TikTok's algorithms often recommend content based on engagement rather than considering potential harm, leading to alarming exposure of teenagers to violence and misogyny.
Andrew Kaung found that teenage boys were disproportionately targeted with violent and misogynistic content, contrasting with the recommendations made for teenage girls based on interests.
Despite AI tools working on content moderation, those that don't hit a view threshold for reporting may expose users to harmful videos for longer periods.
The safety analyst expressed concern that the threshold for manual reviews allowed harmful content to reach young audiences unchecked, raising questions about platform responsibility.
#social-media-responsibility #content-moderation #teen-safety #tiktok-algorithms #harmful-content-exposure
Collection
[
|
...
]