this post was submitted on 12 May 2024
151 points (96.3% liked)
Piracy: ꜱᴀɪʟ ᴛʜᴇ ʜɪɢʜ ꜱᴇᴀꜱ
54746 readers
227 users here now
⚓ Dedicated to the discussion of digital piracy, including ethical problems and legal advancements.
Rules • Full Version
1. Posts must be related to the discussion of digital piracy
2. Don't request invites, trade, sell, or self-promote
3. Don't request or link to specific pirated titles, including DMs
4. Don't submit low-quality posts, be entitled, or harass others
Loot, Pillage, & Plunder
📜 c/Piracy Wiki (Community Edition):
💰 Please help cover server costs.
Ko-fi | Liberapay |
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
The algorithm issue is why I allways curate my youtube watch history, if I don't, my recommendations would quickly be messed up after watching videos outside of my normal interests.
Ever thought about firing the algorithm and only watching updates from your subs?
50 people uploading weekly at ~10 minutes per video is 8 hours' watch time per week. Compare with your actual time spent watching YT...
I don't think recommendations being messed up by the algorithm is the real issue with YouTube (or any big tech social media platform). It's the fact that the algorithm is so good at predicting what you want to watch before you even think about watching it, that you slowly become pushed into an echo-chamber where your entire online space is inhabited only by people who agree with you, issues that you think are relevant, etc. It's the entire concept of algorithm-based recommendations that is messed up and it's damaging society.
Oh most deffinately, I tend to match non political stuff, but I have no idea if/how I am being affected.
The main issue with the algorithm is that it values engagement over everythibg else, so it will allway bring more extreme view points as they have more engagibg videos.
Yes, exactly. Negative emotions have been shown to drive more engagement in users, so the algorithms are designed to highlight conflict and increasingly extreme viewpoints. For younger viewers, the algorithm favours addictive content to ensure they stay glued to the screen.