A frequent question that emerges in relation to my research about TikTok is about the ways in which TikTok's algorithms recommends videos to users. Originally created in China, the platform is currently co-run and co-owned between Chinese and American companies. After a fraught political conflict led by Donald Trump’s threats to ban the app in the United States in 2020, TikTok’s Chinese parent company ByteDance eventually sold part of its platform’s ownership to Oracle and Walmart and signed licensing deals with both Sony Music and Universal Music Group. Within the scope of this acquisition, TikTok rewrote a large part of its guidelines with the aim of seeming more transparent. This also includes a new section of "How TikTok Recommends Videos For You," which notably describes the algorithm's process of suggesting new content to users who are already established in a clear bubble of their own interests. Guidelines note:
"Diversity is essential to maintaining a thriving global community, and it brings the many corners of TikTok closer together. To that end, sometimes you may come across a video in your feed that doesn't appear to be relevant to your expressed interests or have amassed a huge number of likes. This is an important and intentional component of our approach to recommendation: bringing a diversity of videos into your For You feed gives you additional opportunities to stumble upon new content categories, discover new creators, and experience new perspectives and ideas as you scroll through your feed.
Read more below:
https://newsroom.tiktok.com/en-us/how-tiktok-recommends-videos-for-you
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.