计算求爱：通过大规模数据分析了解在线约会的演变
Computational Courtship: Understanding the Evolution of Online Dating through Large-scale Data Analysis
摘要：
与十年前相比，我们对不同社会背景的人约会变得更加宽容了吗？网上约会的兴起是加剧了还是减轻了现代求爱中的性别不平等？这些平台上最有吸引力的人一定是最成功的吗？在这项工作中，我们研究了过去十年中在线约会网站eHarmony的男性和女性用户的配偶偏好和沟通模式，以确定在这段时间内态度和行为是如何变化的。虽然其他研究调查了男性和女性用户之间的用户行为差异，但这项研究在纵向方法上是独一无二的。具体来说，我们分析了男性和女性对潜在伴侣某些特征的偏好如何不同，以及这些偏好如何随着时间的推移而变化。第二条调查线调查了身体吸引力在多大程度上决定了用户收到的信息率，以及这种关系在男性和女性之间的差异。第三，我们探讨了随着时间的推移，男性和女性之间的在线约会实践是否变得更加平等，或者偏见和不平等是否保持不变（或增加）。第四，基于个人接收信息和被回复信息的经验，研究了发送信息和回复信息的行为特征。最后，我们发现，除了孩子的数量和吸烟习惯之外，个人资料之间的相似性并不能预测成功。这项工作可能对改变性别规范和社会态度产生更广泛的影响，反映在网上求爱仪式中。除了基于数据的研究之外，我们还将研究结果与有关信息通信技术在社会变革中的作用的现有理论联系起来。随着在网上寻找爱情在不同年龄段和不同地域变得越来越普遍，这些发现可能会揭示人们如何通过互联网建立关系。
英文摘要：
Have we become more tolerant of dating people of different social backgrounds compared to ten years ago? Has the rise of online dating exacerbated or alleviated gender inequalities in modern courtship? Are the most attractive people on these platforms necessarily the most successful? In this work, we examine the mate preferences and communication patterns of male and female users of the online dating site eHarmony over the past decade to identify how attitudes and behaviors have changed over this time period. While other studies have investigated disparities in user behavior between male and female users, this study is unique in its longitudinal approach. Specifically, we analyze how men and women differ in their preferences for certain traits in potential partners and how those preferences have changed over time. The second line of inquiry investigates to what extent physical attractiveness determines the rate of messages a user receives, and how this relationship varies between men and women. Thirdly, we explore whether online dating practices between males and females have become more equal over time or if biases and inequalities have remained constant (or increased). Fourthly, we study the behavioural traits in sending and replying to messages based on one's own experience of receiving messages and being replied to. Finally, we found that similarity between profiles is not a predictor for success except for the number of children and smoking habits. This work could have broader implications for shifting gender norms and social attitudes, reflected in online courtship rituals. Apart from the data-based research, we connect the results to existing theories that concern the role of ICTs in societal change. As searching for love online becomes increasingly common across generations and geographies, these findings may shed light on how people can build relationships through the Internet.
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