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A dashboard for controlling polarization in personalization

机译：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：个性化在在线空间中无处不在，因为通过个性化每个用户最相关的内容，可以为用户带来更高的效率并为平台带来更高的收入。但是，最近的研究表明，这种个性化可以学习和传播系统性偏见，并使观点两极化。这导致人们需要限制与偏见以及由此产生的回声腔效应作斗争的调节机制和算法。我们通过一个演示来展示我们平衡的新闻提要，该演示显示一个仪表板，通过该仪表板，用户可以查看其新闻消费的政治倾向并设置其极化约束。然后，将由用户定义的约束生成的平衡馈送与非约束（极化）馈送并排展示，以进行比较。

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