Researchers have begun to track emotions on Twitter in real time, exploring how the mood around the world shifts based on events, locations and gender.
As BRW. reports, CSIRO’s Digital Productivity and Services Flagship are working with The Black Dog Institute to map how Twitter’s emotions shift over time.
Together, using data from Amazon Web Services’ Big Data Kinesis, they’ve built the We Feel web application. By visiting the site, anyone can get a snapshot of various emotions at any time in the past few weeks.
Emotions like surprise, joy, sadness and fear are tracked by the app. Tweets are combined into an aggregate sentiment analysis, and the app allows for a granular view of how prevalent each emotion is in various geographical areas around the world.
Other studies have explored emotions on Twitter in the past. A simple barometer of emotion was put together a few years ago, looking at how frequently we used hashtags like #love and #fear on Twitter. Another study examined how quickly emotions spread on Twitter, and discovered that angry tweets spread the fastest. Other studies – like this one about the emotions of Superbowl fans – take a look at emotions on a smaller scale. And Twitter itself revealed some insights into emotions using its own data.
(Emotions image via Shutterstock)
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