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The state of being alone can have a substantial impact on our lives, thoughexperiences with time alone diverge significantly among individuals.Psychologists distinguish between the concept of solitude, a positive state ofvoluntary aloneness, and the concept of loneliness, a negative state ofdissatisfaction with the quality of one's social interactions. Here, for thefirst time, we conduct a large-scale computational analysis to explore how theterms associated with the state of being alone are used in online language. Wepresent SOLO (State of Being Alone), a corpus of over 4 million tweetscollected with query terms 'solitude', 'lonely', and 'loneliness'. We use SOLOto analyze the language and emotions associated with the state of being alone.We show that the term 'solitude' tends to co-occur with more positive,high-dominance words (e.g., enjoy, bliss) while the terms 'lonely' and'loneliness' frequently co-occur with negative, low-dominance words (e.g.,scared, depressed), which confirms the conceptual distinctions made inpsychology. We also show that women are more likely to report on negativefeelings of being lonely as compared to men, and there are more teenagers amongthe tweeters that use the word 'lonely' than among the tweeters that use theword 'solitude'.

SOLO: A Corpus of Tweets for Examining the State of Being Alone