Twitter and Mood

Twitter and Mood

Summary: Tweets were studied in order to compile information about people's moods.


In a project by the researchers from the Northeastern University College of Computer and Information Sciences and Harvard Medical School, 300 million Twitter tweets were studied in order to compile information about people's moods.

Moods were tracked throughout the day, and locations were compared. It's fascinating, so you'll probably want to read more about "Pulse of the Nation: U.S. Mood Throughout the Day Inferred from Twitter".

It's not big news that people like weekends better than weekdays. It's not even all that hard to understand why the West Coast is happier than the East Coast. I've taken a couple of business/vacation trips to California and the weather and scenery are gorgeous, the people are really cool and very nice, and the food is amazing.

However, the early morning happiness is shocking. I'm really not a morning person, so hearing that people are happiest early in the morning was a real eye opener to me. It's kind of sad that the information seems to point to people really not liking their jobs, but it isn't all that surprising.

I'd really like to see more of Twitter tweets being used to compile data about health and well-being.

How about you? What do you think of using Twitter to analyze mood? Let us know in the TalkBacks below.

Topic: Social Enterprise


Denise Amrich is a Registered Nurse, the health care advisor for the U.S. Strategic Perspective Institute, and a mentor for the Virtual Campus at Florida's Brevard Community College.

Nothing in this article is meant to be a substitute for medical advice, and shouldn't be considered as such. If you are in need of medical help, please see your doctor.

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  • RE: Twitter and Mood

    I don't think this metric should be used with any expectancy of serious accuracy. There are obviously variables that are missing here that would improve the outcome. While I can see that, I couldn't tell you what those were.
  • RE: Twitter and Mood

    The problem with the study is the population. You are essentially measuring the moods of people who use Twitter, an interesting small part of the general population who need to know trivialities about others or believe their mundane life events require global publication.

    So you now have some doubtful conclusions about mood in Twitter users, still says nothing about the rest of us ;-)
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