赋予用户更大系统控制权如何影响新闻过滤气泡？
How Does Empowering Users with Greater System Control Affect News Filter Bubbles?
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- LinkedIn Corporation（领英公司）
- Tulane University（杜兰大学）
- Illinois Institute of Technology（伊利诺伊理工学院）
机构由 AI 辅助整理，请以论文原文为准。
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中文总结 AI 辅助
研究探讨赋予用户更大系统控制权对新闻过滤气泡的影响，设计增强界面的政治新闻推荐系统，通过用户研究发现该系统虽提高了用户对过滤气泡的认知，但对新闻消费的影响因用户偏好呈现异质性。
中文摘要 AI 辅助
虽然推荐系统能帮用户找到感兴趣的文章，但也会通过展示强化用户既有信念的内容来制造“过滤气泡”。用户常意识不到身处其中，即便意识到也缺乏直接控制权。为解决这些问题，我们设计了一个政治新闻推荐系统，其界面能展示系统从用户行为推断出的政治和主题兴趣，便于用户调整以接收特定主题或政治立场的更多文章。接着进行用户研究，将该系统与传统界面比较，发现透明方法助用户意识到处于过滤气泡中。增强系统使多数用户接收的新闻不那么极端，但也让部分用户使系统走向更极端。许多用户将系统从极端自由/保守调至中间，但这是以减少展示文章的政治多样性为代价。这些发现表明，虽所提系统提高了对过滤气泡的认知，但对新闻消费的影响因用户偏好而异。
英文摘要
While recommendation systems enable users to find articles of interest, they can also create ``filter bubbles'' by presenting content that reinforces users' pre-existing beliefs. Users are often unaware that the system placed them in a filter bubble and, even when aware, they often lack direct control over it. To address these issues, we first design a political news recommendation system augmented with an enhanced interface that exposes the political and topical interests the system inferred from user behavior. This allows the user to adjust the recommendation system to receive more articles on a particular topic or presenting a particular political stance. We then conduct a user study to compare our system to a traditional interface and found that the transparent approach helped users realize that they were in a filter bubble. Additionally, the enhanced system led to less extreme news for most users but also allowed others to move the system to more extremes. Similarly, while many users moved the system from extreme liberal/conservative to the center, this came at the expense of reducing political diversity of the articles shown. These findings suggest that, while the proposed system increased awareness of the filter bubbles, it had heterogeneous effects on news consumption depending on user preferences.
