Impacts of Reducing Visibility of Friends’ Liked Content on User Content Engagement Across Newsfeed Channels
研究发现，减少好友点赞内容的可见性会降低用户整体内容参与度，虽然用户更多参与好友原创和热门话题，但与算法推荐等非社交内容的互动减少，且内容多样性下降。
Nowadays, online platforms constantly adjust their newsfeeds to boost engagement, often emphasizing nonsocial channels such as algorithmic recommendations over social ones such as user networks. However, ignoring the interactions between these channels can have unintended consequences. This study delves into this by assessing the impacts of a policy change that reduced the visibility of friends’ liked content on a major discussion platform. We found this led to an overall decrease in users’ content engagement. Although users engaged more with their friends’ original posts and trending topics, their interaction with nonsocial content such as algorithmic recommendations decreased. This reveals a key insight: social channels act as substitutes for one another but are complementary to nonsocial, algorithmic channels. Vibrant social activity is crucial for driving traffic to other parts of a platform. Crucially, the change also made users’ content engagement less diverse. Friends’ liked content is a key source of exposure to niche topics. For platform operators, this means that sidelining social features in favor of algorithmic feeds can backfire, reducing overall engagement and diversity. For policymakers concerned about online echo chambers, our findings suggest that content shared through extended social networks is vital for promoting a wider range of content.