Feeling Alone Among 317 Million Others: Twitter is used to both seek and provide support regarding loneliness; weekend and night-time disclosures are associated with the angriest language

Feeling Alone Among 317 Million Others: Disclosures of Loneliness on Twitter. JamieMahoney et al. Computers in Human Behavior, MAr 24 2019.
https://doi.org/10.1016/j.chb.2019.03.024

Highlights
•    Twitter is used to both seek and provide support regarding loneliness.
•    Language in these disclosures differ when related to the day and time of disclosure.
•    Weekend and night-time disclosures are associated with the angriest language.
•    A range of disclosures suggest that user behaviour may develop over time.

Abstract: 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.