Feeling alone among 317 million others: Disclosures of loneliness on Twitter
Feeling alone among 317 million others: Disclosures of loneliness on Twitter
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DOI：
10.1016/j.chb.2019.03.024
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发表时间：
2019-09-01
影响因子：
9.9
通讯作者：
Lawson, Shaun
中科院分区：
文献类型：
--
作者：
Mahoney, Jamie;Le Moignan, Effie;Lawson, Shaun
Increasing numbers of individuals describe themselves as feeling lonely, regardless of age, gender or geographic location. This article investigates how social media users self-disclose feelings of loneliness, and how they seek and provide support to each other. Motivated by related studies in this area, a dataset of 22,477 Twitter posts sent over a one-week period was analyzed using both qualitative and quantitative methods. Through a thematic analysis, we demonstrate that self-disclosure of perceived loneliness takes a variety of forms, from simple statements of "I'm lonely", through to detailed self-reflections of the underlying causes of loneliness. The analysis also reveals forms of online support provided to those who are feeling lonely. Further, we conducted a quantitative linguistic content analysis of the dataset which revealed patterns in the data, including that 'lonely' tweets were significantly more negative than those in a control sample, with levels of negativity fluctuating throughout the week and posts sent at night being more negative than those sent in the daytime.
