Researchers at the University of Bristol in the U.K. have analyzed mood indicators in the text from 800 million anonymous messages posted on Twitter, and found the tweets reflect strong patterns of positive and negative moods over a 24-hour day.
The researchers examined the use of words relating to positive and negative emotions on Twitter over the course of four years. Although previous studies showed a circadian variation for positive and negative emotions, the new Bristol study also was able to differentiate specific aspects of anger, sadness, and fatigue.
The researchers found distinct patterns of positive emotions and sadness between the weekends and weekdays, as well as evidence of variation of these patterns across the seasons.
"The patterns that our research revealed for the positive emotions and sadness showed more variability in response to these changing conditions, and higher levels of interaction with the onset of sunlight exposure," says the University of Bristol's Fabon Dzogang.
From University of Bristol News
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