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Carri Bugbee

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

www.theatlantic.com/...361538

algorithm Canvs television social tv socialTV

shared by Carri Bugbee on 04 May 14 - No Cached
  • 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."
  • ...4 more annotations...
  • 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

Social TV tool Canvs scores content for social emotional reactions | Marketing Dive - 0 views

www.marketingdive.com/...418171

shared by Carri Bugbee on 28 Apr 16 - No Cached
  • Carri Bugbee on 28 Apr 16
     
    "Canvs is offering more than just typical social measurement such as like, follower and sentiment metrics. As its Turner partnership indicates, its partners get a constant feedback loop on how social media is reacting to content that can then inform new content creation designed specifically to get social engagement."
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