戴着许多（社交）帽子：你的不同社交网络人物有多不同？
Wearing Many (Social) Hats: How Different are Your Different Social Network Personae?
摘要：
本文研究了用户在不同的社交网络中创建个人资料时，它们是否是同一人物的冗余表达，或者它们是适应每个平台的。使用About.me上116，998名用户的个人网页，我们在几个主要的社交网络（包括Facebook、Twitter、LinkedIn和Instagram）上识别并提取匹配的用户简档。我们发现的证据，不同的网站特定的规范，如在文本中使用的语言的个人资料自我描述的差异，以及作为个人资料图像的图片。通过学习一个模型，该模型鲁棒地识别给定用户的个人资料图像（0.657- 0.829 AUC）或自我描述（0.608- 0.847 AUC）的平台，我们确认用户确实以可识别和可学习的方式将其行为适应于各个平台。然而，不同性别和年龄组的人对自己行为的适应方式各不相同，而且这些差异在不同的平台上通常是一致的。我们发现，在社会配置文件建设的差异对应的平台是正式或非正式的差异。
英文摘要：
This paper investigates when users create profiles in different social networks, whether they are redundant expressions of the same persona, or they are adapted to each platform. Using the personal webpages of 116,998 users on About.me, we identify and extract matched user profiles on several major social networks including Facebook, Twitter, LinkedIn, and Instagram. We find evidence for distinct site-specific norms, such as differences in the language used in the text of the profile self-description, and the kind of picture used as profile image. By learning a model that robustly identifies the platform given a user's profile image (0.657--0.829 AUC) or self-description (0.608--0.847 AUC), we confirm that users do adapt their behaviour to individual platforms in an identifiable and learnable manner. However, different genders and age groups adapt their behaviour differently from each other, and these differences are, in general, consistent across different platforms. We show that differences in social profile construction correspond to differences in how formal or informal the platform is.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
