Night owls send more negative tweets than early birds

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Photo by Brett Jordan on Unsplash
Photo by Brett Jordan on Unsplash

Positive and negative emotions shared in tweets follow daily and weekly patterns, according to European researchers who looked at around 7 million tweets where the author mentioned themselves, and around 18 million tweets about other topics. Negative emotions were least mentioned at around 8am, and increased steadily during the day until midnight. When using emojis in their tweets, people were most likely to use them to portray negative emotions during the middle of the week, and least likely on a Sunday. The authors say that understanding these patterns could help design socio-technical systems to support the emotional wellbeing of individuals through social media platforms.

Media release

From: The Royal Society

Angry birds - Twitter, Time and Emotions

Tweets can provide rich information about people's social, cognitive, and biological processes as well as personal concerns (e.g. work). This is the first study to statistically examine linear and non-linear circadian (24-hour) and circaseptan (7-day) patterns of emotions. This was done in more than 7 million self-referring tweets (personal pronoun + present tense verb: I am and its variations) and close to 18 million Other topic content-coded tweets collected in the most populated counties in the United States. We found that social, cognitive, and biological processes as well as personal concerns expressed in tweets varied through the day and the week and that such variations were associated with positive and negative emotions. We also observed that associations with positive and negative emotions largely varied throughout the day, and less extensively throughout the week. Understanding temporal patterns of associations with positive and negative emotions in tweets should contribute to the design of socio-technical systems aimed at supporting the emotional wellbeing of individuals through social media platforms. This will also foster the network of individuals who feel isolated.

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Royal Society Open Science
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Organisation/s: University of Neuchatel, Switzerland, Norwegian University of Science and Technology, Norway
Funder: The author(s) received no specific funding for this work.
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