Gilad Lotan
SVP of AI and Data Science, BuzzFeed · 1 appearance on the record.
computed by AI from the episodes · how this works → · full disclaimer →
scientistexecutiveacademic@gilgul ↗LinkedIn ↗giladlotan.com ↗
Gilad Lotan leads BuzzFeed's centralized data science and AI teams, deploying machine learning, embeddings, and analytics across content, audience personalization, and advertising. He previously worked at Microsoft's FUSE Labs and SocialFlow, and is recognized for his research into social network information flows, online propaganda, and bot networks.
1 supported 1 partly supported 0 contradicted 3 not checkable as stated how the 5 claims stand · each chip opens the sources
5 assertions · 2 insights · 2 disclosures · every statement was checked. The predictions and assertions are the 5 claims: statements the public record can support or contradict. 2 are resolved, and 3 name 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 Gilad argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Expressed certainty vs assessment result
weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet
How they sound: speaking style how? →
239 words/min while actually speaking · 59.4 um and uh per 1k words
No argument clarity score for Gilad Lotan: no usable question→answer exchanges 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: 3,352 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 Gilad Lotan said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
The other half of the tape: Gilad Lotan's own voice is left out of every number here. Other people bring the name up 1 time in 1 episode on the MAD Podcast. every mention, with the transcript →
Who brings them up most Adam Laiacano 1
Every mention by year
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| Gilad Lotan, Betaworks // Data Driven NYC 20 // Nov 2013 | Dec 5, 2013 | 17m |