Happy Tweets: How Positivity on Twitter Varies by Location, Gender, and Topic
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0by Ayaz Nanji | February 24, 2015 | 432 views
Do people in some places send more positive tweetscompared with people in other places? Are men or womenmore likely to tweet about being happy? What topics arepeople most likely to send cheerful tweets about?
Brandwatch recently set out to answer those questions byexamining hundreds of thousands of tweets sent betweenNovember 2013 and November 2014. The researchersused the Brandwatch analytics platform to look for tweetscontaining certain emotional phrases, such as "good day,"
"bad day," "love life," and "hate life." The results were then broken down by location, gender, andkeywords that might indicate topic (such as "family," "work," "money," etc).
Below, key findings from the report.
Location
Georgia residents have the highest ratio of "good day" to "bad day" mentions of any US state (i.e.,they use the phrase "good day" in tweets much more often compared with "bad day"); Delaware hasthe lowest ratio.
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Denver has the highest "good day" to "bad day" ratio of the 30 cities in the United States with thebiggest populations; Louisville has the lowest.
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Gender
Men have a higher ratio of "good day" to "bad day" tweets than women do.
Men and women do not differ in how often they use the phrases "love life" and "hate life" in theirtweets.
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Tweets mentioning "good day" are much more likely to be about family/friends and money thanabout work. Mentions of family/friends also often accompany tweets that include the phrase "lovelife."
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About the research: The report was based on data from an analysis of hundreds of thousands oftweets sent between November 2013 and November 2014.
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Ayaz Nanji is an independent digital strategist and the co-founder of InboundContentWorks, a marketing agency that specializes in content creation forbusinesses and brands. He is also a research writer for MarketingProfs. Hispast experience includes working for Google/YouTube, the Travel Channel,AOL, and the New York Times.
LinkedIn: Ayaz Nanji
Twitter: @ayaznanji
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