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What 40,000 Videos Tell Us About The Trending Tab

Coffee Break analyzes about 40,000 videos from seven months of YouTube's trending tab. It examines whether trending is biased toward mainstream media and late-night shows.

Why HN readers recommended it

Cited in threads on YouTube algorithms and creator complaints as a data-driven look at the trending tab.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Coffee Break
Topic
youtube trending algorithm
Format
commentary
Level
general
HN recommenders in dataset
3
HN mentions in dataset
5
Recommendation years in dataset
2019–2020

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Here's an excellent video breaking down with extremely compelling data how the "trending" tab is very heavily manipulated in favor of mainstream media sources: [VIDEO] What's interesting is that extreme bias in the US is not seen in Canada. Though I'm not sure it's stated …

    khawkins on Hacker News · 2019-08
    In Watch Out Google, YouTubers Are Unionizing
  • This is a video I recall watching recently that backs up your point. Not sure if anyone has refuted this person's points but they are pretty alarming no matter what side of isle you sit. [VIDEO] (What 40,000 Videos Tell Us About The Trending Tab)

    aphextim on Hacker News · 2019-07
    In YouTube faces creator backlash
  • Another excellent analysis of what Trends on YouTube [0] "Is the trending tab rigged against creators? Is late night dominating the charts? Why does it feel your favorite controversial creator never trends. All of that and more, in the first ever data-driven look at the …

    symplee on Hacker News · 2020-07
    In Analysis of all YouTube trending videos in US for 2019

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.