There’s a lot of noise and very little signal on Twitter, and sometimes it can be hard to know what to pay attention to. A team of scientists might be able to help with that, though, because they’re developing algorithms to sort the truthful tweets from the lies. Slate reports new research, due to be published in the journal Internet Research next month, which uses a series of tests to predict whether tweets are true or otherwise. It looks for obvious clues which humans spot instinctively: messages are more likely to be true if they come from a well-followed source, are longer, or contain URLs, for instance. Language is important, too: question marks, exclamation marks, and first- or third-person pronouns all hint that a tweet shouldn’t be trusted. Roll that all together, and the researchers have developed an algorithm that can tell if a tweet’s truthful 86 percent of the time.
About Shelly Palmer
Named one of LinkedIn’s Top 10 Voices in Technology, Shelly Palmer is President & CEO of Palmer Advanced Media, a strategic advisory and business development practice focused at the nexus of technology, media and marketing with a special emphasis on data science and data-driven decision making. He is Fox 5 New York's on-air tech and digital media expert and a regular commentator on CNBC and CNN. Follow @shellypalmer or visit shellypalmer.com or subscribe to our daily email http://ow.ly/WsHcb
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"How to Tell if a Tweet is Truthful" by @ShellyPalmer
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