“So what Gnip fundamentally does is we take data from lots of different social sources, I think there's something like over a hundred feeds of different social sources. We bring that data in, we normalize it so that you consume it as if it were one stream, not a hundred streams.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Chris Moody
Disclosure
Moody: Gnip serves 90% of Fortune 500 companies
“When I say we serve 90% of the Fortune 500, I've gotten a few questions like, oh, really, because there's some super boring companies in the Fortune 500. Like, are they really using social data? And the answer is they are”
Chris MoodyDec 5, 2013▶ 12:57Chris Moody, Gnip // Data Driven NYC #3 // Feb 2012
AssertionSupported
Moody: The U.S. government uses social media data for intelligence gathering
“The U.S. Government is a huge consumer of social data and in some use cases that your head probably would immediately go to or around, you know, intelligence and so forth.”
Chris MoodyDec 5, 2013▶ 16:43Chris Moody, Gnip // Data Driven NYC #3 // Feb 2012
AssertionNot checkable as stated
Chris Moody: Twitter is the fastest breaking news source outside Bloomberg
“Twitter has become kind of the quickest way to find out about, ah, breaking news outside of Bloomberg.”
Chris MoodyDec 5, 2013▶ 7:20Chris Moody, Gnip // Data Driven NYC #3 // Feb 2012
Opinion
Moody: Twitter is ideal for PR crisis management due to reaction speed
“Something like Twitter is great for that, right? Because, again, it's super quick reaction time, and I don't need to know a lot of details.”
Chris MoodyDec 5, 2013▶ 8:51Chris Moody, Gnip // Data Driven NYC #3 // Feb 2012
Insight
Moody: Blog comments offer a distinct sentiment profile from primary content
“Comments represent the world's reaction to a point of view, so you get a very different sentiment around that data.”
Chris MoodyDec 5, 2013▶ 11:30Chris Moody, Gnip // Data Driven NYC #3 // Feb 2012
Insight
Moody: Social data curves repeat consistent patterns for expected vs unexpected events
“And the thing about this and why this is important is because these curves appear over and over again. Doesn't matter what the type of event is. We're seeing some general characteristics around expected versus unexpected.”
Chris MoodyDec 5, 2013▶ 12:20Chris Moody, Gnip // Data Driven NYC #3 // Feb 2012
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