GalleyCat FishbowlNY FishbowlDC UnBeige MediaJobsDaily SocialTimes AllFacebook AllTwitter LostRemote TVNewser TVSpy AgencySpy PRNewser

Posts Tagged ‘Twitter’

Israeli Tech Start-up Spot.IM Enables Publishers To Turn Visitors Into a Community

spot.im post picThe creators of Tel Aviv-based Spot.IM say that their free platform, now currently in Beta, can turn any website into its own social network, thus greatly diminishing the need and reliance on external, social media giants such as Facebook, Twitter and countless others.
Read more

Mediabistro Course

Personal Essay Writing

Personal Essay WritingStarting October 28, work with a published journalist to draft, edit, and sell your first-person essays! Jessica Olien will help you to workshop your writing so that it's ready to pitch to editors. You'll learn how to tell your personal story, self-edit you work to assess voice, style, and tone, and sell your essays for publication. Register now!

Journos React to News of a Filtered Twitter

twitterToday, Twitter made it clear that they are going to start filtering your timeline in a Facebook-like fashion. Or not, depending on who you read. If the tech industry is trying to delight us, this is not the way. At least for the media-minded who use Twitter for ideas, reporting, and, well, everything. Here are some takes from journalists on the rumors:

 

And some good ideas from Zeynep Tufekci:

 

What do you think about filtering the feed? Let us know @10,000Words.

Which Pubs Perform the Best on Social Media?

Shareablee_co_smallAs the media landscape evolves, we’re learning that publishers have much more to concentrate on than just putting out good editorial content and having a nice website. Today’s media organizations must put strong focus on having a powerful social media presence, as Sharablee, a social engagement analysis company, has found.

Last week, Shareablee compiled its first list ranking which digital and print publishing arms have the best handle on social media. The monthly list is intended to be helpful to advertisers looking to get the very best when it comes to choosing where to allocate their dollars and publisher audience engagement.

The Shareablee Audience Engagement Ranking of Publishers is calculated based on various publishers’ progress in growing readerships on Facebook, Twitter and Instagram. Here is a more in-depth explanation of what defines “engagement,” according to a press release from Sharablee:

Read more

Friday Roundup: The Week in Journalism

huffpostAPtweet.jpgIf anyone complained about dog days of summer in the newsroom, this week you got what you wished for. Here are some highlights in all of the chaos that was the news this week:

1) You can’t win if you’re covering Gaza. John Stewart illustrated this best in a skit on Monday night. And the New York Observer called out the New York Times for what it thinks is biased coverage of recent events. The ‘paper of record’ doesn’t think it’s doing anything wrong. What about you? How have you been staying objective — or have you decided to ditch that effort?

BREAKING: Dutch military plane carrying bodies from Malaysia Airlines Flight 17 crash lands in Eindhoven.

— The Associated Press (@AP) July 23, 2014

2) A lot of us need to read slower and learn AP style. On Tuesday, the AP tweeted about a plane carrying the victims of flight MH17. AP style is “crash-landed,” anyway, but a lot of us journos need to slow down. It was like we were waiting to start a fight with them. Read more

Which Tweet Wins? See If You Can You Out-Predict A Computer

If you work in social media, or any online media site really, for very long, you learn that it’s hard to predict which post or piece of content will go viral. That doesn’t stop people from trying.

The latest attempt? The New York Times has the details on a collaboration by three computer scientists who developed an algorithm that, with relative accuracy, can tell you which of two tweets to the same content by the same user will more likely be reshared. This is how those developers explain their project:

… [W]e take advantage of the surprising fact that there are many pairs of tweets containing the same url and written by the same user but employing different wording. Given such pairs, we ask: which version attracts more retweets? This turns out to be a more difficult task than predicting popular topics. Still, humans can answer this question better than chance (but far from perfectly), and the computational methods we develop can do better than an average human …

How is that possible? A huge body of data to pull from. In A/B tests, it predicts which tweet will be more popular correctly 67 percent of the time, compared to the 61 percent of tweets more likely to be retweeted that humans guess correctly, according to the NYT. Before you get too depressed, read the full article to see why your computer won’t be replacing you or your social community manager anytime soon.

socialprediction_featured

Then just for fun: The NYT’s The Upshot takes this idea one step farther and put together this fascinating 25 question gut check to see if YOU can beat their algorithm and predict with more success whether one tweet will go viral or one tweet will go silent.

It’s harder than it sounds! I got 15 vs. the computer’s 19. So what do you get?

NEXT PAGE >>