Haile Wusu

SVP, Applied Data Science, Warner Bros. Discovery · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

executivescientistengineer@hailekofi ↗wbd.com ↗

Holding a Ph.D. in theoretical physics from Rutgers University, Dr. Haile Owusu developed Mashable's proprietary Velocity technology suite to model and predict content virality. After leading research at SocialFlow and Mashable, he went on to direct enterprise machine learning and data science strategy across Turner, WarnerMedia, and Warner Bros. Discovery.

3statements → 1claims → 0claims resolved → 4/5average certainty → 1/5average debate potential →

1 not checkable as stated how the 1 claim stands · each chip opens the sources

1 assertion · 2 disclosures · every statement was checked. The predictions and assertion are the 1 claim: statements the public record can support or contradict. 0 are resolved, and 1 names no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Haile argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

How they sound: speaking style how? →

226 words/min while actually speaking · 82.4 um and uh per 1k words

No argument clarity score for Haile Wusu: only 1 usable question→answer exchange on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 3,532 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Haile Wusu said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Not checkable as stated
Mashable crawls about a million pieces of content daily
“So we crawl a, on the order of about a million pieces of content daily.”
Haile Wusu Nov 23, 2015 ▶ 12:25 Forecasting Content with Mashable's Chief Data Scientist
Disclosure
Mashable models graph growth across tens of thousands of URLs daily
“And then do this replicated over tens of thousands of URLs daily so that we can get an aggregation of which are the better performers.”
Haile Wusu Nov 23, 2015 ▶ 14:00 Forecasting Content with Mashable's Chief Data Scientist
Disclosure
Mashable plans to expand content modeling using Knowledge Graph data
“We are looking to expand our ability to model this complicated problem out using information from something we call Knowledge Graph, where we collect very, very granular information about sharing behavior on just our content.”
Haile Wusu Nov 23, 2015 ▶ 17:27 Forecasting Content with Mashable's Chief Data Scientist

Appearances (1)

EpisodeDateSpeaking time
Forecasting Content with Mashable's Chief Data Scientist Nov 23, 2015 20m
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.