The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 5 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Disclosure
Bloomberg can automatically generate news articles without humans in two minutes
“And this kind of article we can now automatically generate. So you can get this with no human intervention within two minutes, and then within five minutes a human journalist can come along in art color.”
Amanda Stent Mar 2, 2018 ▶ 8:29 Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
Disclosure
Bloomberg filters social media manipulation using account metadata and supply chain data
“We do a lot of historical monitoring, so we can know how old a social media account is. We also have a very, very large collection of pieces of information about entities in the world, so we can know how closely associated a particular handle is. With a decisi…”
Amanda Stent Mar 2, 2018 ▶ 16:15 Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
Disclosure
Stent: Bloomberg shifted data labeling to deep learning and decision trees
“And that's something that historically has been done mostly with rule-based systems, but today we do it with deep learning and a lot of decision trees.”
Amanda Stent Mar 2, 2018 ▶ 13:49 Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
Disclosure
Stent: Bloomberg Terminal contains between 15,000 and 40,000 functions
“There are, nobody has told me the actual number. I've heard numbers from between 15 and 40,000 individual functions inside the Bloomberg. Each of them is fed by at least one data feed, and in many cases, several.”
Amanda Stent Mar 2, 2018 ▶ 14:12 Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
Disclosure
Stent: Bloomberg NLP aims to inform trading decisions, not track sentiment
“At Bloomberg, we're not trying to identify net promoter score. We're trying to really understand what's going on so that someone else can decide whether they should buy or sell this company.”
Amanda Stent Mar 2, 2018 ▶ 5:31 Text Analytics for Finance // Amanda Stent, Bloomberg (FirstMark's Data Driven)
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