What AI learns when we erase women from music | Gabriella Di Laccio | TEDxLondon
Published March 18, 2026
At a glance
Views
78,208
Likes
2,188
Comments
50
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
One day, soprano, Gabriella Di Laccio, walked through a second hand book market and found two large encyclopaedias listing thousands of women composers throughout history. She was shocked - she had spent years studying music and never heard of these women composers. This was the beginning of Gabriella’s journey to find…
- Published
- March 18, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How What AI learns when we erase women from music | Gabriella Di Laccio | TEDxLondon is doing
It has 78.2K views in total. It ranks #11,964,400 among tracked YouTube videos by views.
Key facts about What AI learns when we erase women from music | Gabriella Di Laccio | TEDxLondon
- Total views
- 78.2K
- Total likes
- 2.18K
- Total comments
- 50
- Published
- March 18, 2026
- Global rank by views
- #11,964,400
Frequently asked questions
How many views does What AI learns when we erase women from music | Gabriella Di Laccio | TEDxLondon have?
What AI learns when we erase women from music | Gabriella Di Laccio | TEDxLondon has 78,208 views, 2,188 likes and 50 comments, ranking #11,964,400 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
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