3 Words Mislead Online Regional Mood Analysis
This is scientific. Americans sixty seconds science. I'm Karen Hopkins. You can tell a lot about people's general state of mind based on their social media feeds. Are they always tweeting about their biggest peeves or posting pics of particularly cute kitties? Well in a similar fashion, researchers are turning to twitter for clues about the overall happiness of entire geographic communities. What they're finding is that regional variation in the use of common phrases produces predictions that always reflect the local state of well-being. But removing from their analyses, just three specific terms, good love and L. O. L. Greatly improves the accuracy of the methods. We living in a crazy Kobe nineteen era, and now more than ever will be using social media to adapt to a new normal land. Reach out to the friends and family that become meet face to face. Tokyo Judaica studies computational linguistics at the National University of Singapore but a woods aren't. Just to understand more, we as individuals stinking feed, they are also useful clues about the community we live in one of the simpler methods that many scientists used to parse the data involves correlating words with positive or negative emotions, but when those tallies are compared with phone surveys that assess regional wellbeing. Jessica says they don't paint an accurate picture of the local Zeitgeist to find out why jet got her colleague Yohannes Istat of Stanford University analyzed. tweets from around the United States, and they found that among the most frequently used terms on twitter are ll love and good, and the actually throw the analysis of in fact when we moved the three words alone be managed to improve upon the simple word, counting methods and obtain better, if not perfect estimates of happiness why the disconnect well, Jessica says one issue is in donate languages, really different beast than regular, spoken or language. We've adapted words from the English or capillary to mean things in different situations take for example L. O. L.. I've tweeted the word. To Flood Express irony, annoyance companies just feel surprise when the mature for mentioning. As a market of happiness included in the nineteen nineties, it still laughing out loud well. There are plenty of terms that are less misleading, says shed are models. Tell us that words like excited. Fun Grades. Opportunity interesting fantastic. Those a better words for measuring subjective OBI looking at the data, their work appears in the proceedings of the National Academy of Sciences being able to get an accurate read on the mood of the population is no laughing matter, and is particularly important now in the time of covert where we're expecting a mental health crisis, and we're already seeing in survey data, the largest diminishment and subjective oh being. Ten years at least if not ever no doubt we could all use more fantastic opportunities for great phone excitement. Give or take yellow. Thanks for listening for scientific Americans sixty seconds science. I'm Karen Hopkin.