It turns out Twitter might serve as the modern day mood ring. A group of researchers from Ithaca analyzed 509 million tweets across 84 countries over the course of two years to figure out the change of moods around the globe. (And you thought twitter was just for celebrity gossip?)
What twitter tells us
“Some clear mood patterns and trends emerged. For starters, tweets tend to be more positive on the weekends than during the weekday. And whether you wake in the U.S, the United Arab Emirates, or anywhere else, moods tend to be better early in the morning, as evidenced by their optimistic tweets,” WebMd reported.
“But our moods tend to grow more negative as the day goes on. Another good mood peak occurs around midnight. Taken together, this suggests that work-related stress may be putting a damper on our moods and attitudes.”
Of course a whole host of things can impact a person’s mood, from the stress caused at work to the pleasure of walking through a park barefoot, it all plays a role.
How researchers analyzed millions of tweets
No, one person didn’t pull a series of all-nighters combing through tweets. A team of people used search words like awesome, paradise, and definitely to look for happy tweeters and words like fear, panic and remorse to scope out the nay-sayers of the world.
Social media revolution
Twitter and Facebook aren’t just for tweens, more and more older adults are logging on to social media sites too. Experts that once predicted this was just a growing fad are eating their words as the popular websites continue to grow at a rapid pace.
Crazy social media facts:
*By 2010 Gen Y will outnumber Baby Boomers and 96% of them have joined a social network
*Researchers are using social media to recruit candidates for studies
*Social Media has overtaken porn as the #1 activity on the Web
*1 out of 8 couples married in the U.S. last year met via social media
*If Facebook were a country it would be the world’s 4th largest between the United States and Indonesia
*The fastest growing segment on Facebook is 55-65 year-old females
*Info provided by Socialnomics
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