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Calculating dating goals: data gaming and algorithmic sociality on Blued, a Chinese gay dating app

机译：计算约会目标：Blued的数据游戏和算法社会性，中国同性恋约会应用程序

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摘要

Although studies on gay dating apps have shown the ways through which technical features intervene in sexual sociality, seldom do they shed light on the central feature that undergirds their use - algorithms. This article examines Blued, China's largest gay dating app, aiming to unfold the data structure and algorithms that navigate the use of its two prime functionalities: browsing and live streaming. Rather than seeing users as passive audiences that are subject to being measured and calculated based on algorithmically filtered information, this article argues that users can act on the data they provide to dating apps to influence and shape the algorithmic dating outcomes. For Blued browsing, gay men are datafied with numbers and tags for users to sort and filter. For Blued live, gay men are evaluated by the yanzhi algorithm, which literally means 'value of a person's face', for users to pinpoint dating goals. By gaming the data and shaping their algorithmic outcomes, an algorithmic sociality is animated through the filter browsing and the yanzhi metric. In this way, algorithms have become ritual tools for gay sociality on Blued. This article ends by opening up critiques on the justification of social biases lurking inside this algorithmic sociality.
机译：虽然关于同性恋约会应用的研究表明了技术特征干预性社会性的方法，但它们很少在底层施加其使用 - 算法的中央功能。本文审查了中国最大的同性恋约会应用程序的Blouge，旨在展开导航其两个Prime功能的数据结构和算法：浏览和直播。本文认为用户可以对他们提供的数据来影响和塑造算法约会结果的数据来将用户视为被衡量和计算的被动受众，而不是将用户视为受到算术滤波的信息。对于Blued Bransing，同性恋者将与用户进行排序和过滤的数字和标签。对于Blouge Live，同性恋者被yanzhi算法评估，这对用户来说意味着“一个人的脸部的价值”，用于查明约会目标。通过游戏数据和塑造它们的算法结果，通过滤波器浏览和yanzhi度量标准来动画算法社会性。通过这种方式，算法已成为Blued上同性恋社会性的仪式工具。本文通过开辟批评，就这种算法社会中潜伏的社会偏见的理由。

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