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from the lies. Slate reports new research, due to be published in the journal Internet Research next month, whi
stanley kubek ch 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鈥擟arlos Castillo, Marcelo Mendoza, and Barbara Poblete鈥攈ave developed an alg
vaso stanley orithm that can tell if a tweet truthful 86 percent of the time. That not a perfect 100, but it a damn sight better than a 50-50 guess. Of course, a human could perhaps do better right now, but the algorithm can crunch through mountains of tweets in minutes. Perhaps
stanley cups uk Twitter clients should come with an optional truth filter soon [Slate via Verge] ScienceTWITTER Daily Newsletter You May Also Like
