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Twitter: a content analysis of personal information

机译:Twitter:对个人信息的内容分析

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Social media provide many opportunities to connect people, but the kinds of personally identifiable information that people share through social media is understudied. This paper presents findings from a content analysis in which we coded the amount and kinds of personally identifiable information of public Twitter messages. Overwhelmingly, public Twitter messages do not include identifiable information such as phone numbers, email, and home addresses. Using Goffman's [(1963). Behaviors in public places: Notes on the social organization of gatherings. New York, NY: Free Press] concepts of public order and civil inattention, we also coded for whether people articulate the kinds of information that are communicated with others in public space, including locational, temporal, and activity-related information. Our findings suggest that people do share similar kinds of personal information on Twitter that they do in others kinds of physical public spaces, suggesting that people may also be mapping old practices for public social interaction onto networked publics.
机译:社交媒体提供了许多与人联系的机会,但是人们对通过社交媒体共享的个人可识别信息的种类仍未深入研究。本文介绍了内容分析中的发现,我们在其中对公共Twitter消息的数量和种类进行了个人识别。绝大多数情况下,公共Twitter消息不包含可识别的信息,例如电话号码,电子邮件和家庭住址。使用高夫曼([1963)。在公共场所的行为:关于聚会的社会组织的注释。纽约,纽约:自由出版社]的公共秩序和公民不注意的概念,我们还对人们是否表达了在公共空间中与他人交流的各种信息进行编码,包括与位置,时间和活动相关的信息。我们的发现表明,人们确实在Twitter上分享了他们在其他类型的有形公共场所中分享的类似类型的个人信息,这表明人们还可能在将公共社交互动的旧做法映射到网络公众上。

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