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Understanding Loneliness in Social Awareness Streams: Expressions and Responses

机译:了解社会意识流中的孤独:表达和答复

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We studied the experience of loneliness as communicated by thousands of people on Twitter. Using a data set of public Twitter posts containing explicit expressions of loneliness, we qualitatively developed a categorization scheme for these expressions, showing how the context of loneliness expressed on Twitter relates to existing theories about loneliness. A quantitative analysis of the data exposed categories and patterns in communication practices around loneliness. For example, users expressing more severe, enduring loneliness are more likely to be female, and less likely to include requests for social interaction in their tweets. Further, we studied the responses to expressions of loneliness in Twitter's social settings. Deriving from the same dataset, we examined factors that correlate with the existence and type of response, showing, for example, that men were more likely to receive responses to lonely tweets, and expressions of enduring loneliness are critically less likely to receive responses.
机译:我们研究了数千人在Twitter上传达的孤独的经验。使用包含明确表达孤独表达的公共推特帖子的数据集,我们为这些表达式开发了一个分类方案,展示了Twitter上表达的孤独环境的背景涉及关于孤独的现有理论。孤独周围沟通实践中数据暴露类别和模式的定量分析。例如,表达更严重,持久孤独的用户更可能是女性,并且不太可能在其推文中包括社会互动的要求。此外,我们研究了Twitter社交环境中孤独表达的反应。我们从相同的数据集中获取,我们检查了与存在的存在和响应类型的因素,例如,显示男性更有可能接受对孤独推文的反应,并且持久孤独的表达均不太可能接受反应。

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