Ich habe erwartet, dass die Beiträge mit den meisten Upvotes jeden Monats allgemein geliked werden (d. h. 95 %+ Upvotes). Aber die meisten haben tatsächlich eine Upvote-Rate von 80–90 %.
| Upvote-Verhältnis | Am meisten positiv bewertet | Am häufigsten kommentiert |
|---|---|---|
| ≥95 % | 9 | 2 |
| 90–95 % | 27 | 21 |
| 80–90 % | 30 | 36 |
| 70–80 % | 3 | 10 |
| <70 % | 3 | 3 |
Liste dieser Beiträge: data.tablepage.ai/d/r-dataisbeautiful-monthly-top-posts-2020-2026
Von aspiringtroublemaker
3 Kommentare
Data Source: Artic Shift (https://arctic-shift.photon-reddit.com/)
Built using pandas, matplotlib
This is interesting. I’m not surprised though, I suspect the bias towards contentious subjects is due to increased engagement which gets amplified by the algorithm. Similarly, posts where people unanimously don’t like them or are dull are more likely to get ignored or gain less traction.
Does the dataset only include posts deemed “top” in the sub? Would be interesting to know what the cutoff for that is
Most commented one for others interested: https://reddit.com/r/dataisbeautiful/comments/11193dh/oc_what_foreign_ways_of_doing_things_would/