.
    According to our study, most websites can capture 30% of their total enagement by publishing only ONE story per week! One story per day can capture 70-80% of your audience reactions. But we rarely see web journalists working weeks on a single story. Here are some examples of “big effort for big story”: events coverage (Oscars, Superbowl), nominations, awards and voting (Fast Company Influence Project, TIME Magazine Person of the Year readers choice), exclusives (Gizmodo iPhone 4 leak), celebrity Q&A (Obama at Youtube, Beckham at Yahoo! Sports), lists (Forbes Billionaires, Vanity Fair ‘Best Dressed’), high-quality infographic & interactives (Good Magazine Transparency blog, NYT ‘You Fix the Budget’), trends and predictions (Read Write Web), liveblogging from top events (Apple announcements), op-eds on most controversial issues. Yahoo! Labs have recently published a paper with detailed analysis of hit/niche balance of interests.

    Improve promotion of your best content.
    According to our measurements, web stories are practically lost 24 hours after publications. Only 20% likes are coming after the first day. This engagement pattern discourages production of “big stories”. To get maximum return on your hits, change your frontpage policy. Best stories should be highly visible. Consider hits-only RSS and twitter feeds, month-in-review / year-in-review programs. TechCrunch Classics is another example of hit promotion. And internal efforts are not enough. Breakout success comes when other media (top TV networks, newspapers and magazines) are picking your story and link back to it.

    Improve your median story.
    Sort all your stories by engagement and pick a story right in the middle of the list. This is called a “median”. A median story has less than 50 likes for majority of websites in our study. In other words, every second story takes more effort from a writer than it brings value to the readers. Recently leaked “The AOL Way” reports their median story to have only 1500 pageviews, and they aim to grow it four times. Publishers should ask themselves: Why do we write so many weak stories?

    Use both intuition and algorithms for demand analysis.
    Some say that best writing can only come from internal compass. Others are writing new articles in direct response to search queries. The key to success is likely somewhere in between. In ideal settings the writers have full control but they are equiped with great tools to navigate content demand. Up to this moment most demand tools were based on search data and internal metrics. The Like Log presented here is a new approach to demand analysis. Likes represent so called “interest graph”, the map of world interests. You can understand your readers better by using our engagement trends technology. And you can get insights into audience of your competitors, too.

    Invest in social media optimization.
    According to our numbers, you should get around 5-20 tweets and likes per 1000 pageviews. If you have less than that, your social distribution is suboptimal. Create different designs for sharing and subscription functionality and split-test them to find the optimal one. Also, make sure to have just one URL for every story and slideshow. Otherwise, your enagement numbers get scattered among article duplicates. Social networks are likely to be a bigger traffic driver in the future. Combining our data with Comscore, we see that average New York Times reader makes only ONE like per year. We expect this number to go up significantly.

    You can contact Yury Lifshits here: lifshits@yahoo-inc.com or on twitter @yurylifshits.

     
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