People do these same sock puppet studies on Twitter/YouTube/etc. and find biases there as well. There's a lot of literature out there. Here's a recent study o

People do these same sock puppet studies on Twitter/YouTube/etc. and find biases there as well. There's a lot of literature out there. Here's a recent study on YouTube from the same author as this TikTok study finding left-leaning bias in US recommendations: https://academic.oup.com/pnasnexus/article/2/8/pgad264/7242446 https://academic.oup.com/pnasnexus/article/2/8/pgad264/72424.... Here's a somewhat older study from Twitter itself where they determined that their recommendations were biased toward right-leaning accounts: https://cdn.cms-twdigitalassets.com/content/dam/blog-twitter/official/en_us/company/2021/rml/Algorithmic-Amplification-of-Politics-on-Twitter.pdf https://cdn.cms-twdigitalassets.com/content/dam/blog-twitter.... IMO the interesting question is not whether an individual platform is biased and what its biases are, but rather how we might regulate recommendations given that there is always a risk of bias.