(Georgia Institute of Technology) By scanning 66 million tweets linked to nearly 1,400 real-world events, Georgia Institute of Technology researchers have built a language model that identifies words and phrases that lead to strong or weak perceived levels of credibility on Twitter. Their findings suggest that the words of millions of people on social media have considerable information about an event's credibility -- even when an event is still ongoing.
from EurekAlert! - Social and Behavioral Science http://ift.tt/2jdZfFZ
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