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Carri Bugbee

An Algorithm Knows Who Liked the How I Met Your Mother Finale - Adrienne LaFrance - The... - 0 views

  • The Canvs analysis covered about 185,000 tweets, just a portion of the half-a-million tweets that Canvs identified as being related to the finale. The platform only analyzes tweets it is sure it can interpret accurately, founder and CEO Jared Feldman told me. <div><a href="http://pubads.g.doubleclick.net/gampad/jump?iu=%2F4624%2FTheAtlanticOnline%2Fchannel_technology&t=src%3Dblog%26by%3Dadrienne-lafrance%26title%3Dan-algorithm-knows-who-liked-the-em-how-i-met-your-mother-em-finale%26pos%3Din-article&sz=300x185&c=72813788&tile=3" title=""><img src="http://pubads.g.doubleclick.net/gampad/ad?iu=%2F4624%2FTheAtlanticOnline%2Fchannel_technology&t=src%3Dblog%26by%3Dadrienne-lafrance%26title%3Dan-algorithm-knows-who-liked-the-em-how-i-met-your-mother-em-finale%26pos%3Din-article&sz=300x185&c=72813788&tile=3" alt="" /></a></div>
  • An algorithm might recognize the word "enjoy" in a tweet that says, I really didn't enjoy the How I Met Your Mother finale, without realizing that the tweet isn't ultimately positive. You can teach a computer to recognize the "didn't" before "enjoy," but that doesn't go far enough, either.
  • The way that 12-year-olds talk about loving Justin Bieber? There's no dictionary on the planet that captures that."
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  • Canvs uses an algorithm built on years of more nuanced human analysis known as "supervised sentiment analysis" in the industry. The result, Feldman says, is real-time conclusions at a level of sophistication that previously would have taken hours
  • Canvs reviews months of backdata—what you've tweeted, who you follow, where you're tweeting from—to deduce personal information like a viewer's age, gender, ethnicity, income levels, interests, brand loyalty, and so on.
  • Combine those clues with geolocation, gender, and age data, and Feldman says Canvs can confidently guess someone's income bracket. (These data subsets are smaller than the original 117,000-person cohort because specific information like location and gender aren't available for everyone.)
  • For advertisers, there's a reverse-engineering component to using this kind of data, too. Here's how Feldman puts it: "If I'm McDonald's, it'd be fantastic to know: The people who already care about me, what shows are they obsessed with?" 
Carri Bugbee

Twitter's Nascar TV Ad Schools Advertisers on New Product | Digital - Advertising Age - 0 views

  • ut Nascar's new page has a key new feature, which is the ability to pull in tweets related to a live event from a variety of sources. In the case of Nascar, tweets about Pocono 400 were being pulled in from drivers like Jeff Gordon as well as sports writers, and the curation was executed through an algorithm that searched for relevant content with the assistance of human editors, according to a Twitter blog post. It's further evidence of Twitter's desire to be the platform advertisers turn to when they're looking to execute promotions around major live events such as the Super Bowl or the Oscars. Last month, they announced a partnership with ESPN to create branded campaigns around tentpole sports events.
  • #Nascar page is the first of its kind and has a slightly different layout than the brand pages Twitter unveiled in December, which feature customizable header images and enable brands to keep a particular tweet -- often a photo or video that can auto-expand -- at the top,
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    But Nascar's new page has a key new feature, which is the ability to pull in tweets related to a live event from a variety of sources. In the case of Nascar, tweets about Pocono 400 were being pulled in from drivers like Jeff Gordon as well as sports writers, and the curation was executed through an algorithm that searched for relevant content with the assistance of human editors,
Carri Bugbee

Facebook Toys With Twitter-Style Feed Order For Posts About Real-Time Events | TechCrunch - 0 views

  • It’s internally testing “Chronological By Actor,” a new way to display updates about live events so they appear in order from most recent to oldest, surrounded by feed posts ranked by its traditional relevance-sorting. It’s not ready yet, but the algorithm test denotes Facebook’s keen interest in stealing Twitter’s real-time social media crown.
  • It revealed it would start publicizing News Feed algorithm changes in blog posts, as well as two changes that have already been rolled out: “Story Bumping,” which bumps stories you haven’t seen yet to the top of the feed, and “Last Actor,” which shows you more feed stories about the people you’ve recently interacted with or viewed the profile of.
  • If you want up-to-the-second information about what’s transpiring in a sports event or breaking news story, Twitter wins. Y
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  • Twitter works best when you’re glued to it in the moment, whereas Facebook excels at giving you the most interesting retrospective of what happened while you were gone.
  • Facebook came up with the idea for Chronological By Actor — a way to create a hybrid feed that integrates both relevance and real-time sorting.
  • The only problem is that Facebook said its tests of Chronological By Actor actually reduced Likes, comments, and other signals it uses to gauge News Feed success. That’s why the algorithm change hasn’t been rolled out like Story Bumping and Last Actor.
Carri Bugbee

Nascar, Twitter Turn Hashtags Into Pit Stops | Adweek - 0 views

  • Up until now when users click on a hashtag, they are shown a page littered with tweets which have included that particular hashtag. But in Nascar’s case, Twitter will curate those tweets through an algorithm, and by hand to give users a behind-the-scenes look at the race.
  • consumers who click on the #Nascar hashtag will be directed to a not-yet-live Twitter page that will aggregate tweets and photos related to the race to create what Nascar svp and CMO Steve Phelps called in a statement a “complementary live race experience.”
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    Twitter is converting the hashtag into a content destination in its own right through a unique partnership with Nascar announced Friday.
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