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.
How to Tell if a Tweet is Truthful
Author: Shelly Palmer
Shelly Palmer is Fox 5 New York's On-air Tech Expert (WNYW-TV) and the host of Fox Television's monthly show Shelly Palmer Digital Living. He also hosts United Stations Radio Network's, Shelly Palmer Digital Living Daily, a daily syndicated radio report that features insightful commentary and a unique insiders take on the biggest stories in technology, media, and entertainment. He is Managing Director of Advanced Media Ventures Group, LLC an industry-leading advisory and business development firm and a member of the Executive Committee of the National Academy of Television Arts & Sciences (the organization that bestows the coveted Emmy® Awards).