Research claims that the X recommendation algorithm amplifies content that users dislike
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Research suggests that X's recommendation algorithm may continuously push content that users dislike due to argumentative interactions among users, to which Musk responded that the algorithm still needs significant improvements.
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一项发表于《美国国家科学院院刊》的研究显示,X 平台的“For You”推荐流,可能会把与用户自述价值观不一致的内容推到更前面。研究覆盖 715 名美国活跃用户,结果显示,这种偏离在民主党用户中更明显。

研究跟踪 715 名用户

研究团队来自 MIT、密歇根大学、约翰斯·霍普金斯大学、斯坦福大学和耶鲁大学。研究对象在 2024 年 9 月和 10 月安装浏览器扩展,用于收集其“For You”和“Following”两个信息流中的帖子。

研究人员将推荐内容与用户自述价值观进行对照。结果显示,X 放大的内容整体与用户价值观存在负相关,而用户主动关注账号发布的内容,通常更接近其自身立场。

民主党用户偏离更明显

按研究给出的数据,民主党用户所接收到的放大内容,与其自述价值观的相关系数为 -0.229;共和党用户为 -0.041。数值越负,代表内容与用户立场越不一致。

  • 民主党用户:-0.229
  • 共和党用户:-0.041
  • 全体放大内容:-0.150

研究团队随后做了一次复现测试,结果仍显示类似分化:民主党用户为 -0.199,共和党用户则为 0.0372。

回复互动可能强化推送

研究认为,差异的一部分可能来自回复行为。用户如果经常去反驳与自己立场相左的帖子,算法可能会把这种互动识别为兴趣信号,进而推送更多类似内容。

不过,这项研究没有进一步区分,引发这类“价值观错配”回复的帖子,背后究竟来自真人账号还是自动化账号,因此机器人在其中扮演的角色仍不清楚。

补充信息:马斯克在研究发布后回应称,X 的算法“很笨”,仍需要大幅改进,但他同时表示,外界可以实时看到平台如何尝试改进这一系统。

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