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A dashboard for controlling polarization in personalization

机译：用于控制个性化极化的仪表板

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摘要

Personalization is pervasive in the online space as it leads to higher efficiency for the user and higher revenue for the platform by individualizing the most relevant content for each user. However, recent studies suggest that such personalization can learn and propagate systemic biases and polarize opinions; this has led to calls for regulatory mechanisms and algorithms that are constrained to combat bias and the resulting echo-chamber effect. We present our balanced news feed via a demo that displays a dashboard through which users can view the political leaning of their news consumption and set their polarization constraints. The balanced feed, as generated by the user-defined constraints, is then showcased side-by-side with the unconstrained (polarized) feed for comparison.
机译：个性化在线空间是普遍存在的，因为它通过个性化每个用户的最相关内容来导致用户的更高效率和对平台的更高收入。然而，最近的研究表明，这种个性化可以学习和传播系统性偏见和偏振意见;这导致呼吁被限制为打击偏压和所产生的回声室效应的监管机制和算法。我们通过演示展示我们的平衡新闻源，该演示显示仪表板，用户可以通过该仪表板来观看他们的新闻消费的政治倾向，并设置他们的极化约束。然后，由用户定义的约束产生的平衡馈送，然后用无约束（偏振）进料并排展示以进行比较。

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