遇见数据集

Do LGBTQ-related Events Drive Individual Online Disclosure Decisions?

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osf.io2020-11-20 更新2025-03-22 收录
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When and how to come out are difficult choices. In this research project, we examine one form of disclosure: the addition of an LGBTQ keyword to one's online social media profile. We construct daily time series of the prevalence of LGBTQ keywords within American Twitter users' self-descriptions. Further, we construct daily time series of inferred add and drop events. These we compare to relevant annual and one-time events. We confirm or disconfirm our pre-registered hypotheses.

何时以及如何公开自我,乃是一项艰难的抉择。在本研究项目中,我们探讨了一种披露形式:即在个人在线社交媒体资料中添加 LGBTQ 关键词。我们构建了美国推特用户自我描述中 LGBTQ 关键词频度的每日时间序列。此外,我们还构建了每日时间序列的推断增加和减少事件。我们将这些与相关的年度及一次性事件进行比较。我们验证或反驳了我们预先注册的假设。

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